Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

With the recent advancement in wearable computing, sensor technologies, and data processing approaches, it is possible to develop smart clothing that integrates sensors into garments. The main objective of this study was to develop the method of automatic recognition of sedentary behavior related to...

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Bibliographic Details
Main Author: Eliasz Kańtoch
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
wearable computing
smart clothing
activity recognition
telemedicine
sedentary behavior recognition
pervasive computing
Online Access:http://www.mdpi.com/1424-8220/18/10/3219

Internet

http://www.mdpi.com/1424-8220/18/10/3219

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