Creation and validation of fall detection algorithms for seniors based on sensor data

在这个项目中，我们的目标是开始开发一个跌倒检测算法，以满足我们的工业需求。 合作伙伴Azure WearTech Inc.（AWT）。该算法将与可穿戴设备集成， 护理人员在跌倒事故中找到受伤人员的位置。老年人的福尔斯是导致 伤害和住院治疗在世界各地，伤害有短期和长期的后果。几 卫生组织的研究和报告表明，老年人福尔斯及其相关伤害是重要的 日益严重的问题。提高养老院设施的健康标准，符合联邦和 省级卫生组织提倡独立生活，老年人口数量不断增加， 结合高福尔斯率和由此造成的伤害所产生的费用表明， 需要开发设备和系统来帮助这种情况。 在这个项目中，我们计划开发一种新型的跌倒检测系统。我们也在计划收集数据 来更好地训练我们的算法。我们亦计划监察 算法来识别潜在的问题。这项研究的结果将是一个算法， 检测福尔斯的能力。该项目将为我们的技术用户带来经济效益 公司，并在公共领域为加拿大带来短期和长期的社会和经济效益 健康除了这些好处之外，这项建议所授权的研究将导致对高度专业人员的培训。 高要求的健康和应用科学领域的合格人才。

In this project we are aiming to begin developing a fall detection algorithm to address the need of our industrial partner Azure WearTech Inc. (AWT). This algorithm will be integrated with a wearable device and help the caregivers to find the location of the injured people in fall incidences. Falls by seniors are the leading cause of injuries and hospitalizations worldwide and the injuries have short and long-term consequences. Several studies and reports conducted by health organization indicate senior falls and its related injuries as significant and growing problem. Improving the health standard in retirement home facilities, the interest of federal and provincial health organizations to promote independent living, and growing number of elderly population, combined with the high rate of falls and the cost incurred by the resulting injuries indicates that there is a clear need for developing devices and systems to help the situation. In this project we are planning to develop a novel fall detection system. We are also planning to collect data from volunteer seniors to better train our algorithm. We are also planning to monitor the performance of the algorithm to identify potential problems. The outcome of this research will be an algorithm which has the ability to detect falls for our industrial partner. This project will have financial benefits for our technology user corporation, and bring short and long-term social and economical benefits to Canada in the area of public health. In addition to the these benefits, the research empowered by this proposal will lead to training of highly qualified personnel in high demanding health and applied science areas.