首页> Medical & biological engineering & computing> A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.

A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.

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第一作者： Omar,Aziz

第一单位： Injury Prevention and Mobility Laboratory, Simon Fraser University, Burnaby, BC, Canada. oaziz@sfu.ca.;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada. oaziz@sfu.ca.;School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada. oaziz@sfu.ca.

作者： Omar,Aziz ^[1] ; Magnus,Musngi ^[2] ; Edward J,Park ^[2] ; Greg,Mori ^[3] ; Stephen N,Robinovitch ^[4]

作者单位： Injury Prevention and Mobility Laboratory, Simon Fraser University, Burnaby, BC, Canada. oaziz@sfu.ca.;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada. oaziz@sfu.ca.;School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada. oaziz@sfu.ca. ^[1] School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada. ^[2] School of Computing Science, Simon Fraser University, Burnaby, BC, Canada. ^[3] Injury Prevention and Mobility Laboratory, Simon Fraser University, Burnaby, BC, Canada.;Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada. ^[4]

关键词 Falls Machine learning Older adults Threshold-based algorithms Wearable sensors