Gait identification using stochastic OXRRAM-based time sequence machine learning

R. Degraeve,J. Doevenspeck,A. Fantini,P. Debacker,D. Linten, D. Verkest

2019 Symposium on VLSI Technology（2019）

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摘要

The way a person walks, i.e. his/her gait, can be as unique as a fingerprint. With portable accelerometers and/or gyroscopes available in present-day smartphones, gait verification and identification can be exploited for low-level security [1]. Achieving this requires machine learning of a time sequence.

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关键词

gait identification,stochastic OXRRAM-based time sequence machine learning,portable accelerometers,present-day smartphones,gait verification,gyroscopes,low-level security,time sequence

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