International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Advanced Gaming using Eye Gesture Recognition

Author(s) Omkar Warule, Sarthak Sarikar, Kunal Suryawanshi, Rajat Sarokar, Manisha Mali, Sachin R. Sakhar
Country India
Abstract Eye gesture recognition represents a advanced technology in the evolution of human-computer interaction (HCI) and for advanced gaming purpose, ‘particularly in the Scenario of today’s industry, equipping delicate hardware such as’ infrared cameras’, ‘depth sensors’, and ‘electrooculography’ (EOG), with the advance software algorithms including Convolutional Neural Networks (CNN), gaze estimation algorithm, and real-Time tracking frameworks like Filters Kalman.’ By including machine learning, deep learning, and computing algorithms, this technology enabled precise interpretation of gestures, establishing interaction between ‘augmented and virtual reality of today’s tech world’, and set the stage for enhanced user experience in intelligent and human Centric industrial system. ‘This type of development marked by primary challenges such as: the accurate eye detection and the creation of a suitable sign language for eye gesture using movements of the pupil. This research focused on the utilization of CNN Algorithm technique to address these challenges, accounting for differentiation in pose, Orientation, Location, and Scale’. The system detects the eye gesture, pre-processing the image extracted from dataset from platform named Kaggle. The subsequent image analysis is performed using ‘python programming’ and OpenCV, utilizing the theories of eye detection and segmentation to enhance the accuracy of system. ‘The proposed methodology also integrates the histogram-based approach to differentiate among various machine learning algorithms and provide the optimal results for eye gesture analysis’
Keywords EYE GESTURE, CNN, MACHINE LEARNING, PYTHON, HCI , TENSORFLOW , KERAS.
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-09
Cite This Advanced Gaming using Eye Gesture Recognition - Omkar Warule, Sarthak Sarikar, Kunal Suryawanshi, Rajat Sarokar, Manisha Mali, Sachin R. Sakhar - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.29229
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.29229
Short DOI https://doi.org/g8qtm5

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