Recognizing human activity in free-living using multiple body-worn accelerometers

Recognizing human activity in free-living using multiple body-worn accelerometers

© 2001-2012 IEEE. Recognizing human activity is very useful for an investigator about a patient's behavior and can aid in prescribing activity in future recommendations. The use of body worn accelerometers has been demonstrated to be an accurate measure of human activity; however, research look...

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Bibliographic Details
Main Authors: Elliott Fullerton, Ben Heller, Mario Munoz-Organero
Format: Default Article
Published: 2017
Subjects:
Mechanical engineering not elsewhere classified
Other health sciences not elsewhere classified
Human activity recognition
Machine learning
Body-worn accelerometers
Mechanical Engineering
Medical and Health Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/27767
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https://hdl.handle.net/2134/27767

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