Research Experiences

Publications

Yazdan Ghanavati, Javad Rasti, “Behneshan: An Educational Video Game Utilizing Image Processing and Machine Learning Techniques to Teach Persian Sign Language to Deaf Children”, 6th International Serious Games Symposium (ISGS), 2023, status: Accepted    

Yazdan Ghanavati, Javad Rasti, “Real-time PSL (Persian sign language) detection using LSTM neural network and Machine Vision techniques”, 2023, status: under-prep    

Yazdan Ghanavati, Maryam Salehi, Javad Rasti, “ Controlling computer games by tracking the body’s anatomical marker points; real immersion Experience in virtual space”, Seventh International Conference of Video Games, Challenges and Opportunities, Isfahan, Iran, 2022 (This Paper is Written in Persian)   Download paper here  

Patent

“ Human Pose Tracking Package ”, Software Application

This Windows-based application enables users to control exergames using physical movements by converting their actions into precise keyboard and mouse commands. It offers an alternative method of exercising for overweight individuals or those with muscle-related issues. Status: under-evaluation  

Details of this project   2021 Sept - Present      

Projects

Behneshan; A video game to teach sign language to deaf children using AI asnd Machine Vision

University of Isfahan, BME department, Isfahan, Iran
This project uses LSTM neural networks to create a software that teaches Persian Sign Language (PSL) to deaf children via a platformer game, Computer Vision techniques, and pose landmark recognition. The system accurately recognizes 29 PSL letters and practical words with a 96% accuracy rate.  

Details of this project    

2022 Sept - Present    

This project has been anounced as one of the top 3 projects in the field of serious games by the Iranian National Computer Games Foundation    

ThermoDetect

A breast cancer detection system built using advanced image-processing techniques and machine learning algorithms in MATLAB, incorporating thermogram analysis to provide accurate and efficient diagnosis of potential abnormalities.    

Details of this project   2022 Jun  

DyslexiaAid

A C#-based application designed to assist children in improving their reading and learning abilities through engaging, interactive exercises tailored to enhance cognitive skills and reading comprehension.    

Details of this project   2022 Dec