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| ChunMei Lu, Nicola J. Ferrier, "Repetitive Motion Analysis: Segmentation and Event Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 258-263, February, 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/TPAMI.2004.1262196, author = {ChunMei Lu and Nicola J. Ferrier}, title = {Repetitive Motion Analysis: Segmentation and Event Classification}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {26}, number = {2}, issn = {0162-8828}, year = {2004}, pages = {258-263}, doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2004.1262196}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Repetitive Motion Analysis: Segmentation and Event Classification IS - 2 SN - 0162-8828 SP258 EP263 EPD - 258-263 A1 - ChunMei Lu, A1 - Nicola J. Ferrier, PY - 2004 KW - Motion analysis KW - motion classification KW - event detection. VL - 26 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—Acquisition, analysis, and classification of repetitive human motion for the assessment of postural stress is of central importance to ergonomics practitioners. We present a two-threshold, multidimensional segmentation algorithm to automatically decompose a complex motion into a sequence of simple linear dynamic models. No a priori assumptions were made about the number of models that comprise the full motion or about the duration of the task cycle. A compact motion representation is obtained for each segment using parameters of a damped harmonic dynamic model. Event classification was performed using cluster analysis with the model parameters as input. Experiments demonstrate the technique on complex motion.
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