SPEEDY: A fall detector in a wrist watch

Proceedings - International Symposium on Wearable Computers, ISWC

Volumn , Issue , 2003, Pages 184-189

  Degen, Thomas ^a   Jaeckel, Heinz ^a   Rufer, Michael ^a   Wyss, Stefan ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CALL CENTERS; COMPLEX DATA; ELDERLY PEOPLE; FALL DETECTION; FALL DETECTORS; WIRELESS ALARM SYSTEMS; WIRELESS COMMUNICATION CAPABILITIES;

ALARM SYSTEMS; ALGORITHMS; DATA REDUCTION; WEARABLE COMPUTERS; WIRELESS TELECOMMUNICATION SYSTEMS;

DETECTORS;

EID: 78649474088     PISSN: 15504816     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. A. Belardinelii, G. Palagi, R. Bedini, A. Ripoli, V. Macellari, and D. Franchi. Advanced technology for personal biomedical signal logging and monitoring. Digest of Papers. Fourth International Symposium on Wearable Computes. IEEE Comput. Soc, 2000.
2. E. Jovanoc. T. Martin, and D. Raskovic. Issues in wearable computing for medical monitoring applications: A case study of a wearable ecg monitoring device. Proc. of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3:1295-1298, 1998.
3. E. E. Sabelman, D. Schwandt, and D. L. Jaffe. The wamas (wearable accelerometric motion analysis system: combining technology development and research in human mobility. Conf. Intellectual Property in the VA: Changes, Challenges & Collaborations, Arlington, VA, 2001.
4. Y. Schutz. S. Weinsier, P. Terrier, and D. Durrer. A new accelerometric method to assess the daily walking practice. International Journal of Obesity, 26:111-118. 2002.