Dépôt institutionnel de l'universite Freres Mentouri Constantine 1
Human Action Recognition and Posture Prediction: A Survey
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| dc.contributor.author | Belatreche, Nadjla | |
| dc.date.accessioned | 2025-03-17T09:37:42Z | |
| dc.date.available | 2025-03-17T09:37:42Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14523 | |
| dc.description.abstract | Human Action Recognition (HAR) and posture prediction are essential fields within artificial intelligence and computer vision, finding applications in healthcare, surveillance, sports, injury prevention, and smart home systems. This paper provides a comprehensive review of methodologies in HAR and posture prediction, clearly defining each concept and its role within A | fr_FR |
| dc.title | Human Action Recognition and Posture Prediction: A Survey | fr_FR |
| dc.type | Article | fr_FR |
