1Sequeira M M, Rickenbach M, Wietlisbach V, Tullen B, Schutz Y. Physical Activity Assessment Using a Pedometer and Its Comparison with a Questionnaire in a Large Population Survey[J]. Am J Epidemiol 1995,142(9), 989-999.
2Murray M P, Drought A B, Kory R C. Walking Patterns of Normal Men[J]. J. Bone and Joint Surgery, 1964, 46-a(2), 335-360.
3DeVaul R W, Dunn S. Real-Time Motion Classification for Wearable Computing Applications [R]. Technical report, MIT Media Laboratory, 2001.
4Freescale Devices[EB/OL]. MMA7260Q Data Sheet. http:// vcww. freescale.com/webapp/sps/prod-summary. jsp? code =MMA7260Q&srch=1, Last visit:03. 02. 2006.
5Moe-Nilssen R, Helbostad J L. Estimation of Gait Cycle Characteristics of Trunk Accelerometry[J]. Journal of Biomechanics 2004 ;37, 121-126.
6Ailisto H,Lindholm M,Mantyjarvi J,et al. Identifying users of portable devices from gait pattern with accelerometers [ A ]. IEEE International Conference on Acoustics, Speech, and Signal Processing[ C ]. Philadelphia: IEEE Signal Processing Society, 2005.Ⅱ. 973 - 976.
7Gafurov Davrondzhon, Helkala Kirsi, Sondrol Torkjel. Gait recognition using acceleration from MEMS[ A]. Proceedings of the 1^st Intemational Conference on Availability, Reliability and Security[ C]. Vienna: Imtitute of Electrical and Electronics Engineers Computer Society,2006.432 - 437.
8Mathie M J,CeUer B G,Lovell Nigel H,et al. Classification of basic daily movements using a lriaxial accelerometer[ J] .Medical and Biological Engineering and Computing, 2004, 42 ( 5 ) : 679 - 687.
9D M Karantonis,M R Narayanan, M Mathie, et al. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring[ J]. IEEE Transactions on Information Technology in Biomedicine, 2006, 10( 1 ) : 156 - 167.
10N Ravi,N Dandekar,P Mysore, et al.Activity recognition from accelerometer data[ A ]. Proceedings of the 20^th National Conference on Artificial Intelligence[ C ]. Pittsburgh: American Association for Artificial Intelligence,2005. V3. 1541 - 1546.