~/conference

UbiComp / ISWC 2020

date:2020-09-12..2020-09-17
location:-- online --
series:UbiComp/ISWC · one edition

WELCOME TO UBICOMP 2020 NEWS UbiComp / ISWC 2020 had over 900 registered attendees enjoying 15 paper sessions, flanked by 6 keynotes, 6 workshops, a doctoral colloquium, a

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SyncWISE: Window Induced Shift Estimation for Synchronization ofVideo and Accelerometry from ...Yun Zhang, Shibo Zhang, Santosh Kumar, James M. Rehg, Nabil Alshurafa, Bonnie Spring, Miao Liu, Elyse Daly, Samuel Battalio06m
Presents a concrete algorithm called SyncWISE that aligns wearable camera video and wrist accelerometer streams by estimating window-induced time shifts…
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Design and Evaluation of DIO Construction Toolkit for Co-making Shared ConstructionsJatin Arora, Kartik Mathur, Manvi Goel, Piyush Kumar, Abhijeet Mishra, Aman Parnami06m
A dome-shaped tangible toolkit called DIO lets 8–12 year olds wire physical modules together and program them with an AR smartphone; modules use…
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Battery-free GameBoyJasper de Winkel, Vito Kortbeek, Josiah Hester, Przemysław Pawełczak06m
A battery-free handheld runs off-the-shelf Game Boy ROMs like Tetris and Super Mario Land by harvesting sunlight and energy from button presses and using a…
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What If Conversational Agents Became Invisible? Comparing Users’ Mental Models According to ...Sunok Lee, Minji Cho, Sangsu Lee06m
Study compares visible versus hidden conversational agents using a drawing-and-interview study with 30 novice users interacting with 3 AI speakers placed in…
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Using Sonar for Liveness Detection to Protect Smart Speakers against Remote AttackersYeonjoon Lee, Yue Zhao, Jiutian Zeng, Kwangwuk Lee, Nan Zhang, Faysal Hossain Shezan, Yuan Tian, Kai Chen, XiaoFeng Wang06m
A sonar-based liveness detector emits an inaudible wide-band ultrasonic pulse and analyzes Doppler shifts from reflections using a Raspberry Pi 3B with a…
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Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale ...Jisu Jung, Lyndal Wellard-Cole, Colin Cai, Irena Koprinska, Kalina Yacef, Margaret Allman-Farinelli, Judy Kay06m
EaT implements a novel Search-Accelerator to speed lookup in a over 6,000 foods database; a public health field study with 1,027 participants logs 30,715 food…
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AssessBlocks: Exploring Toy Block Play Features for Assessing Stress in Young Children after ...Xiyue Wang, Kazuki Takashima, Tomoaki Adachi, Patrick Finn, Ehud Sharlin, Yoshifumi Kitamura06m
Prototypes of sensor-embedded blocks with IMUs collect motion and posture data from 52 children (15 tsunami-exposed) during 20-minute free play sessions, while…
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OptiStructures: Fabrication of Room-Scale Interactive Structures with Embedded Fiber Bragg ...Saiganesh Swaminathan, Jonathon Fagert, Michael L. Rivera, Andrew Cao, Gierad Laput, Hae Young Noh, Scott E. Hudson05m
Embedding Fiber Bragg Grating sensors into cast materials lets room-scale objects both sense and display: optical fibers carry light, FBG gratings reflect…
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NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living ConditionsShibo Zhang, Yuqi Zhao, Dzung Tri Nguyen, Runsheng Xu, Sougata Sen, Josiah Hester, Nabil Alshurafa06m
A multi-sensor necklace that uses a proximity sensor, ambient light, and lean forward angle plus an energy proxy to detect chewing sequences and cluster them…
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A Multi-Sensor Approach to Automatically Recognize Breaks and Work Activities of Knowledge ...Elena Di Lascio, Shkurta Gashi, Juan Sebastian Hidalgo, Beatrice Nale, Maike E. Debus, Silvia Santini06m
449 labeled activities from nine knowledge workers drive evaluation using smartwatch EDA and BVP, wrist accelerometer, phone logging, and RescueTime laptop…
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mSense: Towards Mobile Material Sensing with a Single Millimeter-Wave RadioChenshu Wu, Feng Zhang, Beibei Wang, K. J. Ray Liu06m
A prototype reuses an 802.11ay single 60GHz mmWave radio with an added 32-element array and 3.52 GHz bandwidth to act as radar, outputs CIR and uses subsample…
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PrivateBus: Privacy Identification and Protection in Large-Scale Bus WiFi SystemsZhihan Fang, Boyang Fu, Zhou Qin, Fan Zhag, Desheng Zhang06m
Analysis of 20 million connection records and 78 million location records from 770,000 bus WiFi users measures re-identification risk and a defense. A PB-FIND…
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VibroSense: Recognizing home activities by deep learning subtle vibrations on an interior ...Wei Sun, Tuochao Chen, Jiayi Zheng, Zhenyu Lei, Lucy Wang, Benjamin Steeper, Peng He, Matthew Dressa, Feng Tian, Cheng Zhang06m
A system uses a single-point Laser Doppler vibrometer on a wall or ceiling to capture subtle structural vibrations, applies Wavelet denoising, STFT into…
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ER-Rhythm: Coupling Exercise and Respiration Rhythm Using Lightweight COTS RFIDYanni Yang, Jiannong Cao, Xiulong Liu06m
