Abstract
This paper designs a fall detection system based on Arduino 101. It is mainly composed of NNs (Neural Networks) and IMU (Inertial measurement unit). It is used to detect if an oldman falls down. When an old man falls, It can call the police to help the man get help in time. The core chip of Arduino 101 is the Intel Curie module. Intel Curie module microprocessor is Intel x86 Quark SE. It also carries GPRS wireless communication and GPS satellite positioning module. It analyzes and studies the characteristic parameters of the old man when he falls and does daily activities. It mainly uses the RBF (Radial Basis Function) algorithm to identify if a fall occurs. Experimental results show that: the system is able to identify most of the motion states correctly, with low reporting and false alarm rate. And it can quickly distinguish between daily activities and falls. For the old man, the detection accuracy rate can reach 95.5%. It has a high recognition rate, reliability and stability.
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Wang, N., Liu, Y. (2019). Design of Fall Test System Based on Arduino 101. In: Fortino, G., Wang, Z. (eds) Advances in Body Area Networks I. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-02819-0_22
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DOI: https://doi.org/10.1007/978-3-030-02819-0_22
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