Abstract
In todays society the demand for reliable verification of a user identity is increasing. Although biometric technologies based on fingerprint or iris can provide accurate and reliable recognition performance, they are inconvenient for periodic or frequent re-verification. In this paper we propose a hip-based user recognition method which can be suitable for implicit and periodic re-verification of the identity. In our approach we use a wearable accelerometer sensor attached to the hip of the person, and then the measured hip motion signal is analysed for identity verification purposes. The main analyses steps consists of detecting gait cycles in the signal and matching two sets of detected gait cycles. Evaluating the approach on a hip data set consisting of 400 gait sequences (samples) from 100 subjects, we obtained equal error rate (EER) of 7.5% and identification rate at rank 1 was 81.4%. These numbers are improvements by 37.5% and 11.2% respectively of the previous study using the same data set.
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Gafurov, D., Bours, P. (2010). Improved Hip-Based Individual Recognition Using Wearable Motion Recording Sensor. In: Kim, Th., Fang, Wc., Khan, M.K., Arnett, K.P., Kang, Hj., Ślęzak, D. (eds) Security Technology, Disaster Recovery and Business Continuity. Communications in Computer and Information Science, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17610-4_20
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DOI: https://doi.org/10.1007/978-3-642-17610-4_20
Publisher Name: Springer, Berlin, Heidelberg
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