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Abstract
1. Introduction
2. Related Works
3. Research Approach
4. Zao and Lu method for Human Gait Feature Extraction
5. Experiment for Human Gait Data
6. Deep Learning for Numerical Data
7. Learning Performance on Human Gait Data
8. Conclusion
References
Thanh Hai Nguyen / 2019 / Disease Prediction using Synthetic Image Representations of Metagenomic data and Convolutional Neural Networks / The 13th IEEE-RIVF International Conference on Computing and Communication Technologies 2019 :231~236
P. Fihl / 2007 / Classification of gait types based on the duty-factor / 2007 IEEE Conference Advanced Video and Signal based Surveillance :318~323
D. M. Rong Zhang / 2004 / Human Gait Recognition / 2004 Conference Computer Vision and Pattern Recognition :18
Liang Wang / 2003 / Automatic gait recognition based on statistical shape analysis / IEEE Transactions on Image Processing 12:1120~1131
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