Autonomous fall detection system

这项提案概述了一种非侵入性个人监测(自主跌倒检测)系统的创新方法。拟议的项目和目标是：Zamani Wireless Solution Inc.(ZWS)计划开发颠覆性跌倒检测技术，利用变化检测、人工智能、机器学习、集群和半监督学习领域的学术先进研究，以极低的误警率(每天不到一次)提高跌倒检测精度。一旦开发和验证，这项技术可以商业化并集成到非侵入性跌倒检测产品中，该产品为老年人提供显著改善的用户体验(不需要身体佩戴的设备)，通过在受伤导致跌倒时提供确定的快速帮助和支持，从而使老年人能够更长时间地保持独立，从而带来更好的生活质量。

This proposal outlines an innovative approach to non-intrusive personal-monitoring (autonomous fall detection) system. The proposed project and objectives are: Zamani Wireless Solution Inc. (ZWS) plans to develop disruptive fall detection technology leveraging academic advanced research in the area of change detection, artificial intelligence, machine learning, clustering, and semi-supervised learning to improve fall detection accuracy with very low false alarm-rate (less than one per day) . This technology, once developed and validated, can be commercialized and integrated into the non-intrusive fall detection product that offers seniors a substantially improved user experience (no body worn devices required) leading to a better quality of life by providing a certainty of rapid help and support in the event of an injury causing fall allowing seniors to remain independent for longer.