Intelligent Visual Acuity Estimation System With Hand Motion Recognition

• Published in: IEEE transactions on cybernetics Vol. 51; no. 12; pp. 6226 - 6239
• Main Authors: Chiu, Chun-Jie, Tien, Yu-Chieh, Feng, Kai-Ten, Tseng, Po-Hsuan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Approximation; Contact; Feature extraction; Hand; Hand motion recognition; Humans; Hygiene; Keyboards; Machine Learning; maximum likelihood; Maximum likelihood estimation; Motion control; Motion perception; Neural networks; neural networks (NNs); Reaction time; Real-time systems; Recognition; Sensors; Test procedures; Vision; Vision Tests; Visual Acuity; visual acuity (VA) estimation; Visual analytics; Visualization

Visual acuity (VA) measurement is utilized to test a subject's acuteness of vision. Conventional VA measurement requires a physician's assistance to ask a subject to speak out or wave a hand in response to the direction of an optotype. To avoid this repetitive testing procedure, different...