메뉴 건너뛰기




Volumn , Issue , 2010, Pages 494-497

Fall detecting and alarming based on mobile phone

Author keywords

Fall detecting; Health care; Machine learning; Pervasive computing

Indexed keywords

DECISION TREE MODELS; ELECTRONIC DEVICE; FALL DETECTING; MACHINE-LEARNING; PERVASIVE COMPUTING; SMART PHONES; TRIAXIAL ACCELEROMETER;

EID: 78651425195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UIC-ATC.2010.44     Document Type: Conference Paper
Times cited : (18)

References (7)
  • 2
    • 29344474528 scopus 로고    scopus 로고
    • Activity recognition from accelerometer data
    • Nishkam Ravi, Nikhil Dandekar, Preetham Mysore, and Michael L. Littman. Activity recognition from accelerometer data. In AAAI, pages 1541-1546, 2005.
    • (2005) AAAI , pp. 1541-1546
    • Ravi, N.1    Dandekar, N.2    Mysore, P.3    Littman, M.L.4
  • 3
    • 72049112876 scopus 로고    scopus 로고
    • Toward physical activity diary: Motion recognition using simple acceleration features with mobile phones
    • Beijing, China, ACM
    • J. Yang. Toward physical activity diary: Motion recognition using simple acceleration features with mobile phones. In Proc. of the 1st international workshop on interactive multimedia for consumer electronics, pages 1-10, Beijing, China, 2009. ACM.
    • (2009) Proc. of the 1st International Workshop on Interactive Multimedia for Consumer Electronics , pp. 1-10
    • Yang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.