Speed Invariant Human Gait Authentication Based on CNN
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-84760-9_68
Reference18 articles.
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2. Derawi, M.O., Bours, P., Holien, K.: Improved cycle detection for accelerometer based gait authentication. In: Proceedings of the 2010 6th International Conference Intelligent Information Hiding Multimedia Signal Processing. IIHMSP 2010, October 2010, pp. 312–317 (2010)
3. Han, J., Bhanu, B.: Individual recognition using gait energy image. IEEE Trans. Pattern Anal. Mach. Intell. 28(2), 316–322 (2006)
4. Barnich, O., Droogenbroeck, M.V.: Frontal-view gait recognition by intra- and inter-frame rectangle size distribution. Pattern Recogn. Lett. 30(10), 893–901 (2009)
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1. Remora Optimization Based Sample Weighted Random SVM For Human Gait Authentication;International Journal of Electrical and Electronics Research;2022-12-30
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