Towards unsupervised physical activity recognition using smartphone accelerometers

Multimedia Tools and Applications

Volumn 76, Issue 8, 2017, Pages 10701-10719

  Lu, Yonggang ^a   Wei, Ye ^a   Liu, Li ^b,c   Zhong, Jun ^a   Sun, Letian ^a   Liu, Ye ^c  

^a LANZHOU UNIVERSITY   (China)

^b CHONGQING UNIVERSITY   (China)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Accelerometer; Physical activity recognition; Smartphone; Unsupervised method

Indexed keywords

HEALTH; PATTERN RECOGNITION; SIGNAL ENCODING; SMARTPHONES; SPORTS;

ACCELERATION DATA; ACTIVITY RECOGNITION; DAILY LIVING ACTIVITIES; PHYSICAL ACTIVITY; REAL-WORLD DATASETS; SPORTS ACTIVITY; UNSUPERVISED CLASSIFICATION; UNSUPERVISED METHOD;

ACCELEROMETERS;

EID: 84953402975     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-015-3188-y     Document Type: Article

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