Anusha, R.Sanshi, S.2026-02-0620242024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024, 2024, Vol., , p. -https://doi.org/10.1109/INSPECT63485.2024.10896002https://idr.nitk.ac.in/handle/123456789/29212Gait, the pattern of walking, has been extensively studied and various methods have been developed to use it as a biometric for individual recognition. Despite this, the potential to identify individuals through running videos has not been thoroughly explored. The paper introduces a novel method that expands the feature-based approach for identifying individuals based on their running style. This work focuses on extracting the mutual information and location specific metric from the key gait poses of subjects in the testing and training datasets. Later on, the assignment of a testing sample to the training sample is accomplished using the proposed classification method. The experiments are conducted on KTH, OU-ISIR A, and Weizmann database. The efficiency of this method is demonstrated by the obtained experimental results. © 2024 IEEE.Classificationfeature extractiongait recognitionhuman identification