An Activity Recognition Framework Deploying the Random Forest Classifier and A Single Optical Heart Rate Monitoring and Triaxial AccelerometerWrist-Band

Wrist-worn sensors have better compliance for activity monitoring compared to hip, waist, ankle or chest positions. However, wrist-worn activity monitoring is challenging due to the wide degree of freedom for the hand movements, as well as similarity of hand movements in different activities such as...

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Detalhes bibliográficos

Principais autores:	Saeed Mehrang, Julia Pietilä, Ilkka Korhonen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2018-02-01
coleção:	Sensors
Assuntos:	accelerometer activity recognition context awareness machine learning photoplethysmography randomforest wrist-worn sensors
Acesso em linha:	http://www.mdpi.com/1424-8220/18/2/613
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