3,890 research outputs found
Human Gait Database for Normal Walk Collected by Smart Phone Accelerometer
The goal of this study is to introduce a comprehensive gait database of 93
human subjects who walked between two endpoints during two different sessions
and record their gait data using two smartphones, one was attached to the right
thigh and another one on the left side of the waist. This data is collected
with the intention to be utilized by a deep learning-based method which
requires enough time points. The metadata including age, gender, smoking, daily
exercise time, height, and weight of an individual is recorded. this data set
is publicly available
Mobiles and wearables: owner biometrics and authentication
We discuss the design and development of HCI models for authentication based on gait and gesture that can be supported by mobile and wearable equipment. The paper proposes to use such biometric behavioral traits for partially transparent and continuous authentication by means of behavioral patterns. © 2016 Copyright held by the owner/author(s)
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