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Adding directional context to gestures using doppler effect

Published: 13 September 2014 Publication History

Abstract

Human beings often give non-verbal instructions through motions of the hand and arm, such as pointing or waving. These motions convey not just actions, but the direction or target of those actions. In this paper, we integrate direction into gesture definitions by detecting frequency shifts created by relative motion between a receiver and transmitter and combining this with inertial motion data captured by a smartphone. With the combined data we are able separate similar gestures with 71.7% accuracy in a typical home use environment.

References

[1]
Aumi, M. T. I., Gupta, S., Goel, M., Larson, E., and Patel, S. Doplink: Using the doppler effect for multi-device interaction. In Proc. Ubicomp, ACM Press (2013), 583--586.
[2]
Sigalas, M., Baltzakis, H., and Trahanias, P. Gesture recognition based on arm tracking for human-robot interaction. In Proc. IROS (2010), 5424--5429.
[3]
Sun, Z., Purohit, A., Bose, R., and Zhang, P. Spartacus: spatially-aware interaction for mobile devices through energy-efficient audio sensing. In Proc. MobiSys (2013), 263--276.
[4]
Zigelbaum, J., Browning, A., Leithinger, D., Bau, O., and Ishii, H. G-stalt: A chirocentric, spatiotemporal, and telekinetic gestural interface. In Proc. TEI, ACM Press (2010), 261--264.

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      cover image ACM Conferences
      UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
      September 2014
      1409 pages
      ISBN:9781450330473
      DOI:10.1145/2638728
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 13 September 2014

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      Author Tags

      1. gestures
      2. sensor fusion
      3. ultrasound

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      UbiComp '14
      UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
      September 13 - 17, 2014
      Washington, Seattle

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      Overall Acceptance Rate 764 of 2,912 submissions, 26%

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