System uses lightweight COTS RFID tags stuck to limbs and chest to extract locomotion and respiration rhythms and then computes locomotor-respiratory coupling…
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Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical ActivityPeng Liao, Kristjan Greenewald, Predrag Klasnja, Susan Murphy06m
A reinforcement learning algorithm for HeartSteps V2 decides five times per day whether to send a walking suggestion using a Bayesian low-dimensional linear…
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VocaBura: A Method for Supporting Second Language Vocabulary Learning While WalkingAri Hautasaari, Takeo Hamada, Kuntaro Ishiyama, Shogo Fukushima06m
VocaBura is a smartphone method that plays GPS-triggered L1-L2 audio as users pass buildings so learners pick up vocabulary without looking at the screen. A…
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Interruptibility for In-vehicle Multitasking: Influence of Voice Task Demands and Adaptive BehaviorsAuk Kim, Jung-Mi Park, Uichin Lee06m
Study analyzes data from 29 drivers doing proactive voice tasks under three levels of secondary-task demand and four maneuvers (STOP, STRAIGHT, TURN, LANE…
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Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility ...Yang Yu, Zhihan Fang, Xiaoyang Xie, Fan Zhang, Yunhuai Liu, Desheng Zhang06m
A system called Mohen links a city-scale stationary sensing network of highway toll stations to a small-scale mobile sensing GPS corpus to infer where people…
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The StoryTeller: Scalable Building- and AP-independent Deep Learning-based Floor PredictionRizanne Elbakly, Moustafa Youssef05m
System converts device WiFi scans into WiFi-scan images, normalizes them into a virtual building footprint, and feeds those images to a VGG19-based CNN for…
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AppMoD: Helping Older Adults Manage Mobile Security with Online Social HelpZhiyuan Wan, Lingfeng Bao, Debin Gao, Eran Toch, Xin Xia, Tamir Mendel, David Lo06m
AppMoD is an Android app that delegates mobile security decisions to a trusted contact and to community statistics; it logs anomalies, notifies an advisee, and…
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mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave SignalsPanneer Selvam Santhalingam, Al Amin Hosain, Ding Zhang, Parth Pathak, Huzefa Rangwala, Raja Kushalnagar06m
mmASL uses a 60 GHz millimeter-wave NI+Si beam multi‑FPGA software radio platform and a Doppler‑spread spatial spectrogram pipeline to enable visual wake‑word…
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WiBorder: Precise Wi-Fi based Boundary Sensing via Through-wall DiscriminationShengjie Li, Zhaopeng Liu, Yue Zhang, Qin Lv, Xiaopeng Niu, Leye Wang, Daqing Zhang06m
WiBorder claims precise Wi‑Fi sensing boundaries by discriminating through‑wall vs. inside reflections using Channel State Information from commodity devices…
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MAAT: Mobile Apps As Things in the IoTWyatt Lindquist, Sumi Helal, Ahmed Khaled, Gerald Kotonya, Jaejoon Lee06m
MAAT makes mobile apps behave as first‑class IoT devices by extending the Atlas thing architecture with actionable keywords that mark hidden UI elements which…
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DeepMV: Multi-View Deep Learning for Device-Free Human Activity RecognitionHongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su06m
DeepMV is a multi-view deep model that fuses COTS Wi-Fi and ultrasound signals from 12 heterogeneous views (also evaluated with 9 Wi‑Fi views), trained on data…
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MAIL: Multi-Scale Attention-Guided Indoor Localization Using Geomagnetic SequencesQun Niu, Tao He, Ning Liu, Suining He, Xiaonan Luo, Fan Zhou06m
MAIL is a neural pipeline that localizes pedestrians from raw geomagnetic sequences by splitting each sequence into GRU-based subsequences, extracting…
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A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity RecognitionYoungjae Chang, Akhil Mathur, Anton Isopoussu, Junehwa Song, Fahim Kawsar06m
Wearable IMU HAR models suffer up to 90% accuracy drop when sensor placement changes. This paper evaluates three unsupervised domain adaptation methods on four…
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ReVibe: A context-assisted evening recall approach to improve self-report adherenceMashfiqui Rabbi, Katherine Li, H. Yanna Yan, Kelly Hall, Predrag Klasnja, Susan Murphy07m
A smartphone app called ReVibe records location, activity, and ambient sound throughout the day and shows 30-minute context snippets in the evening to help…
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CellPred: A Behavior-aware Scheme for Cellular Data Usage PredictionZhou Qin, Fang Cao, Yang Yu, Shuai Wang, Yunhuai Liu, Chang Tan, Desheng Zhang06m
Claims per-user cellular data prediction improves tower-level forecasts by adding behavioral tags from subscription records and mobility/usage signals. Uses a…
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How Subtle Can It Get? A Trimodal Study of Ring-sized Interfaces for One-Handed Drone ControlYui-Pan Yau, Lik Hang Lee, Zheng Li, Tristan Braud, Yi-Hsuan Ho, Pan Hui06m
Compares four one-handed control mappings implemented first on a phone and then in a ring prototype: uni-modal touch baseline (M1), bi-modal touch+IMU (M2)…
