AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest

• Published in: PeerJ. Computer science Vol. 11; p. e2695
• Main Authors: Jaén-Vargas, Milagros, Pagán, Josué, Li, Shiyang, Trujillo-Guerrero, María Fernanda, Kazemi, Niloufar, Sansò, Alessio, Codina-Casals, Benito, Abi Zeid Daou, Roy, Serrano Olmedo, Jose Javier
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 14.03.2025; PeerJ Inc
• Subjects: Algorithms and Analysis of Algorithms; Artificial Intelligence; Balance; Blind; Care and treatment; Comparative analysis; Data Mining and Machine Learning; Disabled persons; IMU; Machine learning; Methods; mini-BESTest; Nervous system diseases; Neural Networks; OpenSense RT; Physical therapy; Quaternions; Rehabilitation; Technology application; Therapeutics, Physiological; Spain; IMU; Blind; Quaternions; mini-BESTest; Artificial intelligence; Balance; OpenSense RT

There are 2.2 billion visually impaired individuals and 285 million blind people worldwide. The vestibular system plays a fundamental role in the balance of a person related to sight and hearing, and thus blind people require physical therapy to improve their balance. Several clinical tests have bee...