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Volumn FS-12-01, Issue , 2012, Pages 26-31

How is grandma doing? Predicting functional health status from binary ambient sensor data

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY MONITORING SYSTEM; CROSS VALIDATION; FEATURE EXTRACTION AND SELECTION; GAUSSIAN PROCESSES; HEALTH ASSESSMENTS; HEALTH MONITORING; LARGE AMOUNTS OF DATA; LINEAR REGRESSION MODELS;

EID: 84875635855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (17)
  • 3
    • 65749083852 scopus 로고    scopus 로고
    • Assessing the quality of activities in a smart environment
    • Cook, D., and Schmitter-Edgecombe, M. 2009. Assessing the quality of activities in a smart environment. Methods of information in medicine 48(5):480-485.
    • (2009) Methods of Information in Medicine , vol.48 , Issue.5 , pp. 480-485
    • Cook, D.1    Schmitter-Edgecombe, M.2
  • 6
    • 33644523721 scopus 로고    scopus 로고
    • The impact of behavioral monitoring technology on the provision of health care in the home
    • Glascock, A., and Kutzik, D. 2006. The impact of behavioral monitoring technology on the provision of health care in the home. Journal of Universal Computer Science 12(1):59-79. (Pubitemid 43296767)
    • (2006) Journal of Universal Computer Science , vol.12 , Issue.1 , pp. 59-79
    • Glascock, A.P.1    Kutzik, D.M.2
  • 10
    • 21244464017 scopus 로고    scopus 로고
    • Intelligent technology for an aging population: The use of ai to assist elders with cognitive impairment
    • Pollack, M. 2005. Intelligent technology for an aging population: The use of ai to assist elders with cognitive impairment. AI magazine 26(2):9.
    • (2005) AI Magazine , vol.26 , Issue.2 , pp. 9
    • Pollack, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.