TY - GEN
T1 - Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics
AU - Yue, Tianyao
AU - Hao, Qi
AU - Brady, David J.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84867210048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867210048&partnerID=8YFLogxK
U2 - 10.1109/SAM.2012.6250537
DO - 10.1109/SAM.2012.6250537
M3 - Conference contribution
AN - SCOPUS:84867210048
SN - 9781467310710
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 457
EP - 460
BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
T2 - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Y2 - 17 June 2012 through 20 June 2012
ER -