|Title||Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics|
|Publication Type||Journal Article|
|Year of Publication||2012|
|Authors||T Yue, Q Hao, and DJ Brady|
|Journal||Proceedings of the Ieee Sensor Array and Multichannel Signal Processing Workshop|
|Pagination||457 - 460|
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.
|Short Title||Proceedings of the Ieee Sensor Array and Multichannel Signal Processing Workshop|