An Address-Event Fall Detector for Assisted Living Applications
An Address-Event Fall Detector for Assisted Living Applications
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DOI：
10.1109/tbcas.2008.924448
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发表时间：
2008-07
影响因子：
5.1
通讯作者：
Zhengming Fu;T. Delbrück;P. Lichtsteiner;E. Culurciello
中科院分区：
文献类型：
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作者：
Zhengming Fu;T. Delbrück;P. Lichtsteiner;E. Culurciello
在这篇文章中，我们描述了一个地址-事件视觉系统，旨在检测意外跌倒在老年人家庭护理应用中。当检测到跌倒危险时，系统会发出警报。我们使用了一种具有亚毫秒时间分辨率的异步时间对比度视觉传感器。该传感器报告坠落的时间分辨率是基于帧的摄像头的十倍，并在传输坠落事件时显示出84%的带宽效率。轻量级算法计算瞬时运动向量并报告坠落事件。我们能够将跌倒事件与正常的人类行为区分开来，比如走路、蹲下和坐着。我们的系统对被监控者在房间中的空间位置和宠物的存在具有很强的鲁棒性。
In this paper, we describe an address-event vision system designed to detect accidental falls in elderly home care applications. The system raises an alarm when a fall hazard is detected. We use an asynchronous temporal contrast vision sensor which features sub-millisecond temporal resolution. The sensor reports a fall at ten times higher temporal resolution than a frame-based camera and shows 84% higher bandwidth efficiency as it transmits fall events. A lightweight algorithm computes an instantaneous motion vector and reports fall events. We are able to distinguish fall events from normal human behavior, such as walking, crouching down, and sitting down. Our system is robust to the monitored person's spatial position in a room and presence of pets.