A preliminary study of using wireless kinematic sensors to identify basic Activities of Daily Living
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[1] Heikki Ailisto,et al. Identifying users of portable devices from gait pattern with accelerometers , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[2] A. Bourke,et al. Distinguishing falls from normal ADL using vertical velocity profiles , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[3] Johannes Peltola,et al. Activity classification using realistic data from wearable sensors , 2006, IEEE Transactions on Information Technology in Biomedicine.
[4] G M Lyons,et al. Comparison of the performance of the activPAL Professional physical activity logger to a discrete accelerometer-based activity monitor. , 2007, Medical engineering & physics.
[5] Michael L. Littman,et al. Activity Recognition from Accelerometer Data , 2005, AAAI.
[6] P Shekelle,et al. Differences between Patients' and Physicians' Evaluations of Outcome after Total Hip Arthroplasty* , 1996, The Journal of bone and joint surgery. American volume.
[7] Daniel P. Siewiorek,et al. Activity recognition and monitoring using multiple sensors on different body positions , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).
[8] J. B. J. Bussmann,et al. Measuring daily behavior using ambulatory accelerometry: The Activity Monitor , 2001, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[9] K. Kukkonen-Harjula,et al. A randomized intervention of physical activity promotion and patient self-monitoring in primary health care. , 2006, Preventive medicine.
[10] Pauline Reeves. Chronic disease and independence in old age: A case study , 2006 .
[11] Yu Wang,et al. Wearable Sensors and Telerehabilitation Integrating Intelligent Telerehabilitation Assistants with a Model for Optimizing Home Therapy , 2003 .
[12] Bernt Schiele,et al. Analyzing features for activity recognition , 2005, sOc-EUSAI '05.
[13] T. Tamura,et al. Classification of walking pattern using acceleration waveform in elderly people , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).
[14] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[15] S. Katz,et al. STUDIES OF ILLNESS IN THE AGED. THE INDEX OF ADL: A STANDARDIZED MEASURE OF BIOLOGICAL AND PSYCHOSOCIAL FUNCTION. , 1963, JAMA.
[16] Kamiar Aminian,et al. Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly , 2003, IEEE Transactions on Biomedical Engineering.
[17] J. D. Janssen,et al. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.
[18] Ian Witten,et al. Data Mining , 2000 .
[19] N. Noury,et al. Preliminary Results on the Study of Smart Wearable Antennas , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[20] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[21] M. Mathie,et al. A pilot study of long-term monitoring of human movements in the home using accelerometry , 2004, Journal of telemedicine and telecare.