- Title
- A dynamic motion pattern analysis approach to fall detection
- Creator
- Luo, Suhuai; Hu, Qingmao
- Relation
- 2004 IEEE International Workshop on Biomedical Circuits and Systems. Proceedings of the 2004 IEEE International Workshop on Biomedical Circuits and Systems (Singapore 1-3 December, 2004)
- Publisher Link
- http://dx.doi.org/10.1109/BIOCAS.2004.1454088
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2004
- Description
- In this paper we present our work on human body movement analysis, especially on fall detection. We have developed a reliable dynamic motion pattern analysis algorithm to detect fall situation. The algorithm works on the digital signal output from waist-mounted accelerometry. It first fiters noisy components with a Gaussian frlter; secondly sets up a 3D body motion model which relates various body postures to the outputs of accelerometry; finally a dynamic detection process is applied to make decision. Experiments were done on 40 cases mimicking various body movemenb. Our approach gave right judgements in all cases. Our work is an important part of elder care and rehabilitation.
- Subject
- accelerometers; biomechanics; filters; geriatrics; medical signal detection; medical signal processing; patient care; patient rehabilitation
- Identifier
- http://hdl.handle.net/1959.13/939258
- Identifier
- uon:12762
- Identifier
- ISBN:0780386655
- Rights
- Copyright © 2004 IEEE. Reprinted from Proceedings of the 2004 IEEE International Workshop on Biomedical Circuits and Systems. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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