~/talk

M.Gesture: An Acceleration-Based Gesture Authoring System on Multiple Handheld and Wearable Devices

Talkat CHI 2016 · 2016-05-07..05-12· [embedded-and-hardware, ux-and-product-design]
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M.Gesture is a smartphone/watch authoring app that visualizes accelerometer streams with a mass-spring metaphor and lets users define gestures by demonstration plus graphical declaration using intersecting hurdle planes. Built for single or multi-device setups, it runs a hurdle filter then DTW on candidates, yielding about 88% precision, ~4 percentage points better than plain DTW and 26% faster. Lab studies (20 participants, ~1,000 gesture trials) show average composition under 100 seconds and 90% under 2.5 minutes; rotational visibility and long‑term robustness remain open issues.

AI-written summary · about

  1. 0:00Introduction and motivation
  2. 3:59M.Gesture system design
  3. 8:29User study results
  4. 13:33Limitations and future work
  5. 14:38Conclusion and Q&A
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