Fall and emergency detection with mobile phones

ASSETS'09 - Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility

Volumn , Issue , 2009, Pages 241-242

  Ketabdar, Hamed ^a   Polzehl, Tim ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Acceleration sensors; Automatic emergency call; Emergency situations; Fall and accident; Mobile phones; Physical shock

Indexed keywords

ACCELERATION SENSORS; EMERGENCY CALLS; EMERGENCY SITUATION; EMERGENCY SITUATIONS; FALL AND ACCIDENT;

ACCIDENTS; MOBILE DEVICES; MOBILE TELECOMMUNICATION SYSTEMS; SENSORS; TELEPHONE; TELEPHONE SETS;

MOBILE PHONES;

EID: 72249107526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1639642.1639695     Document Type: Conference Paper

References (3)

1. Kern, N., Schiele, B., Schmidt, A. Multi-sensor Activity Context Detection for Wearable Computing, Lecture Notes in Computer Science, Volume 2875/2003, Springer Berlin/Heidelberg, 2003.
2. Mathie, M. J., Coster, A. C. F., Lovell, N. H., and Celler, B. G., Detection of daily physical activities using a triaxial accelerometer, Medical and Biological Engineering and Computing, Vol. 41, No. 3, Springer Berlin / Heidelberg, 2003.
3. McLachlan, G.J. and Basford, K.E. "Mixture Models: Inference and Applications to Clustering", Marcel Dekker (1988).