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Quantifying the Relationships between Everyday Objects and Emotional States through Deep ...Victor-Alexandru Darvariu, Laura Convertino, Abhinav Mehrotra, Mirco Musolesi06m
Built an Android logging system called MyMood app that collects ESM mood entries with photos and 7‑point Likert scores, runs deep learning object detection on…
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Scheduling Content in Pervasive Display SystemsSarah Clinch, Mateusz Mikusz, Ivan Elhart, Nigel Davies, Marc Langheinrich06m
Claims a three-stage architecture that splits scheduling into High Level Goal Setting, Filtering, and Selection and implements it on the world’s largest…
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Recognizing Unintentional Touch on Interactive TabletopXuhai Xu, Chun Yu, Yuntao Wang, Yuanchun Shi06m
Uses gaze and head orientation plus touch to classify accidental contacts on a capacitive tabletop, extracting five spatio-temporal features (distance from…
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HeadCross: Exploring Head-Based Crossing Selection on Head-Mounted DisplaysYukang Yan, Yingtian Shi, Chun Yu, Yuanchun Shi06m
HeadCross implements a head-driven cursor on VR/AR headsets and selects by crossing into a target and crossing back; recognition uses sharp-turn detection and…
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RISC: Resource-Constrained Urban Sensing Task Scheduling Based on Commercial FleetsXiaoyang Xie, Zhihan Fang, Yang Wang, Fan Zhang, Desheng Zhang06m
RISC implements an MDP-based scheduling system that predicts vehicle locations, builds a vehicle–region graph, and casts each time slot as a set-cover…
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Learning from Hometown and Current City: Cross-city POI Recommendation via Interest Drift and ...Jingtao Ding, Guanghui Yu, Yong Li, Depeng Jin, Hui Gao06m
Proposes PR-UIDT, a matrix-factorization framework that splits each user vector into a city-independent part and a city-dependent part and represents each POI…
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Predicting Brain Functional Connectivity Using Mobile SensingMikio Obuchi, Jeremy F. Huckins, Weichen Wang, Alex Dasilva, Courtney Rogers, Eilis Murphy, Elin Hedlund, Paul Holtzheimer, Shayan Nmirjafari, Andrew T. Campbell07m
Mobile phone sensors (microphone, unlocks, sleep, GPS) predict resting-state vmPFC–amygdala RSFC in 92 first-year students scanned once and passively sensed…
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Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for ...Boning Li, Akane Sano06m
A Locally Connected LSTM Denoising AutoEncoder (LC-LSTM-DAE) learns temporal features from 8 Hz Affectiva Q-sensor streams (skin conductance, skin temperature…
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Zygarde: Time-Sensitive On-Device Deep Inference and Adaptationon Intermittently-Powered SystemsBashima Islam, Shahriar Nirjon06m
Zygarde is an energy- and accuracy-aware scheduler that runs compressed DNNs on batteryless microcontroller-class devices, modeling bursty harvestable energy…
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Personalized Context-aware Collaborative Online Activity PredictionYali Fan, Zhen Tu, Yong Li, Xiang Chen, Hui Gao, Lin Zhang, Li Su, Depeng Jin07m
Builds a user-location-time-activity 4D-tensor and a location-time-POI 3D-tensor, uses Telecom app logs (7 days, ~2000 apps) and Check-in data (3 months, 16…
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My Mom was Getting this Popup: Understanding Motivations and Processes in Helping Older ...Tamir Mendel, Eran Toch06m
Mixed-method study uses 187 MTurk participants and analyzes 86 older-relative stories to build a trigger → seeker-expectation → helper-reaction model for…
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PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated LearningJie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li06m
Proposes a mobility predictor that keeps raw trajectories on-device and only exchanges model weights, combining federated learning with differential privacy…
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V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF SensingTianyue Zheng, Zhe Chen, Chao Cai, Jun Luo, Xu Zhang06m
A compact system mounted on the windshield uses a COTS impulse radio plus a Raspberry Pi and power supply to separate reflections by range and time and…
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Tourgether: Exploring Tourists’ Real-time Sharing of Experiences as a Means of Encouraging ...Yung-Ju Chang, Chu-Yuan Yang, Ying-Hsuan Kuo, Wen-Hao Cheng, Chun-Liang Yang, Fang-Yu Lin, I-Hui Yeh, Chih-Kuan Hsieh, Ching-Yu Hsieh, Yu-Shuen Wang06m
Tourgether is a mobile app that surfaces real-time check-ins (photos and short reviews) from nearby tourists and a field experiment shows concrete effects…
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METIER: A Deep Multi-Task Learning Based Activity and User Recognition Model Using Wearable SensorsLing Chen, Yi Zhang, Liangying Peng05m
METIER jointly trains activity and user recognition and claims better robustness to new users and activity shifts by transferring knowledge between tasks…
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Intermittent Learning: On-Device Machine Learning on Intermittently Powered SystemSeulki Lee, Bashima Islam, Yubo Luo, Shahriar Nirjon06m
Framework schedules ML subtasks around harvest interrupts and uses an algorithm plus three runtime heuristics to decide which examples to keep or discard…
