Chaaraoui et al., 2015 - Google Patents
Abnormal gait detection with RGB-D devices using joint motion history featuresChaaraoui et al., 2015
View PDF- Document ID
- 6703827361054971191
- Author
- Chaaraoui A
- Padilla-López J
- Flórez-Revuelta F
- Publication year
- Publication venue
- 2015 11th IEEE international conference and workshops on automatic face and gesture recognition (FG)
External Links
Snippet
Human gait has become of special interest to health professionals and researchers in recent years, not only due to its relation to a person's quality of life and personal autonomy, but also due to the involved cognitive process, since deviation from normal gait patterns can also be …
- 238000001514 detection method 0 title abstract description 22
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
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