Accurate pose estimation and exercise recognition for next generation wearable systems for athletic training

用于运动训练的下一代可穿戴系统的准确姿势估计和运动识别

• 批准号: 505508-2016
• 负责人: Kulic, Danica
• 金额: $ 4.11万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 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=656091
• 关键词: Accurate; pose; estimation; exercise; recognition

In the last 5 years, there has been a rapid expansion in the use of wearable systems for exercise and activity monitoring, including such popular systems as the FitBit and Garmin vivo. These systems enable the user to track their exercise activity, log and monitor their activity and performance over time, as well as engage in social games such as virtual team workouts and challenges. However, the majority of these systems can only measure a very rough estimate of overall activity, and are unable to provide more detailed measurement and assessment of specific workout activities to provide targeted feedback. In this proposal, our objective is to develop and validate the next generation wearable system for detailed and accurate exercise activity tracking. The developed system will accurately measure the body position of the athlete as they are performing their training exercises, and provide detailed feedback to the athlete and their coach. This will allow athletes and coaches to carefully track and analyse the athlete's form, performance and progress. Such detailed tracking and immediate feedback will help to reduce and prevent injury, improve performance and improve the quality of training. The project is a collaboration between PUSH Inc., a Canadian start-up based in Toronto, Ontario, focused on the development of wearable fitness devices for athletic training, and researchers at the University of Waterloo. The developed system and technology will be transferred to PUSH to enable them to bring to market the next generation of wearable systems for athletic activity measurement and monitoring.

在过去的5年里，用于运动和活动监测的可穿戴系统的使用迅速扩展，包括FitBit和Garmin vivo等流行系统。 这些系统使用户能够跟踪他们的锻炼活动，记录和监控他们的活动和表现，以及参与社交游戏，如虚拟团队锻炼和挑战。 然而，这些系统中的大多数只能测量总体活动的非常粗略的估计，并且不能提供具体锻炼活动的更详细的测量和评估以提供有针对性的反馈。 在这项提案中，我们的目标是开发和验证下一代可穿戴系统，以进行详细和准确的运动活动跟踪。 开发的系统将准确地测量运动员在进行训练时的身体位置，并向运动员及其教练提供详细的反馈。 这将使运动员和教练能够仔细跟踪和分析运动员的形式，表现和进步。 这种详细的跟踪和即时反馈将有助于减少和防止伤害，提高性能和提高训练质量。 该项目是PUSH Inc.，一家位于安大略省多伦多的加拿大初创企业，专注于开发用于运动训练的可穿戴健身设备，以及滑铁卢大学的研究人员。 开发的系统和技术将转移到PUSH，使他们能够将下一代可穿戴系统推向市场，用于运动活动测量和监测。