Autonomous fall detection system

点击翻译按钮获取中文摘要

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.