Poster: Unobtrusive user verification using piezoelectric energy harvesting

• Main Authors: MA, Dong, LAN, Guohao, XU, Weitao, HASSAN, Mahbub, HU, Wen
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Energy-effciency; Gait Verification; Sparse Representation; Wearable Device; Artificial Intelligence and Robotics; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/7012; https://ink.library.smu.edu.sg/context/sis_research/article/8015/viewcontent/3144457.3144510.pdf
• Institution: Singapore Management University

With the capability to harvest energy from low frequency motions or vibrations, piezoelectric energy harvesting has become a promising solution to achieve self-powered wearable system. Apart from generating energy to power the wearable devices, the output electricity signal of the PEH can also be used as an information source as it reflects the activity or motion patterns of the user. In this paper, we have designed and built an insole-based user authentication system by leveraging the AC voltage generated by the PEH during human walking. Meanwhile, the generated power is also collected and stored, which could be later used as the power source of the mobile system. By using a dataset of 20 subjects, we have demonstrated that our system can achieve 89.76% of verification accuracy when using only one gait cycle signal, and the accuracy can be further increased to 95.86% when two gait cycles are utilized.