Browsing Faculty of Engineering and Science by Subject "Activity sensor"
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Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach
(Lecture Notes in Networks and Systems; no. 519, Chapter; Peer reviewed, 2023)The collective effects of sleep loss and sleep disorders are correlated with many adverse health consequences, including increased risk of high blood pressure, obesity, diabetes, depressive state, and cardiovascular symptoms. ...