Application of Deep Learning in Human-computer Interaction Design of Rehabilitation Equipment
Huanhuan Wang, Jingwei Gu · 2019
Rehabilitation equipment design, which combines rehabilitation medicine, structural mechanics, biomechanics, computer science and ergonomics, has become a promising research direction in recent years. Rehabilitation equipment belongs to medical devices, and its main function is to assist patients in rehabilitation training. While deep learning technology can be used in data analysis, feature extraction, human-computer interaction and many other fields. As rehabilitation equipment has strong characteristics in human-computer interaction(HCI), this paper will focus on the HCI design of rehabilitation equipment and expounds the practical significance of deep learning technology in its design process.