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Assumptions Checked: How Families Learn About and Use the Echo DotErin Beneteau, Yini Guan, Olivia K. Richards, Mingrui Ray Zhang, Julie A. Kientz, Jason C. Yip, Alexis Hiniker06m
Study deploys 10 diverse families with Echo Dots for one month and captures 14.5 hours of audio, finding families narrow the number of features they use…
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Making It Personal: Addressing Individual Audience Members in Oral Presentations Using Augmented ...Dhaval Parmar, Timothy Bickmore05m
AR system uses Microsoft HoloLens to show real‑time audience names, affect, volume/rate icons, and typed questions; tested with 37 presenters and 52 audience…
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An Automated Mobile Game-based Screening Tool for Patients with Alcohol DependenceJittrapol Intarasirisawat, Chee Siang Ang, Christos Efstratiou, Luke William Feidhlim Dickens, Burachai Asawathaweeboon, Naranchaya Sriburapar, Dinkar Sharma06m
An app captures gameplay performance, touch gestures and device motion while people play Tetris, Fruit Ninja and Unblock Puzzle and uses cleaned touch data…
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Rataplan: Resilient Automation of User Interface Actions with Multi-modal ProxiesTom Veuskens, Kris Luyten, Raf Ramakers06m
Rataplan records demonstrated GUI actions and links them to physical or keyboard proxies, using pixel-based reverse engineering and automated hover and click…
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Keep the Phone in Your Pocket: Enabling Smartphone Operation with an IMU Ring for Visually ...Guanhong Liu, Yizheng Gu, Yiwen Yin, Chun Yu, Yuntao Wang, Haipeng Mi, Yuanchun Shi07m
A ring with a 9-axis IMU mounted on the index finger and wired to an Arduino senses subtle one-handed taps and swipes; data is filtered with Madgwick and fed…
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ESPRESSO: Entropy and Shape Aware Time Series Segmentation for Processing Heterogeneous Sensor DataShohreh Deldari, Daniel Smith, Amin Sadri, Flora D. Salim06m
ESPRESSO segments multivariate sensor streams by combining Matrix Profile pattern matching and an entropy-driven greedy search (inspired by IGTS) to pick…
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VocalLock: Sensing Vocal Tract for Passphrase-Independent User Authentication Leveraging ...Li Lu, Jiadi Yu, Yingying Chen, Yan Wang06m
A smartphone system senses the vocal tract with FMCW acoustic sensing (20 ms period, 16–24 kHz) to capture static shape and dynamic movement, converts…
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A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job ...Vedant Das Swain, Koustuv Saha, Hemang Rajvanshy, Anusha Sirigiri, Julie M. Gregg, Suwen Lin, Gonzalo J. Martinez, Stephen M. Mattingly, Shayan Mirjafari, Raghu Mulukutla, Subigya Nepal, Kari Nies, Manikanta D. Reddy, Pablo Robles-Granda, Andrew T. Campbell, Nitesh V. Chawla, Sidney D’Mello, Anind K. Dey, Kaifeng Jiang, Qiang Liu, Gloria Mark, Edward Moskal, Aaron Striegel, Louis Tay, Gregory D. Abowd, Munmun De Choudhury05m
Uses sensor data from 603 information workers (Tesserae) and multimodal streams—wearables smartphones bluetooth social media—to cluster day-level activity and…
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IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at ScaleDanny Yuxing Huang, Noah Apthorpe, Frank Li, Gunes Acar, Nick Feamster06m
An open-source tool called IoT Inspector runs on Mac, Linux, and Windows and captures traffic without extra hardware by using ARP spoofing to sit on-path…
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HeartQuake: Accurate Low-Cost Non-Invasive ECG Monitoring Using Bed-Mounted GeophonesJaeYeon Park, Hyeon Cho, Rajesh Balan, Jeonggil Ko06m
A bed-mounted system uses an SM-24 geophone plus amplifier and Raspberry Pi to capture mattress-transmitted heartbeat vibrations, applies a 5–30 Hz band-pass…
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GlobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information FusionShengzhong Liu, Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Huajie Shao, Tarek Abdelzaher06m
Proposes GlobalFusion, an end-to-end CNN+RNN pipeline that inserts lightweight global attention modules for spatial and modality fusion, computing attention as…
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Listen to Your Fingers: User Authentication based on Geometry Biometrics of Touch GestureHuijie Chen, Fan Li, Wan Du, Song Yang, Matthew Conn, Yu Wang06m
System uses active acoustic sensing and a Zadoff‑Chu sequence to capture multipath echoes of hand posture while entering PINs or patterns, building an…
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FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by ...Fang Hu, Peng He, Songlin Xu, Yin Li, Cheng Zhang07m
A wristband prototype with four 32×24 thermal cameras and a ResNet34-based deep network reconstructs 20 joint 3D hand poses from wrist silhouettes only, using…
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Fine-Grained Air Pollution Inference with Mobile Sensing Systems: A Weather-Related Deep ...Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang07m
A deep autoencoder pairs an encoder with a decoder that uses a weather-related ConvLSTM whose structure is tied to an atmospheric dispersion model, enabling…
