Design and testing of lightweight inexpensive motion-capture devices with application to clinical gait analysis

2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009

Volumn , Issue , 2009, Pages

  Wade, Eric ^a   Matarić, Maja J ^b  

^a University Southern California ^*  (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; ASSISTIVE ROBOTICS; COMPUTER INTERFACES; EXPERIMENTAL DATA; FURTHER DEVELOPMENT; GAIT REHABILITATION; HARDWARE AND SOFTWARE; HOME CARE; MOTION CAPTURE; MOTION CAPTURE SYSTEM; MOTION DATA; MOTOR TASKS; OPEN-SOURCE; PLAYER/STAGE; REHABILITATION ROBOTICS; REHABILITATION TRAINING; SENSING DEVICES; SOFTWARE DEVELOPMENT ENVIRONMENT; STRIDE LENGTH; WALKING SPEED;

ALGORITHMS; HEALTH CARE; INTERFACES (COMPUTER); MOTORS; ROBOTICS; SENSORS; SOFTWARE AGENTS; SOFTWARE DESIGN;

PATIENT REHABILITATION;

EID: 70350780691     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6026     Document Type: Conference Paper

References (13)

1. E. Alpaydin. Introduction to Machine Learning. MIT Press, Cambridge, MA, 2004.
2. S. Carlsson. Combinatorial geometry for shape representation and indexing. Object Representation in Computer Vision, pages 53-78, 1996.
3. R. B. Davis. Clinical gait analysis . IEEE Engineering in Medicine and Biology Magazine, pages 35-40, September 1998.
4. J. Eriksson , M. J. Mataric , and C. Winstein. Hands-off assistive robotics for post-stroke arm rehabilitation. In Proc. IEEE International Conference on Rehabilitation Robotics (ICORR '05), pages 21-24, Chicago, II, USA, June 2005.
5. D. J. Feil-Seifer and M. J. Matarić. Defining socially assistive robotics. In International Conf erence on Rehabilitation Robotics, pages 465-468, Chicago, IL, Jun 2005.
6. B. Gerkey, R. Vaughan, and A. Howard. The player/stage project: Tools for multi-robot distributed sensor systems. In Proceedings of the International Conference on Advanced Robotics, pages 317-323, Coimbra, Portugal, Jul 2003,
7. L. Kovar and M. Gleicher. Automated extraction and parameterization of motions in large data sets. ACM Transactions on Graphics, 23(3):559-568.
8. N. Miller, O. C. Jenkins , M. Kallmann , E. Drumwright, and M. J. Matarić. Motion capture from inertial sensing for untethered humanoid teleoperation. In Proc. of the IEEE-RAS International Conference on Humanoids Robotics (Humanoids '04), Santa Monica, CA, USA, Nov. 2004.
9. M. Mullüer, T. Röder, and M, Clausen. Efficient Content-Based Retrieval of Motion Capture Data. ACM Trans. on Graph., 24:677-685, 2005.
10. E. Post, M. Reynolds, M. Gray, J. Paradiso, and N. Gershenfeld. Intrabody buses for data and power. IEEE Symposium on Wearable Computers, pages 52-55, October 1997.
11. R. B. Rusu, A. Maldonado, M. Beetz, and B. Gerkey. Extending player/stage/gazebo towards cognitive robots acting in ubiquitous sensor-equipped environments. Proc. of the ICRA Workshop on Network Robot Systems, April 2007.
12. A. Sabatini , M. Chiara, S. Scapellato, and F. Cavallo. Assessment of walking features from foot inertial sensing. IEEE Transactions on Biomedical Engineering, 52(3):486-494, March 2005.
13. A. Salarian, H. Russmann, F.J. G. Vingerhoets, C. Dehollain, Y. Blanc, P. Burkhard, and K. Aminian. Gait assessment in parkinson's disease: Toward an ambulatory system for long-term monitoring. IEEE Trans. on Biomedical Engineering, 51(8):1434-1443, August 2004.