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Towards detecting and predicting fall events in elderly care using bidirectional electromyographic sensor network

机译:使用双向肌电传感器网络来检测和预测老年人护理中的跌倒事件

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Falling is one of the most serious life-threatening events for the elders, and the ICT-based solution plays a key role in addressing this problem prevalently. In this paper, four principles are proposed as fundamental criteria for designing a sensor network for elder-oriented fall detection and prediction. According to these criteria, a bidirectional electromyographic sensor network model is experimentally constructed, and qualitative analysis is conducted to explain that this solution performs more realistically and rationally.
机译:跌倒是老年人最严重的威胁生命的事件之一,基于ICT的解决方案在普遍解决这一问题方面发挥着关键作用。在本文中,提出了四个原则作为设计面向老年人的跌倒检测和预测的传感器网络的基本标准。根据这些标准,通过实验构建了双向肌电传感器网络模型,并进行了定性分析,以说明该解决方案具有更现实,更合理的性能。

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