Using Unsupervised Machine Learning to Quantify Physical Activity From Accelerometry in a Diverse and Rapidly Changing Population (2022)
Attributed to:
Sensorimotor Learning for Control of Prosthetic Limbs
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.2139/ssrn.4008919
Publication URI: http://dx.doi.org/10.2139/ssrn.4008919
Type: Journal Article/Review
Parent Publication: SSRN Electronic Journal