A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis

Ryan McGinnis; Nikhil Mahadevan; Yaejin Moon; Kirsten Seagers; Nirav Sheth; John Wright; Jacob J. Sosnoff; Roozbeh Ghaffari; Shyamal Patel

A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis

Ryan McGinnis, Nikhil Mahadevan, Yaejin Moon, Kirsten Seagers, Nirav Sheth, John Wright, Jacob J. Sosnoff, Roozbeh Ghaffari, Shyamal Patel

Department of Exercise Science

Research output: Contribution to journal › Article › peer-review

74 Scopus citations

Original language	English (US)
Journal	PLoS One
State	Published - Jun 1 2017

Cite this

@article{37d5e8cd47dc49b49b9098e4500730e7,

title = "A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis",

author = "Ryan McGinnis and Nikhil Mahadevan and Yaejin Moon and Kirsten Seagers and Nirav Sheth and John Wright and Sosnoff, {Jacob J.} and Roozbeh Ghaffari and Shyamal Patel",

year = "2017",

month = jun,

day = "1",

language = "English (US)",

journal = "PLoS One",

issn = "1932-6203",

publisher = "Public Library of Science",

}

TY - JOUR

T1 - A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis

AU - McGinnis, Ryan

AU - Mahadevan, Nikhil

AU - Moon, Yaejin

AU - Seagers, Kirsten

AU - Sheth, Nirav

AU - Wright, John

AU - Sosnoff, Jacob J.

AU - Ghaffari, Roozbeh

AU - Patel, Shyamal

PY - 2017/6/1

Y1 - 2017/6/1

M3 - Article

C2 - 28570570

SN - 1932-6203

JO - PLoS One

JF - PLoS One

ER -