Dynamic activity classification based on automatic adaptation of postural orientation

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 6175-6178

  Song, Sa Kwang ^a   Jang, Jaewon ^a   Park, Soo Jun ^a  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING; INDUSTRIAL ENGINEERING;

ACTIVITY CLASSIFICATIONS; ACTIVITY DETECTION; ATTACHED SENSOR; AUTOMATIC ADAPTATION; SENSOR MODULES; SITTING DOWN; STANDING-UP; TRIAXIAL ACCELEROMETER;

WALKING AIDS;

EID: 77950968433     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5334503     Document Type: Conference Paper

References (7)

1. A.K. Bourke, et al, 2007. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm, Gait & Posture 26 , pp. 194-199
2. D. M. Karantonis, et al, 2006. Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambularoty Monitoring, IEEE Trans. on Information Technology in Biomedicine, Vol.10, No.1.
3. Hunder, J. S., The exponentially weighted moving average, Journal of Quality Technology, Vol.18, no.4, pp.203-210. 1986
4. \M. Kangas, et al, 2008. Comparison of low-complexity fall detection algorithms for body attached accelerometers, Gait & Posture 28, pp. 285-291.
5. M. N. Nyan, et al, 2006, Garment-based detection of falls and activities of daily living using 3-axis MEMS accelerometer, Journal of Physics, Institute of Physics Publishing, Conference Series 34, pp. 1059-1067.
6. Sa-kwang, Song, et al, 2008, An Efficient Method for Activity Recognition of the Elderly Using Tilt Signals of Tri-axial Acceleration Sensor, LNCS 5120, pp.99-104.
7. Sa-kwang. Song, et al, "A Phone for Human Activity Recognition Using Triaxial Acceleration Sensor," IEEE Consumer Electronics, 2007.