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An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering
The aim of this work is to develop a common automatic computer method to distinguish human individuals with abnormal gait patterns from those with normal gait patterns. As long as the silhouette gait images of the subjects are obtainable, the proposed method is capable of providing online anomaly ga...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902142/ https://www.ncbi.nlm.nih.gov/pubmed/33643407 http://dx.doi.org/10.1155/2021/8840156 |