Hand, belt, pocket or bag: Practical activity tracking with mobile phones

Journal of Neuroscience Methods

Volumn 231, Issue , 2014, Pages 22-30

  Antos, Stephen A ^a,b   Albert, Mark V ^b,c   Kording, Konrad P ^b,c,d  

^a Northwestern University   (United States)

^b REHABILITATION INSTITUTE OF CHICAGO   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Accelerometer; Activity recognition; Classification; Context awareness; Parkinson's disease; Smartphone

Indexed keywords

ACCELEROMETER; ACCURACY; ACTIVITY TRACKING DEVICE; ADULT; ARTICLE; CLINICAL ARTICLE; GENERAL DEVICE; HIDDEN MARKOV MODEL; HUMAN; MOBILE PHONE; PARKINSON DISEASE; PHYSICAL ACTIVITY; PRIORITY JOURNAL; SITTING; STANDING; SUPPORT VECTOR MACHINE; WALKING; ACTIMETRY; ALGORITHM; AMBULATORY MONITORING; BODY POSTURE; CLOTHING; DEVICES; MOTOR ACTIVITY; PATHOPHYSIOLOGY; PILOT STUDY; PROBABILITY; PROCEDURES; STATISTICAL MODEL; VALIDATION STUDY;

ACTIGRAPHY; ADULT; ALGORITHMS; CELL PHONES; CLOTHING; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONITORING, AMBULATORY; MOTOR ACTIVITY; PARKINSON DISEASE; PILOT PROJECTS; POSTURE; SUPPORT VECTOR MACHINES; WALKING;

EID: 84902126674     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.09.015     Document Type: Article

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