Abstract
The biometric method based on self-powered sensing technology can realize identity recognition without an external power supply. Compared with traditional biometric technology, it is more convenient to deploy and more reliable to operate. In this paper, a pedal self-powered gait sensor is developed with energy harvesting technology, which can transform the motion of human walking to biometric information. The gait sensing device combines flexible polyvinylidene fluoride (PVDF) piezoelectric film with kresling origami structure to design a new piezoelectric kresling origami generator, which can achieve high-efficiency and broadband energy harvesting performance. The finite element is introduced to simulate the folding process of the kresling origami, in which stress concentration is observed at the creases. The electromechanical coupling model of piezoelectric kresling origami generator is established to optimize the parameters and achieve higher output power. The correctness of the electromechanical coupling model is verified by dynamic and static experiments. The harvested power and voltage of a single mountain crease can respectively reach 95.65 μw and 17.77 V. Due to the nonlinear properties of kresling origami structure, the half-power bandwidth reaches 41.55 Hz. The harvested power becomes 418.16 μw through connecting six piezoelectric films in series. To test the feasibility of identity recognition, we select three students to walk through the pedal self-powered gait sensor. The features of the voltage signals output by the generator are extracted and input into the neural network for training and testing. The results show that three different students’ gait information recognition accuracy is 100%. Our work provides a new method for realizing secretive and privacy-protected biological information sensing and recognition.
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