Rock Paper Scissors game, recognizing user gestures from camera, using Media Pipe. User can register or #, play against the computer and save his progress. When the game is decided, he receives haptic feedback to his phone and smartwatch.
This project was developed as part of the Interactive Technologies course and aims to familiarize us with various forms of human-computer interaction. Specifically, by implementing a Rock-Paper-Scissors game, we utilize gesture recognition techniques through Computer Vision and Convolutional Neural Networks (CNNs). Additionally, we provide the user with haptic feedback, informing them about the progress of the game
- Kosmas Archontis
- Maria Aspioti
- Vasiliki Kasouridou
- Georgios Stergiopoulos
- Sign-in/ Register functionality
- Data Base for history records
- User selected game length
- Haptic feedback when game is decided