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BodyCompass: Monitoring Sleep Posture with Wireless SignalsShichao Yue, Yuzhe Yang, Hao Wang, Hariharan Rahul, Dina Katabi06m
A wall-mounted low-power RF device emits signals, isolates RF reflections filtered by breathing to separate body echoes from static multipath, and feeds them…
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(M)ad to See Me? Intelligent Advertisement Placement: Balancing User Annoyance and Advertising ...Ngoc Thi Nguyen, Agustin Zuniga, Hyowon Lee, Pan Hui, Huber Flores, Petteri Nurmi06m
Prototype PerceptiveAds uses a client-server prototype and three tactics — adaptive placement, adaptive presentation and adaptive interaction — to place…
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Real-time Travel Time Estimation with Sparse Reliable Surveillance InformationWen Zhang, Yag Wang, Xike Xie, Chuancai Ge, Hengchang Lou06m
Claims real-time OD travel time from sparse intersection cameras by inferring missing intersection volumes and fusing static and dynamic features. Uses a…
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IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity ...Hyeokhyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Nicholas D. Lane, Gregory D. Abowd, Thomas Ploetz06m
IMUTube converts online video into virtual on-body accelerometers by applying 2D and 3D pose estimation and signal processing to reconstruct body motion and…
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Dyadic Mirror: Everyday Second-person Live-view for Empathetic Reflection upon Parent-child ...Wonjung Kim, Seungchul Lee, Seonghoon Kim, Sungbin Jo, Chungkuk Yoo, Inseok Hwang, Seungwoo Kang, Junehwa Song06m
A wearable smart mirror comprising a child-worn vest with a tiny smartphone and wide-angle lens crops and magnifies the parent’s face to show a second-person…
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Glaze: Overlaying Occupied Spectrum with Downlink IoT TransmissionsZerina Kapetanovic, Ali Saffari, Ranveer Chandra, Joshua R Smith06m
Glaze overlays a low-rate downlink channel on occupied TV, FM or Wi‑Fi by plugging a module into a radio antenna port and introducing small attenuation…
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Dynamic Public Resource Allocation Based on Human Mobility PredictionSijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng06m
Formulates public-resource movement as a multi-agent long-term maximal coverage scheduling problem and combines multi-step crowd flow prediction with Model…
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Facilitating Temporal Synchronous Target Selection through User Behavior ModelingTengxiang Zhang, Xin Yi, Ruolin Gao, Yuntao Wang, Chun Yu, Simin Li, Yuanchun Shi06m
Builds a Gaussian tapping model from a 12‑participant study of 300–700 ms periods (50 ms steps) and uses 2σ lag spacing to generate up to 22 optimized temporal…
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Mobile Device Batteries as ThermometersLiang He, Youngmoon Lee, Kang G. Shin05m
Claim: mobile batteries reliably indicate ambient temperature. Implementation: BaT runs on Android, continuously reads battery voltage, current, and…
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Calm Commute: Guided Slow Breathing for Daily Stress Management in DriversStephanie Balters, Matthew L. Mauriello, So Yeon Park, James A. Landay, Pablo E. Paredes06m
A haptic-guided slow breathing system using a seat-mounted haptic breath-guidance pad reduces breathing rate and increases RMSSD (heart rate variability)…
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Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal ...Xingxin Xia, Joseph Korpela, Yasuo Namioka, Takuya Maekawa06m
Unsupervised system segments repetitive assembly cycles from body-worn accelerometer data by tracking period motifs that occur once per cycle and action motifs…
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Towards the Design of a Ring Sensor-based mHealth System to Achieve Optimal Motor Function in ...Yoojung Kim, Hee-Tae Jung, Joonwoo Park, Yangsoo Kim, Nathan Ramasarma, Paolo Bonato, Eun Kyoung Choe, Sunghoon Ivan Lee06m
Pair of ring-type accelerometers worn on fingers capture both gross-arm and fine-hand motion and yield a new metric, duration of active bilateral limb use…
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DrawingPresence: A Method for Assessing Temporal Fluctuations of Presence Status in a VR ExperienceChristian Mai, Niklas Thiem, Heinrich Hussmann07m
Proposes a paper-based drawing template where participants draw presence amplitude over time, converts drawings to numeric parameters (transition time…
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Trace2TAP: Synthesizing Trigger-Action Programs From Traces of BehaviorLefan Zhang, Weijia He, Olivia Morkved, Valerie Zhao, Michael L. Littman, Shan Lu, Blase Ur06m
Method synthesizes all trigger-action programs that explain past manual actuations using symbolic reasoning and an SMT solver, handles out-of-order events and…
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Auto-Key: Using Autoencoder to Speed Up Gait-based Key Generation in Body Area NetworksYuezhong Wu, Qi Lin, Hong Jia, Mahbub Hassan, Wen Hu06m
Auto-Key uses a denoising autoencoder to predict chest accelerometer signals from distant wearables, raising bit agreement by 16.5% and making symmetric key…
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CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning ApproachQianru Wang, Junbo Zhang, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun, Zhiwen Yu, Yu Zheng06m
