Game Automation System Based on Computer Vision

P. Srihari, K.K.B.N. Venkat, Bijjala Sirisha, Bolla Sai Naga Yaswanth, B.Vamsi Krishna · 2023

Games are an activity with some set of rules. Usually, games are played for entertainment or fun and sometimes used for education purpose. Now a day’s games are also considering as profession. Games are essential for healthy development in early childhood as many of the games helps in improving knowledge and skills of an individual. In recent times online games gain popularity that leads to decrease physical activity of a player in this scenario players loosing physical gaming experience. There will be huge requirement of a system that physically involves the players in online games. This study introduces a real-time hand tracking system for portable devices that analyzes a player’s hand skeleton using computer vision techniques this process of gesture recognition techniques has been used to understand human gesture and body language. This System acts as a bridge between human and machines and enables player to gain physical experience in online games. The classical approach is based on the computer vision methods, where the image frames obtained from the web are subjected to filtering, detection and recognition. However, Media-Pipe is multimodal framework provided by google that helps in training model to achieve high performance.

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