Gaming using different hand gestures using artificial neural network


  • Prema S Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology image/svg+xml
  • G Deena SRM Institute of Science and Technology image/svg+xml
  • Hemalatha D Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology image/svg+xml
  • Aruna K B S. A. Engineering College
  • Hashini S Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology image/svg+xml



Hand gestures, Physical controller, Gesture recognition, Gaming controls, Analysis of gestures


INTRODUCTION: Gaming has evolved over the years, and one of the exciting developments in the industry is the integration of hand gesture recognition.

OBJECTIVES: This paper proposes gaming using different hand gestures using Artificial Neural Networks which allows players to interact with games using natural hand movements, providing a more immersive and intuitive gaming experience.

METHODS: Introduces two modules: recognition and analysis of gestures. The gesture recognition module identifies the gestures, and the analysis module assesses them to execute game controls based on the calculated analysis.

RESULTS: The main results obtained in this paper are enhanced accessibility, higher accuracy and improved performance.

CONCLUSION: To communicate with any of the traditional systems, physical contact is necessary. In the hand gesture recognition system, the same functionality can be interpreted by gestures without requiring physical contact with the interfaced devices.


Download data is not yet available.
<br data-mce-bogus="1"> <br data-mce-bogus="1">


Akula G, Shitanshu R, Aditya D. Playing Games Using Hand Gesture Recognition. International Research Journal of Modernization in Engineering Technology and Science.2022; Vol. 04, pp.662-668.

Tanay T, Vidya B. Hand Gesture Controlled Gaming Application. International Research Journal of Engineering and Technology (IRJET). 2021; Vol. 8, No. 4, pp. 3654.

Ahmed S, Ali A. A Comparative Study of Hand-Gesture Recognition Devices for Games. National Science Foundation government Journal.2020; pp. 397-402.

Kanishk C, Khushboo S, Mahak S, Mayank S. Gesture Recognition using OpenCV. International Journal of Advanced Networking Applications (IJANA).2018; Vol. 5, No. 4, pp. 3528.

Perez D, Samothrakis S, Togelius J, Schaul T, Lucas S. The 2014 general video game playing competition. IEEE Transactions on Computational Intelligence and AI in Games.2016; Vol. 8, No. 3, pp. 229. DOI:

Nhat V, Majed Q, Yu Z, Haoren Z, Cungang Y. Hand Gesture Recognition System for Games. IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE),2022; pp. 1-6.

Świechowski M, Mandziuk J. Specialisation of a UCT- based General Game Playing Program to Single-Player Games. IEEE Transactions on Computational Intelligence and AI in Games.2015; vol. 8, no. 3, pp. 218-228. DOI:

Richa D, Pooja L, Nongmeikapam T. Different Categories of Feature Extraction and Machine Learning Classification Models Used for Hand Gesture Recognition Systems. A Review, IEEE 8th International Conference for Convergence in Technology (I2CT). 2023; pp. 1-7.

Urvil P, Sourabh R, Vipin S, Xing T. Gesture Recognition Using MediaPipe for Online Real Time Gameplay. IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).2022; pp. 223-229.

Wu J, Kalyanam R, Givan R. Stochastic enforced hill-climbing. Journal of Artificial Intelligence Research.2011; Vol. 42, pp. 815–850.

Rafi A, Rezki Y, Agus K. Hand Gesture Recognition for Controlling Game Objects Using Two- Stream Faster Region Convolutional Neural Networks Methods. International Conference on Information Technology Research and Innovation (ICITRI).2022; pp. 59-64.

Perez D, Samothrakis S, Lucas S. Knowledge-based fast evolutionary MCTS for general video game playing. IEEE Conference on Computational Intelligence and Games (CIG’14).2014; pp. 1–8. DOI:

Manoj, G, Manohar, V, Banoth, R, Prasad, S, Sreeja, P. Game Controlling using Hand Gestures. IEEE Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), 2022; pp. 1-5.

Elisa C, Tiemi S, Luciana Z. Playing a Computational Thinking Game using Hand Gestures. IEEE International Conference on Advanced Learning Technologies (ICALT),2019; pp. 105-109.




How to Cite

P. S, G. Deena, H. D, A. K B, and H. S, “Gaming using different hand gestures using artificial neural network”, EAI Endorsed Trans IoT, vol. 10, Feb. 2024.