Online detection of freezing of gait with smartphones and machine learning techniques

2012 6th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2012

Volumn , Issue , 2012, Pages 123-130

  Mazilu, Sinziana ^a   Hardegger, Michael ^a   Zhu, Zack ^a   Roggen, Daniel ^a   Tröster, Gerhard ^a   Plotnik, Meir ^b   Hausdorff, Jeffrey M ^b  

^a ETH ZURICH   (Switzerland)

^b TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; AVERAGE SENSITIVITIES; DAILY LIFE ACTIVITIES; DAILY LIVES; DETECTION LATENCY; FOG EVENTS; MACHINE LEARNING TECHNIQUES; ON-LINE DETECTION; ON-MACHINES; PARKINSON'S DISEASE; QUALITY OF LIFE; SENSOR PLACEMENT; USER-DEPENDENT; VIBROTACTILE FEEDBACK; WEARABLE ASSISTANT; WINDOW SIZE;

FREEZING; HEALTH CARE; LEARNING SYSTEMS; SMARTPHONES; UBIQUITOUS COMPUTING;

LEARNING ALGORITHMS;

EID: 84865011944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2012.248680     Document Type: Conference Paper

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