Feb. 12, 2024, 5:42 a.m. | Mario Mart\'inez-Zarzuela David Gonz\'alez-Ortega M\'iriam Ant\'on-Rodr\'iguez Francisco Javier D\'iaz-Pernas Henning

cs.LG updates on arXiv.org arxiv.org

The use of a wide range of computer vision solutions, and more recently high-end Inertial Measurement Units (IMU) have become increasingly popular for assessing human physical activity in clinical and research settings. Nevertheless, to increase the feasibility of patient tracking in out-of-the-lab settings, it is necessary to use a reduced number of devices for movement acquisition. Promising solutions in this context are IMU-based wearables and single camera systems. Additionally, the development of machine learning systems able to recognize and digest …

architectures become clinical computer computer vision cs.cv cs.lg deep learning eess.sp human lab measurement patient popular recognition research solutions study tracking units video vision wearables

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