Abstract
With the development of technology, the number of wearable devices has exploded. Many users wear multiple wearable devices at the same time. These devices require pairing operations due to requirements for sharing resources, identity authentication, etc. But traditional device pairing solutions have their own shortcomings. For example, schemes based on environmental information are too dependent on the external environment. In order to solve these problems, we propose Cop in this paper, a novel device-pairing scheme based on user heartbeat, which realizes the pairing of different types of devices and devices under different motion states, and build a hardware platform verification system to verify various performances in real scenarios. At the same time, it is compared with IPI-based pairing algorithm. Experimental results show that our pairing scheme possesses advantages over IPI method in the core metrics of bit rate, coding efficiency, false acceptance rate and false rejection rate.
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Acknowledgment
This work was supported in part by the National Natural Science Foundation of China (Grant No. 62106150,62172286), the Open Research Fund of Anhui Province Key Laboratory of Machine Vision Inspection (KLMVI-2023-HIT-01), the Natural Science Foundation of Guangdong Province, China (Grant No. 2022A1515011509), the Director Fund of Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) (24420001), and the Tencent “Rhinoceros Birds” - Scientific Research Fund for Young Researchers of Shenzhen University.
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He, W., Lin, J., Zou, Y., Cao, W. (2024). Cop: Continuously Pairing of Heterogeneous Wearable Devices Based on Heartbeat. In: Cao, C., Chen, H., Zhao, L., Arshad, J., Asyhari, T., Wang, Y. (eds) Knowledge Science, Engineering and Management. KSEM 2024. Lecture Notes in Computer Science(), vol 14886. Springer, Singapore. https://doi.org/10.1007/978-981-97-5498-4_20
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DOI: https://doi.org/10.1007/978-981-97-5498-4_20
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