Proposes a machine learning model called NeuroFire that models internal temporal signals (historical incidents), external temporal signals (weather) and…
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Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population ...Bing Zhai, Ignacio Perez-Pozuelo, Emma A.D. Clifton, Joao Palotti, Yu Guan05m
Study uses multimodal actigraphy and ECG from 1,743 participants to extract 370 activity statistics and HRV features per epoch, aligns RR intervals with…
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OptoSense: Towards Ubiquitous Self-Powered Ambient Light Sensing SurfacesDingtian Zhang, Jung Wook Park, Yang Zhang, Yuhui Zhao, Yiyang Wang, Yunzhi Li, Tanvi Bhagwat, Wen-Fang Chou, Xiaojia Jia, Bernard Kippelen, Canek Fuentes-Hernandez, Thad E. Starner, Gregory D. Abowd06m
A self-contained system combines a flexible imaging surface, photodetectors, a control circuit for power management and wireless comms, and a 3D-printed…
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Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using WearablesTaoran Sheng, Manfred Huber06m
Proposes a weakly supervised multi-output siamese network that learns separate but linked embedding spaces so one space groups activity types and another…
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Decentralized Attention-based Personalized Human Mobility PredictionZipei Fan, Zhen-Pan Li, Xuan Song, Jianqing Sun, Nan Zhang, Renhe Jiang, Quanjun Chen, Guandong Xu, Panpan Xu, Ryosuke Shibasaki07m
Proposes a decentralized attention-based predictor that personalizes by retrieving similar past trajectories (meta-learning) and trains across phones via…
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EchoWhisper: Exploring an Acoustic-based Silent Speech Interface for Smartphone UsersYang Gao, Yincheng Jin, Jiyang Li, Seokmin Choi, Zhanpeng Jin06m
Smartphone emits a 20 kHz ultrasound and uses the dual microphones to record micro-Doppler reflections from mouth and tongue motions, then applies noise…
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SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation SensorsYunhe Feng, Qing Cao, Hairong Qi, Scott Ruoti05m
A mobile-first CAPTCHA that uses orientation sensors drives a red ball into an animal eye; images are mutated by rotation, zooming, and tiling and trajectory…
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Exploring LoRa for Long-range Through-wall SensingFusang Zhang, Zhaoxin Chang, Kai Niu, Jie Xiong, Beihong Jin, Qin Lv, Daqing Zhang06m
Presents a concrete claim that LoRa CSS signals enable long-range contactless sensing and demonstrates a working prototype: a Semtech LoRa transmitter on an…
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Leveraging Free-Hand Sketches for Potential Screening of PTSDFarhana Shahid, Wasifur Rahman, M. Saifur Rahman, Sharmin Akther Purabi, Ayesha Seddiqa, Moin Mostakim, Farhan Feroz, Tanjir Rashid Soron, Fahmida Hossain, Nabila Khan, Anika Binte Islam, Nipi Pau, Ehsan Hoque06m
Free-hand home sketches from Rohingya refugees (n=44), slum-dwellers (n=35) and engineering students (n=85) are digitized with a mobile phone camera and…
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Detection of Artifacts in Ambulatory Electrodermal Activity DataDingtian Zhang, Jung Wook Park, Yang Zhang, Yuhui Zhao, Yiyang Wang, Yunzhi Li, Tanvi Bhagwat, Wen-Fang Chou, Xiaojia Jia, Bernard Kippelen, Canek Fuentes-Hernandez, Thad E. Starner, Gregory D. Abowd06m
An automatic approach detects artifacts in ambulatory EDA using EDA together with skin temperature and wrist acceleration as inputs, segmented into five‑second…
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FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric ...Guang Wang, Yongfeng Zhang, Zhihan Fang, Shuai Wang, Fan Zhang, Desheng Zhang06m
A deployed recommendation system called FairCharge assigns charging targets for fleets using real GPS and transaction streams from Shenzhen (≈16,400 taxis, 117…
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Ready, Steady, Touch! — Sensing Physical Contact with a Finger-Mounted IMUYilei Shi, Haimo Zhang, Kaixing Zhao, Jiashuo Cao, Mengmeng Sun, Suranga Nanayakkara05m
A single nail-mounted IMU plus orientation tracking and a Convolutional Neural Network classifies touch vs no-touch with >95% accuracy when trained on a rigid…
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InSight: Monitoring the state of the driver in low-light using smartphonesIshani Janveja, Akshay Nambi, Shruthi Bannur, Sanchit Gupta, Venkat Padmanabhan06m
Windshield-mounted smartphone captures near-infrared illumination using a retrofit 810nm NIR LED and repurposes standard RGB sensors to see the driver at 40–50…
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KEHKey: Kinetic Energy Harvester-based Authentication and Key Generation for Body Area NetworkQi Lin, Weitao Xu, Guohao Lan, Yesheng Cui, Hong Jia, Wen Hu, Mahbub Hassan, Aruna Seneviratne06m
KEHKey converts piezoelectric energy-harvester output into symmetric keys using SensorTag loggers instrumented with PPA 1001 piezoelectric cantilevers and a…
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Adversarial Multi-view Networks for Activity RecognitionLei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu06m
