Feb. 27, 2024, 5:47 a.m. | Arnav Mishra, Aditi Shetkar, Ganesh M. Bapat, Rajdeep Ojha, Tanmay Tulsidas Verlekar

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.16175v1 Announce Type: new
Abstract: Recent technological advancements in artificial intelligence and computer vision have enabled gait analysis on portable devices such as cell phones. However, most state-of-the-art vision-based systems still impose numerous constraints for capturing a patient's video, such as using a static camera and maintaining a specific distance from it. While these constraints are manageable under professional observation, they pose challenges in home settings. Another issue with most vision-based systems is their output, typically a classification label and …

abstract analysis art artificial artificial intelligence arxiv cameras computer computer vision constraints cs.cv devices intelligence patient patients phones state systems type video vision walking xai

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