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Issue No.02 - March/April (2010 vol.25)
pp: 20-30
Yueh-Min Huang , National Cheng Kung University
Jong Hyuk Park , Seoul National University of Technology
Han-Chieh Chao , National Ilan University
ABSTRACT
<p>Multisensors explore the collaborative analysis of body posture modes to detect accidental-falling incidents and provide relevant data to medical personnel for rescue and treatment.</p>
INDEX TERMS
artificial intelligence, adaptive body posture analysis, multisensors, elderly falling detection
CITATION
Yueh-Min Huang, Jong Hyuk Park, Han-Chieh Chao, "Adaptive Body Posture Analysis for Elderly-Falling Detection with Multisensors", IEEE Intelligent Systems, vol.25, no. 2, pp. 20-30, March/April 2010, doi:10.1109/MIS.2010.39
REFERENCES
1. N. Thome, S. Miguet, and S. Ambellouis, "A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach," IEEE Trans. Circuits and Systems for Video Technology, vol. 18, no. 11, 2008, pp. 1522–1532.
2. H. Foroughi et al., "An Eigenspace-Based Approach for Human Fall Detection Using Integrated Time Motion Image and Neural Network," Proc. 9th Int'l Conf. Signal Processing (ICSP 08), IEEE Press, 2008, pp. 1499–1503.
3. C.-C. Wang et al., "Development of a Fall Detecting System for the Elderly Residents," Proc. 2nd Int'l Conf. Bioinformatics and Biomedical Engineering (ICBBE 08), IEEE Press, 2008, pp. 1359–1362.
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