Proposes DAMUN: a multi-view CNN extractor that builds temporal, spatial and spatio-temporal representations, fuses them with a trainable Hadamard fusion…
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Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population ...Tony Liu, Jennifer Nicholas, Max M.06m
Combining phone logs, demographics and labeled places, the study trains automated models and shows adding semantic location boosts accuracy, reaching F1 = 0.68…
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End-User Development of Experience Sampling Smartphone Apps - Recommendations and RequirementsDaniel J. Rough, Aaron J Quigley06m
Paper presents concrete recommendations and requirements for end-user development of experience sampling apps, based on a Jeeves prototype used in interviews…
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Investigating Users’ Preferences and Expectations for Always-Listening Voice AssistantsMadiha Tabassum, Tomasz Kosiński, Alisa Frik, Nathan Malkin, Primal Wijesekera, Serge Egelman, Heather Richter Lipford06m
Survey of 178 participants asks listeners to suggest services after a 2‑minute real conversation and finds expectations of proactive product recommendations…
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Privacy Adversarial Network: Representation Learning for Mobile Data PrivacySicong Liu, Junzhao Du, Anshumali Shrivastava, Lin Zhong05m
Introduces PAN, a device-side encoder trained with a utility discriminator and one or two adversaries to force representations to keep task-relevant signals…
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“He Is Just Like Me”: A Study of the Long-Term Use of Smart Speakers by Parents and ChildrenRadhika Garg, Subhasree Sengupta06m
Eighteen families contribute about 40,000 commands logged over an average of 58 weeks, showing adults stick to music and smart‑home control while children…
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AuraRing: Precise Electromagnetic Finger TrackingFarshid Salemi Parizi, Eric Whitmire, Shwetak N. Patel07m
A wearable system consisting of a battery-powered ring (800 wire turns, 2.3 mW) and a wristband with three tri-axial sensor coils estimates five-DOF ring pose…
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Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition ManagementJessica Schroeder, Ravi Karkar, Natalia Murinova, James Fogarty, Sean A. Munson06m
A reanalysis of prior migraine tracking data yields a paper prototype that explicitly elicits and encodes tracking aims, lets users choose symptoms…
Talk
n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the WildNan Gao, Wei Shao, Mohammad Saiedur Rahaman, Flora D. Salim06m
n-Gage uses wearables (EDA, heart rate, motion) and room sensors (CO2, temperature, humidity) plus daily surveys to predict emotional, behavioural and…
Talk
Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor DataHaroon Rashid, Sanjana Mendu, Katharine E Daniel, Miranda L. Beltzer, Mehdi Boukhechba, Laura E. Barnes, Bethany A. Teachman06m
Smartphone passive sensors (via MetricWire) and nightly 10 PM EMAs collect day-level features from 80 participants over five weeks to predict seven…
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Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home DevicesSourav Bhattacharya, Dionysis Manousakas, Stylianos I. Venieris, Nicholas D. Lane, Cecilia Mascolo06m
Compressed on-device audio DNNs get a concrete defense: add noise to SVD diagonal elements during training (stochastic compression), optimize cross-entropy…
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Designing and Evaluating Hand-to-Hand Gestures with Dual Commodity Wrist-Worn DevicesYiqin Lu, Bingjian Huang, Chun Yu, Guahong Liu, Yuanchun Shi06m
Dual commodity wrist devices use inertial and microphone data plus dual-device features like relative rotation and correlation and two SVMs to detect…
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CarOSense: Car Occupancy Sensing with the Ultra-Wideband Keyless InfrastructureYongsen Ma, Yunze Zeng, Vivek Jain06m
CarOSense reuses the car’s UWB keyless infrastructure to sense per-seat occupancy by turning Channel Impulse Responses into a 4D tensor and feeding them to a…
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Leveraging Polarization of WiFi Signals to Simultaneously Track Multiple PeopleRaghav H. Venkatnarayan, Muhammad Shahzad, Sangki Yun, Christina Vlachou, Kyu-Han Kim06m
WiPolar is a system that uses commodity Wi‑Fi with dual‑polarized antennas to separate multipaths from different people by their horizontal/vertical radar…
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FingerDraw: Sub-wavelength Level Finger Motion Tracking with WiFi SignalsDan Wu, Ruiyang Gao, Youwei Zeng, Jinyi Liu, Leye Wang, Tao Gu, Daqing Zhang06m
FingerDraw reconstructs air-drawn trajectories using commodity WiFi by forming a CSI-quotient between two antennas to cancel amplitude and phase noise, then…
Talk
Will Online Digital Footprints Reveal Your Relationship Status? An Empirical Study of Social ...Jiangtao Wang, Junyi Ma, Yasha Wang, Ning Wang, Leye Wang, Daqing Zhang, Feng Wang, Qin Lv06m
Using a dataset of 2,359 users from SMM-oriented apps the study claims online footprints predict relationship status by extracting four footprint…
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CARIN: Wireless CSI-based Driver Activity Recognition under the Interference of PassengersYunhao Bai, Xiaorui Wang07m
