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Deep Learning Approach To Recognize Physical Activity Type From Wrist-worn Tri-axial Accelerometer
Author(s) -
Mamoun Mardini,
Subhash Nerella,
Duane B. Corbett,
Amal A. Wanigatunga,
Todd M. Manini
Publication year - 2020
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.703
H-Index - 224
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/01.mss.0000675236.99154.47
Subject(s) - accelerometer , deep learning , wrist , artificial intelligence , energy expenditure , computer science , activity recognition , cardiorespiratory fitness , machine learning , convolutional neural network , metabolic equivalent , physical activity , smartwatch , physical medicine and rehabilitation , physical therapy , medicine , wearable computer , embedded system , endocrinology , operating system , radiology

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