Deep Learning for Classifying Physical Activities from Accelerometer Data

Deep Learning for Classifying Physical Activities from Accelerometer Data

Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening life expectancy. There are minimal medical care and personal trainers’ methods to...

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Bibliographic Details
Main Authors: Vimala Nunavath, Sahand Johansen, Tommy Sandtorv Johannessen, Lei Jiao, Bjørge Herman Hansen, Sveinung Berntsen, Morten Goodwin
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
classification
deep learning
health
machine learning
accelerometer data
sensors
Online Access:https://www.mdpi.com/1424-8220/21/16/5564

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https://www.mdpi.com/1424-8220/21/16/5564

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