IARNS - Improving Accuracy and Reducing Noise in Smart garments

IARNS - 提高智能服装的准确性并降低噪音

• 批准号: 10061484
• 金额: $ 4.21万
• 依托单位: KYMIRA LTD.
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10061484
• 关键词: IARNS; Improving; Accuracy; Reducing; Noise

Professional sports are a high-risk industry due to the potential of injury, with football being one of the top three sports with the highest amount of injuries. Catapult Sports have estimated that the average cost of an injury is ~£200,000 in fixed wages, with English Premier League teams losing an average of £45 million per season due to injuries. There is therefore a clear unmet need for elite sports teams to rely on a tool that allows them to monitor athletes and collect data on them, in order to understand players' physiology and identify early signs of fatigue/risk of injury.KYMIRA have developed smart leggings for elite sports athletes, which will later be adapted for a healthcare application, embedded with sensors that detect movement and heart rate parameters.A4I funding will allow us to work closely with NPL to resolve some issues we have experienced with our sensors, in order to provide an accurate measurement.

职业体育是一个高风险的行业，因为有潜在的伤害，足球是受伤最多的三大运动之一。Catapult Sports估计，受伤的平均成本约为20万英镑的固定工资，英超球队平均每个赛季因受伤而损失4500万英镑。因此，精英运动队显然需要依靠一种工具来监控运动员并收集他们的数据，以了解运动员的生理状况并识别疲劳/受伤风险的早期迹象。KYMIRA为精英运动员开发了智能紧身衣，稍后将适用于医疗保健应用，A4 I的资金将使我们能够与NPL密切合作，解决我们在传感器方面遇到的一些问题，以便提供准确的测量。