Telepresence for Physiotherapy

远程呈现物理治疗

• 批准号: 544550-2019
• 负责人: England, Andrea
• 金额: $ 1.82万
• 依托单位: Sheridan Institute of Technology and Advanced Learning
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=681207
• 关键词: Telepresence; Physiotherapy

Telepresence for physiotherapy is an area of significant recent growth within healthcare for mobile computing. Applications typically use depth cameras to estimate the body pose of the user, so machine intelligence can assess and provide medically relevant feedback to achieve medical outcomes. Sheridan College and Lusens - a Canadian leader in interactive, touch, and gesture recognition software for commercial, retail and medical applications - seek to conduct collaborative applied research and development (R&D) focused on improving their existing GoPhysio product. GoPhysio uses proprietary technology to analyze and measure musculoskeletal positions and movements to provide remote assistance for physical therapy, rehabilitation and fitness. The proposed research will focus on development of innovative solutions for body pose estimation and scoring for both depth and RGB cameras via Machine Learning. The application of body pose estimation as a means for software to assess, critique and score patient movements and gestures in software requires specialized camera-to-skeleton calculations, algorithms for analyzing motion, and Artificial Intelligence to analyze the movements for predictive purposes. Lusens aims to apply the research results in the development of their industry-leading body pose estimation software and Sheridan Computer Science students engaged in the proposed project will benefit from experiential learning and practice of relevant skills applied to real-world innovation challenges.

物理疗法的远程态度是医疗保健中移动计算的最新增长的领域。应用程序通常使用深度摄像机来估计用户的身体姿势，因此机器智能可以评估并提供与医学相关的反馈以实现医疗结果。 Sheridan College and Lusens是一位用于商业，零售和医疗应用的互动，触摸和手势识别软件的领导者 - 试图进行协作应用程序研究与发展（R＆D），致力于改善其现有的Gophysio产品。 Gophysio使用专有技术来分析和测量肌肉骨骼的位置和运动，以提供远程援助，以提供物理治疗，康复和健身。拟议的研究将着重于开发通过机器学习的人体姿势估计和对深度和RGB摄像机的评分的创新解决方案。身体姿势估计的应用作为软件来评估，批判和评分患者运动和手势的手段，需要专门的摄像机对骨骼计算，分析运动的算法以及人工智能，以分析用于预测目的的运动。卢森斯（Lusens）旨在将研究结果应用于其行业领先的身体姿势估计软件和从事拟议项目的谢里丹计算机科学专业的学生的发展，这将受益于经验性学习和实践的相关技能，用于现实世界中的创新挑战。