TY - JOUR AU - LEZZAR, Fouzi AU - BENMERZOUG, Djamel AU - KITOUNI, Ilham PY - 2020/09/29 Y2 - 2024/03/28 TI - Camera-Based Fall Detection System for the Elderly With Occlusion Recognition JF - Applied Medical Informatics JA - Appl Med Inform VL - 42 IS - 3 SE - Articles DO - UR - https://ami.info.umfcluj.ro/index.php/AMI/article/view/788 SP - 169-179 AB - <p>This paper proposes an algorithm for fall detection using 2D RGB camera. Occlusion, fall, and common daily activities are separated from each other by machine learning algorithms, which were trained on features extracted by a deep learning-based computer vision algorithm. This later is used for person detection. The experimental validation of the proposed approach was conducted on two datasets, one public, and the second created by experiments. For evaluation, several assessment measures are computed. This evaluation shown effectiveness of the proposed solution.</p> ER -