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Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics

Publication ,  Journal Article
Yue, T; Hao, Q; Brady, DJ
Published in: Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
October 12, 2012

We present a novel sensing paradigm of measuring human gait. The goal of the research is to achieve low-cost gait biometrics systems with minimum data throughput for various sensing modalities. The binary measurements of the system are achieved by using both (1) periodic and (2) pseudo-random sampling structures. As a result, either static or dynamic gait features can be estimated from a one-bit data stream. The simulation results demonstrate the gait information acquisition capability of the proposed binary sensing technology. © 2012 IEEE.

Duke Scholars

Published In

Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

DOI

EISSN

2151-870X

Publication Date

October 12, 2012

Start / End Page

457 / 460
 

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Yue, T., Hao, Q., & Brady, D. J. (2012). Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 457–460. https://doi.org/10.1109/SAM.2012.6250537
Yue, T., Q. Hao, and D. J. Brady. “Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics.” Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, October 12, 2012, 457–60. https://doi.org/10.1109/SAM.2012.6250537.
Yue T, Hao Q, Brady DJ. Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. 2012 Oct 12;457–60.
Yue, T., et al. “Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics.” Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, Oct. 2012, pp. 457–60. Scopus, doi:10.1109/SAM.2012.6250537.
Yue T, Hao Q, Brady DJ. Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. 2012 Oct 12;457–460.

Published In

Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

DOI

EISSN

2151-870X

Publication Date

October 12, 2012

Start / End Page

457 / 460