• Ankita Yadav
• Dipti Verma

Human identification has gained a lot of interest by the researchers recently. Gait analysis identify the people gait behavior. The behavior can be anything, like walking, running and talking behavior. In this paper a simple yet efficient mechanism is proposed for human gait identification using machine learning approach. The proposed system combines silhouette analysis by constructing features and image segmentation. The Training and classification of silhouette is done using self-organizing maps. The proposed method outperforms the existing system with higher accuracy.

Human Gait Analysis, behavior, silhouette, image segmentation.

"SOM Based Human Gait Recognition By Analyzing Silhouette", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.405-412, April-2019, Available :http://www.jetir.org/papers/JETIR1904260.pdf

"SOM Based Human Gait Recognition By Analyzing Silhouette", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp405-412, April-2019, Available at : http://www.jetir.org/papers/JETIR1904260.pdf