Classifying smartphone-based accelerometer data to obtain validated measures of subject activity status, step count, and gait speed
Yong Jun Kwon, Thawda Aung, Sarah M Synovec, Anthony D Oberle, Cassia Rye Hanton, Jackie Whittington, Evan H Goulding, Bradley C Witbrodt, Stephen J Bonasera, A Katrin Schenk
The paper develops and validates algorithms using smartphone accelerometers to classify activity states, count steps, and measure gait speed with high accuracy.
bioRxiv · Jul 6, 2017 · PreprintBioengineering