CURV Platform

CURV平台

• 批准号: 524100-2018
• 负责人: Whyne, Cari
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=668508
• 关键词: CURV; Platform

Visual assessment of the way humans move can be potentially useful for understanding abnormal and potentially harmful body**movements. CURV seeks to apply recent advancements in artificial intelligence to the assessment of human movement. CURVs**technology uses machine learning combined with 2D colour video acquired from ordinary smart phone devices for diagnosis and**guiding rehabilitation. Importantly, this technology has the ability to help health professionals (e.g., physiotherapists) and**careproviders objectively assess and better manage physical rehabilitation. This research project involves testing CURVs**technology, to demonstrate that it is sufficiently accurate to aid in clinical diagnosis, rehabilitation and training. Specifically our**industry partner will work with our clinical scientists and engineers to assemble suitable existing data, collect additional data and**test the accuracy of the CURV systems against gold-standard motion capture systems.

对人类运动方式的视觉评估可能有助于理解异常和潜在有害的身体运动。CURV试图将人工智能的最新进展应用于人类运动的评估。CURVs**技术将机器学习与从普通智能手机设备获取的2D彩色视频相结合，用于诊断和**指导康复。重要的是，这项技术有能力帮助卫生专业人员（例如，物理治疗师）和**护理提供者客观地评估和更好地管理身体康复。该研究项目包括测试CURVs**技术，以证明它足够准确，有助于临床诊断、康复和培训。具体来说，我们的行业合作伙伴将与我们的临床科学家和工程师合作，收集合适的现有数据，收集额外的数据，并**测试CURV系统与黄金标准运动捕捉系统的准确性。