The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
SoundWave: using the doppler effect to sense gestures
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.
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Cites
The magic carpet: physical sensing for immersive environments
Paradiso, J., Abler, C., Hsiao, K.-Y., & Reynolds, M. (1997) · CHI '97 extended abstracts on Human factors in computing systems looking to the future - CHI '97 · doi:10.1145/1120212.1120391 · Cited by 184
One-handed gesture recognition using ultrasonic Doppler sonar
Kalgaonkar, K., & Raj, B. (2009) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2009.4959977 · Cited by 109
Sonar-based measurement of user presence and attention
Tarzia, S. P., Dick, R. P., Dinda, P. A., et al. (2009) · ACM International Conference on Ubiquitous Computing (UbiComp) · doi:10.1145/1620545.1620559 · Cited by 81
Cited by
Digital twin: values, challenges and enablers from a modeling perspective
Rasheed, A., San, O., & Kvamsdal, T. (2020) · IEEE Access · doi:10.1109/access.2020.2970143 · Cited by 1,952
Towards Environment Independent Device Free Human Activity Recognition
Jiang, W., Miao, C., Ma, F., Yao, S., Wang, Y., Yuan, Y., Xue, H., Song, C., Ma, X., Koutsonikolas, D., et al. (2018) · Proceedings of the 24th Annual International Conference on Mobile Computing and Networking · doi:10.1145/3241539.3241548 · Cited by 573
Sensing Fine-Grained Hand Activity with Smartwatches
Laput, G., & Harrison, C. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300568 · Cited by 147
Digital Twin: Values, Challenges and Enablers
Rasheed, A., San, O., & Kvamsdal, T. (2019) · arXiv · doi:10.48550/arxiv.1910.01719 · Cited by 81
Metadata
- Authors
- Gupta, S., Morris, D., Patel, S., & Tan, D.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2012-05-05
- Pages
- 1911-1914
- OpenAlex
- W2153200718
- Cited by
- 353
- References
- 3
- FWCI
- 12.59
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Gupta, S., Morris, D., Patel, S., & Tan, D. (2012). SoundWave: using the doppler effect to sense gestures. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2207676.2208331
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