GAIT PATTERN RECOGNITION USING DEEP LEARNING

GAIT PATTERN RECOGNITION USING DEEP LEARNING

Sabbineni Sagar Sumith Kumar, Sripada Shanmukha Chary, Singam Siva Prasad Reddy, Sowmya Ranjan Swain, S.V.S. Hanumantha Rao, and Dr. Thayyaba Khatoon.

UG Students, Assistant Professor, Professor & HoD

Department of Artificial Intelligence and Machine Learning, School of Engineering,Malla Reddy University, Maisammaguda, Dulapally, Hyderabad, Telangana 500100

ABSTRACT
In this work we investigate the problem of people recognition by their gait. For this task, we implement a deep learning approach using the Neural Networks as the main source of motion information and combine neural feature extraction with the additional embedding of descriptors for representation improvement. To find the best heuristics, we compared several deep neural network architectures, learning and classification strategies. The experiments were made on two popular datasets for gait recognition, so we investigate their advantages and disadvantages and the transferability of considered methods.

Keywords: Gait Analysis, Gait Biometrics, Gait Abnormalities, Gait Disorders, Convolution Neural Networks (CNN), Feature Selection, Pattern Recognition, Motion Capture during locomotion.