CARIN uses Wi‑Fi Channel State Information to recognize driver activities despite passenger interference, building an offline database of single-person CSI and…
Talk
Probing Sucrose Contents in Everyday Drinks Using Miniaturized Near-Infrared Spectroscopy ScannersWeiwei Jiang, Gabriele Marini, Niels van Berkel, Zhanna Sarsenbayeva, Zheyu Tan, Chu Luo, Xin He, Tilman Dingler, Jorge Goncalves, Yoshihiro Kawahara, Vassilis Kostakos06m
A handheld system combines a standalone mobile NIRS scanner with a 3D-printed clamp that clips onto a straw or tube to noninvasively scan liquids. Evaluation…
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Silver Tape: Inkjet-Printed Circuits Peeled-and-Transferred on Versatile SubstratesTingyu Cheng, Koya Narumi, Youngwook Do, Yang Zhang, Tung D. Ta, Takuya Sasatani, Eric Markvicka, Yoshihiro Kawahara, Lining Yao, Gregory D. Abowd, HyunJoo Oh06m
A transfer-based process moves inkjet-printed silver nanoparticle traces off photo paper onto tapes and polymers (Kapton, PDMS, Scotch, 3M water‑soluble)…
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RFID Tattoo: A Wireless Platform for Speech RecognitionJingxian Wang, Chengfeng Pan, Haojian Jin, Vaibhav Singh, Yash Jain, Jason I. Hong, Carmel Majidi, Swarun Kumar06m
A wearable system of wafer-thin, skin-friendly batteryless RFID tattoos senses millimeter-scale facial skin stretch by tracking resonant frequency shifts (1 mm…
Talk
Data-Driven Battery-Lifetime-Aware Scheduling for Electric Bus FleetsSongyuan Li, Shibo He, Shuai Wang, Tian He, Jiming Chen06m
A data-driven scheduler that uses bus GPS and transaction data, K-means to extract stations, and a Prophet time-series model to predict passenger arrivals…
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SmokingOpp: Detecting the Smoking ‘Opportunity’ Context Using Mobile SensorsSoujanya Chatterjee, Alexander Moreno, Steven Lloyd Lizotte, Sayma Akther, Emre Ertin, Christopher P Fagundes, Cho Lam, James M. Rehg, Neng Wan, David W. Wetter, Santosh Kumar06m
Defines smoking opportunity context as presence of cigarette availability plus smoking allowance and shows those items Granger-cause future smoking. Uses GPS…
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UbiquiTouch: Self Sustaining Ubiquitous Touch InterfacesAnandghan Waghmare, Qiuyue Xue, Dingtian Zhang, Yuxui Zhao, Shivan Mittal, Nivedita Arora, Ceara Byrne, Thad E. Starner, Gregory D. Abowd05m
A battery-free touch pad that harvests light and runs at 30.91μW, using conductive threads or printed traces to sense location and ambient FM backscatter to…
Talk
FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital ...Forsad Al Hossain, Andrew A. Lover, George A. Corey, Nicholas G. Reich, Tauhidru Rahman06m
FluSense is a deployable edge system built from a Raspberry Pi, microphone array, thermal camera and Intel Neural Compute Stick that runs on-device models and…
Talk
Learning to Recognize Handwriting Input with Acoustic FeaturesHuanpu Yin, Anfu Zhou, Guangyuan Su, Bo Chen, Liang Liu, Huadong Ma06m
A mobile app records pen-on-surface sound, uses adaptive segmentation to slice strokes, extracts STDFT features, and sends fragments to a server running an…
Talk
Virtual Paving: Rendering a Smooth Path for People with Visual Impairment through Vibrotactile ...Shuchang Xu, Ciyuan Yang, Wenhao Ge, Chun Yu, Yuanchun Shi06m
A wearable system renders a continuous “virtual” tactile path using vibrotactile feedback on the shoulders and waist plus audio descriptions of road…
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Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer LearningXin Qin, Yiqiang Chen, Jindong Wang, Chaohui Yu06m
Proposes Adaptive Spatial-Temporal Transfer Learning that selects sources via domain distance computed with MMD, weights marginal vs conditional divergence…
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MultiSense: Enabling Multi-person Respiration Sensing with Commodity WiFiYouwei Zeng, Dan Wu, Jie Xiong, Jinyi Liu, Zhaopeng Liu, Daqing Zhang06m
MultiSense uses CSI from a single pair of commodity WiFi transceivers (three antennas each), models received signals as linear mixtures, and separates…
Talk
Mobileportation: Nomadic Telepresence for Mobile DevicesJacob Young, Tobias Langlotz, Steven Mills, Holger Regenbrecht06m
Prototype called Mobileportation combines a mobile phone with depth camera and a rear-mounted 360° camera to build and stream a realtime 3D point cloud so a…
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A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the ...Seyma Kucukozer Cavdar, Tugba Taskaya-Temizel, Mirco Musolesi, Peter Tino05m
Study collects mobile app usage and ESM responses from 31 knowledge workers over 10 workdays with a custom sensing app and extracts features like app count…
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LimbMotion: Decimeter-level Limb Tracking for Wearable-based Human-Computer InteractionHan Zhou, Yi Gao, Xinyi Song, Wenxin Liu, Wei Dong06m
A real-time system fuses smartwatch IMU data with fast acoustic ranging to recover full 3D limb posture, implemented on a Ticwatch2 with a Huawei Honor 7…
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Exploring the State-of-Receptivity for mHealth InterventionsFlorian Künzler, Varun Mishra, Jan-Niklas Kramer, David Kotz, Elgar Fleisch, Tobias Kowatsch06m
Study with 189 participants over 6 weeks deploys a chatbot coach Ally to push step-goal interventions and logs responses, activity, location, and phone state…
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