Capturing and analyzing wheelchair maneuvering patterns with mobile cloud computing

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 2419-2422

  Fu, Jicheng ^a   Hao, Wei ^b   White, Travis ^a   Yan, Yuqing ^a   Jones, Maria ^c   Jan, Yih Kuen ^d  

^a UNIVERSITY OF CENTRAL OKLAHOMA   (United States)

^b NORTHERN KENTUCKY UNIVERSITY   (United States)

^c UNIVERSITY OF OKLAHOMA HEALTH SCIENCES CENTER   (United States)

^d UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANDROID SMART PHONES; CLOUD COMPUTING PLATFORMS; GOOGLE APP ENGINES; GYROSCOPE SENSORS; MOBILE-PHONE USERS; PEOPLE WITH DISABILITIES; POWER WHEELCHAIR; WHEELCHAIR USERS;

DIGITAL STORAGE; MOBILE CLOUD COMPUTING; PLATFORM AS A SERVICE (PAAS); RESEARCH; SMARTPHONES; WHEELCHAIRS;

HANDICAPPED PERSONS;

HUMAN; INFORMATION RETRIEVAL; INTERNET; MOBILE PHONE; MOTION; SIGNAL PROCESSING; WHEELCHAIR;

CELL PHONES; HUMANS; INFORMATION STORAGE AND RETRIEVAL; INTERNET; MOTION; SIGNAL PROCESSING, COMPUTER-ASSISTED; WHEELCHAIRS;

EID: 84886496535     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610027     Document Type: Conference Paper

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