Walking pattern analysis and SVM classification based on simulated gaits
- 1 August 2008
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Vol. 2008 (1094687X), 5069-5072
- https://doi.org/10.1109/iembs.2008.4650353
Abstract
Three classes of walking patterns, normal, caution and danger, were simulated by tying elastic bands to joints of lower body. In order to distinguish one class from another, four local motions suggested by doctors were investigated stepwise, and differences between levels were evaluated using t-tests. The human adaptability in the tests was also evaluated. We improved average classification accuracy to 84.50% using multiclass support vector machine classifier and concluded that human adaptability is a factor that can cause obvious bias in contiguous data collections.Keywords
This publication has 5 references indexed in Scilit:
- Control of vertical components of gait during initiation of walking in normal adults and patients with progressive supranuclear palsyGait & Posture, 2007
- Aging effects on postural responses to self-imposed balance perturbationsGait & Posture, 2005
- Use of the normalcy index for the evaluation of gait pathologyGait & Posture, 2003
- Leg length discrepancyGait & Posture, 2002
- An index for quantifying deviations from normal gaitGait & Posture, 2000