NDLI: Feature extraction using an AM-FM model for gait pattern classification

Content Provider	IEEE Xplore Digital Library
Author	Ning Wang Ambikairajah, E. Celler, B.G. Lovell, N.H.
Copyright Year	2008
Description	Author affiliation: Grad. Sch. of Biomed. Eng., Univ. of New South Wales, Sydney, NSW (Lovell, N.H.) \|\| Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW (Ning Wang; Ambikairajah, E.; Celler, B.G.)
Abstract	This paper describes classification of gait patterns from a waist-mounted triaxial accelerometer. A feature extraction technique using empirical mode decomposition (EMD) and an amplitude/frequency modulation (AM-FM) model is proposed for the classification of walking activities from accelerometry data. A set of novel features, including AM, instantaneous frequency (IF) and instantaneous amplitude (IA), representing the walking patterns were obtained based on a second-order all-pole resonator. The back-end of the system was a 32-mixture Gaussian Mixture Model (GMM) classifier. An overall classification error rate of 4.88% was achieved for the five different human gait patterns referring to walking on flat levels, walking up and down paved ramps and walking up and down stairways.
Starting Page	25
Ending Page	28
File Size	376936
Page Count	4
File Format	PDF
ISBN	9781424428786
DOI	10.1109/BIOCAS.2008.4696865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Accelerometers AM-FM model Frequency modulation Error analysis empirical mode decomposition Humans gait pattern classification Pattern classification Feature extraction Australia Signal analysis Accelerometry Biomedical engineering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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