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Issue No.02 - April-June (2012 vol.11)
pp: 24-29
Bhiksha Raj , Carnegie Mellon University
Kaustubh Kalgaonkar , Georgia Institute of Technology
Chris Harrison , Carnegie Mellon University
Paul Dietz , Microsoft
<p>Several properties differentiate ultrasonic Doppler sensing from other sensing techniques&#x2014;high frame rate, low computational overhead, instantaneous velocity readings, and range independence. Also, because it isn't vision-based, it might open doors to sensing in once taboo locations.</p>
sensors, ultrasonic, Doppler, ubiquitous computing, gestures, recognition, identification, privacy
Bhiksha Raj, Kaustubh Kalgaonkar, Chris Harrison, Paul Dietz, "Ultrasonic Doppler Sensing in HCI", IEEE Pervasive Computing, vol.11, no. 2, pp. 24-29, April-June 2012, doi:10.1109/MPRV.2012.17
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10. K. Kalgaonkar and B. Raj, "Acoustic Doppler Sonar for Gait Recogination," Proc. 2007 IEEE Conf. Advanced Video and Signal Based Surveillance (AVSS 07), IEEE CS Press, 2007, pp. 27–32.
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12. K. Kalgaonkar and B. Raj, "One-Handed Gesture Recognition Using Ultrasonic Doppler Sonar," Proc. 2009 IEEE Int'l Conf. Acoustics, Speech and Signal Processing, (ICASSP 09), IEEE CS Press, 2009, pp. 1889–1892.
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