Abstract
At the present time, mobile devices such as tablet-type PCs and smart phones have widely penetrated into our daily lives. Therefore, an authentication method that prevents shoulder surfing is needed. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching.
The s-EMG signals, which are detected over the skin surface, are generated by the electrical activity of muscle fibers during contraction. Muscle movement can be differentiated by analyzing the s-EMG. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In this paper, we introduced dynamic time warping (DTW) for improvement of the method of identifying gestures.
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Acknowledgements
The authors would like to thank H. Tamura for his helpful supports in measuring s-EMG signals. This work was supported by JSPS KAKENHI Grant Numbers JP17H01736, JP17K00186.
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Kurogi, T., Yamaba, H., Aburada, K., Katayama, T., Park, M., Okazaki, N. (2018). A Study on a User Identification Method Using Dynamic Time Warping to Realize an Authentication System by s-EMG. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_82
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DOI: https://doi.org/10.1007/978-3-319-75928-9_82
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