ABSTRACT
Gesture is becoming an increasingly popular means of interacting
with computers. However, it is still relatively costly
to deploy robust gesture recognition sensors in existing
mobile platforms. We present SoundWave, a technique that
leverages the speaker and microphone already embedded in
most commodity devices to sense in-air gestures around the
device. To do this, we generate an inaudible tone, which
gets frequency-shifted when it reflects off moving objects
like the hand. We measure this shift with the microphone to
infer various gestures. In this note, we describe the phenomena
and detection algorithm, demonstrate a variety of
gestures, and present an informal evaluation on the robustness
of this approach across different devices and people
ABSTRACTGesture is becoming an increasingly popular means of interactingwith computers. However, it is still relatively costlyto deploy robust gesture recognition sensors in existingmobile platforms. We present SoundWave, a technique thatleverages the speaker and microphone already embedded inmost commodity devices to sense in-air gestures around thedevice. To do this, we generate an inaudible tone, whichgets frequency-shifted when it reflects off moving objectslike the hand. We measure this shift with the microphone toinfer various gestures. In this note, we describe the phenomenaand detection algorithm, demonstrate a variety ofgestures, and present an informal evaluation on the robustnessof this approach across different devices and people
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