Multisensor Systems for Physical Activity Monitoring and Assessment

用于身体活动监测和评估的多传感器系统

• 批准号: RGPIN-2022-04998
• 负责人: Naish, Michael
• 金额: $ 2.04万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759863
• 关键词: Multisensor; Systems; Physical; Activity; Monitoring

Most Canadians are not realizing the benefits of regular physical activity, including increased energy, better relaxation, increased strength and stamina, improved weight management, and, most importantly, a reduced risk of many chronic conditions and diseases. In the absence of an expert or a coach, a persistent challenge for many engaging in activity is knowing whether they are doing things correctly-gaining the benefits of higher intensity exercise while minimizing the risk of injury. For this purpose, the proposed research program is focused on solving the engineering challenges associated with the development of accessible technologies to guide and support individuals in their physical fitness activities. To address these challenges, the short-term objectives of the proposed research are as follows: 1. To correctly identify specific physical activities that individuals are doing based on real-time images and data from wearable sensors. Machine learning methods will be developed to robustly discriminate exercises in real time. 2. To develop metrics that can accurately estimate the energy used during physical activities from a variety of sensors. The optimal set of sensors will be determined and new models for energy expenditure estimation will be developed. 3. To develop techniques and metrics that can assess and quantify how closely activities performed by an individual compare to how they should be done. Motion models will be developed along with metrics that indicate motion quality at the joint level. 4. To design and evaluate the best haptics-based approaches to provide feedback to an individual during physical activity. A variety of actuator configurations and stimulation patterns will be explored to determine the best way to deliver haptic cues for exercise guidance. The outcomes of the proposed research over the next 5 years will lead to significant contributions in the development of systems and methods that can interpret visual and wearable sensor data to provide insights and actionable feedback during physical activity. Together, they will provide additional tools to support broader initiatives to increase activity levels. In the long term, the proposed research will result in accessible technologies that help people engage in physical activity safely and effectively without the presence of a health expert, trainer, or coach. To succeed with the proposed work, equity, diversity, and inclusion criteria will be considered when hiring research personnel, when recruiting participants, when analyzing the data, and in the development and translation of the technology. A collaborative approach will be taken to consider the needs of the users and other key stakeholders.

大多数加拿大人没有意识到定期体育活动的好处，包括增加能量，更好的放松，增加力量和耐力，改善体重管理，最重要的是，降低许多慢性病和疾病的风险。在没有专家或教练的情况下，对于许多从事活动的人来说，一个持续的挑战是知道他们是否在正确地做事情-获得高强度运动的好处，同时最大限度地减少受伤的风险。为此，拟议的研究计划的重点是解决与无障碍技术的发展相关的工程挑战，以指导和支持个人的体育健身活动。为了应对这些挑战，建议研究的短期目标如下：1。根据来自可穿戴传感器的实时图像和数据正确识别个人正在进行的特定身体活动。将开发机器学习方法，以便真实的实时对练习进行强有力的区分。2.开发可以从各种传感器准确估计身体活动期间使用的能量的指标。将确定传感器的最佳设置，并将开发新的能源消耗估计模型。3.开发技术和指标，可以评估和量化个人执行的活动与应该如何完成的活动的接近程度。将沿着指示关节水平运动质量的度量来开发运动模型。4.设计和评估最佳的基于触觉的方法，以在身体活动期间向个人提供反馈。将探索各种致动器配置和刺激模式，以确定传递触觉提示以进行锻炼指导的最佳方式。未来5年的研究成果将为系统和方法的开发做出重大贡献，这些系统和方法可以解释视觉和可穿戴传感器数据，从而在身体活动期间提供见解和可操作的反馈。它们将共同提供额外的工具，支持更广泛的举措，以提高活动水平。从长远来看，拟议的研究将产生可访问的技术，帮助人们在没有健康专家，培训师或教练的情况下安全有效地参与体育活动。为了成功完成拟议的工作，在雇用研究人员、招募参与者、分析数据以及开发和翻译技术时，将考虑公平、多样性和纳入标准。将采取协作办法，考虑用户和其他主要利益攸关方的需求。