Abstract
With the development of the Internet of Things technology, the relationship among deep learning, hardware, and medical care has become increasingly close. The way using portable wearable devices to collect and detect physiological health data has gradually become a focus of the academic community. In this paper, we use multi-sensing units to acquire the multi-dimensional physiological signal, and propose a layered 3D-MobileNet to achieve data processing and classification. In addition, the wearable system includes two parts: the foot part and the bracelet part. Compared with the similar devices, it has higher portability and at the same time greater advantage in classification accuracy.
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