A Scalable Solution for Signaling Face Touches to Reduce the Spread of Surface-based Pathogens.
summary
Saving Face turns any smartphone plus generic earbuds into an inaudible sonar that signals hand-to-face touches by combining FMCW and Doppler signal features, running a logistic regression trained on a 29-person dataset to separate face touches from daily activities. Implementation is an iPhone app available on iPhone, evaluated across environments with 93.7% sensitivity and 91.5% precision, claims rapid scalability to billions of users, and reports positive user acceptance in the study.
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