SoundWave: using the doppler effect to sense gestures

By Sidhant Gupta, Dan Morris, Shwetak N. Patel, Desney S. Tan. International Conference on Human Factors in Computing Systems, 2012

391 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/73254e2eddc19102e42787603b8ab06af650a0d2

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Citations in the corpus

WiGest: A ubiquitous WiFi-based gesture recognition system (2014, background): “Indeed, there is a rising trend in the adoption of gesture recognition systems into various consumer electronics and mobile devices, including smart phones [1], laptops [2], navigation devices [3], and gaming consoles [4].”
3D Gestural Interaction: The State of the Field (2013, background): “In the SoundWave system, a standard speaker and microphone found in most commodity laptops and devices is used to sense user motion [49].”
Device-free gesture tracking using acoustic signals (2016, methodology): “Doppler shift based device-free systems do not have tracking capability and can only recognize predeﬁned gestures because Doppler shift can only provide the coarse-grained measurement of the speed or direction of hand/ﬁnger movements due to the limited frequency measurement precision [9,11,12].”
Towards Environment Independent Device Free Human Activity Recognition (2018, background): “In some recent work [6, 15, 31, 33], the authors propose to recognize human gestures and activities through analyzing frequency shift over a period of time.”
Interacting with Soli: Exploring Fine-Grained Dynamic Gesture Recognition in the Radio-Frequency Spectrum (2016, methodology): “Furthermore, the Doppler shift can be exploited for audio-based sensing [11].”
Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network (2016, background): “However, it requires continuous transmission of audible waves, which is reported to be annoying [5].”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, neutral): “[537] S.”
Whole-home gesture recognition using wireless signals (2013, background): “Likewise, ultra-sonic systems leverage Doppler shifts on sound waves to perform gesture recognition [11].”