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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Yue, T; Hao, Q; Brady, DJ

Published Date

  • October 12, 2012

Published In

Start / End Page

  • 457 - 460

Electronic International Standard Serial Number (EISSN)

  • 2151-870X

Digital Object Identifier (DOI)

  • 10.1109/SAM.2012.6250537

Citation Source

  • Scopus