Online Gait Phase Detection in Complex Environment Based on Distance and Multi-Sensors Information Fusion Using Inertial Measurement Units
Datos Bibliográficos
| ID | 21199378 |
|---|---|
| Autores | Liping Huang (0000-0003-3073-7698, Wuhan University of Technology, autor de correspondencia), Jianbin Zheng (0000-0003-0636-3905, Wuhan University of Technology), Huacheng Hu, HU Hua-cheng (0000-0002-3109-7525, Wuhan University of Technology) |
| Año | 2022 |
| Volumen | 14 |
| Número | 2 |
| Páginas | 413-428 |
| Fecha de publicación | 2022-03-01 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | International Journal of Social Robotics (JOURNAL) |
| Identificadores de la revista | ISSN: 1875-4791 • E-ISSN: 1875-4805 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12369-021-00794-6 |
| OpenAlex | W3166080566 |
| Idioma | EN |
| Referencias citadas | 40 |
Computer vision · Exoskeleton · Gait · Hidden Markov model · Inertial measurement unit · Machine learning · Sensor Fusion · Simulation · Support vector machine · Balance, Gait, and Falls Prevention · Computer Science · Context-Aware Activity Recognition Systems · Gait Recognition and Analysis · Artificial Intelligence
| Altamente citado | No |
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