Unintentional falls can cause severe injuries and even death, especially if no immediate assistance is given. A fall detection system aims to detect a fall as soon as it occurs, therefore issuing an automatic assistance request. Wearable embedded sensors are emerging as the most viable solution for continuous monitoring since they are more effective, less intrusive and less expensive than other systems. Tailoring a deep learning method to the requirements of microcontrollers entails matching very stringent constraints in terms of both memory and computational power. In addition, datasets acquired with wearable devices are relatively scarce and not necessarily devised for supervised learning. In this work, we discuss the design of a software architecture based on recurrent neural networks which can be effective for fall detection while running entirely onboard a wearable device. The well-known and publicly-available SisFall dataset was adopted and extended with fine-grained temporal annotations to cope with the supervised training of recurrent neural networks. We then show that an appropriate process of architectural minimization together with accurate hyperparameters selection leads to a workable model which compares favorably with other detection techniques. The embedding of the resulting architecture has been validated using a state-of-art hardware device.

中文翻译：

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在智能可穿戴设备上使用循环神经网络进行在线跌倒检测

意外跌倒会导致重伤甚至死亡，尤其是在没有立即提供帮助的情况下。跌倒检测系统旨在在跌倒发生时立即检测到跌倒，因此发出自动辅助请求。可穿戴嵌入式传感器正在成为持续监控的最可行解决方案，因为它们比其他系统更有效、侵入性更小且成本更低。根据微控制器的要求定制深度学习方法需要在内存和计算能力方面匹配非常严格的限制。此外，使用可穿戴设备获取的数据集相对稀缺，不一定是为监督学习而设计的。在这项工作中，我们讨论了基于循环神经网络的软件架构的设计，该架构可以有效地检测跌倒，同时完全在可穿戴设备上运行。采用了众所周知的公开可用的 SisFall 数据集，并使用细粒度的时间注释进行扩展，以应对循环神经网络的监督训练。然后，我们展示了适当的架构最小化过程以及准确的超参数选择会导致一个可行的模型，该模型与其他检测技术相比具有优势。已使用最先进的硬件设备验证了所得架构的嵌入。采用了众所周知的公开可用的 SisFall 数据集，并使用细粒度的时间注释进行扩展，以应对循环神经网络的监督训练。然后，我们展示了适当的架构最小化过程以及准确的超参数选择会导致一个可行的模型，该模型与其他检测技术相比具有优势。已使用最先进的硬件设备验证了所得架构的嵌入。采用了众所周知的公开可用的 SisFall 数据集，并使用细粒度的时间注释进行扩展，以应对循环神经网络的监督训练。然后，我们展示了适当的架构最小化过程以及准确的超参数选择会导致一个可行的模型，该模型与其他检测技术相比具有优势。已使用最先进的硬件设备验证了所得架构的嵌入。