Methods to determine subject-specific movement gait patterns using wearable technology

使用可穿戴技术确定受试者特定运动步态模式的方法

• 批准号: 493875-2016
• 负责人: Ferber, Reed
• 金额: $ 9.11万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=602905
• 关键词: Methods; determine; subject; specific; movement

Wearable technology and wireless sensors are a growing multi-billion dollar industry. However, while the output from current sensors provides helpful summaries of motion in general, they fall short of the detailed biomechanical data that have been shown to predict injury and overuse. There are two gaps within the current sensor market: (1) these devices generate a profound amount of data that is largely ignored or distilled into simple metrics (e.g step count) and (2) the information derived from sensor data is not placed within a contextual narrative.

可穿戴技术和无线传感器是一个价值数十亿美元的不断增长的行业。然而，尽管当前传感器的输出提供了总体上有用的运动总结，但它们没有提供详细的生物力学数据，这些数据已被证明可以预测损伤和过度使用。目前的传感器市场存在两个缺口：(1)这些设备产生的大量数据在很大程度上被忽略或提炼成简单的衡量标准(例如步数)和(2)从传感器数据中获得的信息没有放在上下文叙述中。