Eye-Gaze
Controlled Spotify
Song Reproduction
Use your eyes to control song reproduction: visualize current playing song, pause, resume, skip to the previous song, skip to the next, all using your eyes.
What is Eyris?
Eyris is an academic project realized by Christian Loschiavo and Alessandro Ruben Jarach.
The project was issued for final examination of a course named “Intelligent Consumers Technologies”: the starting point was the so called e-tran alphabet that makes it possible to communicate with people with motion and speech impairments (refer to this video to learn how this method works).
Technology and AI can help us give back to such people some independence, by removing the need for a person and a physical board to communicate and interact with digital devices, for any task.
Our specific task however was to permit them to reproduce and control the playback of Spotify's songs with ease, by leveraging eye tracking.
How It's Made
At the core of it all there is AI.
In particular, the first step is leveraging a model that, acquiring the image of the face from the webcam, is able to recognize various points of it (as shown in the image on the left).
The ones we're interested in, are the points that are defining the eyes.
Frequently Asked Questions (FAQ)
We understand your concern about privacy, and we want to assure you that your security is our top priority. Our web application utilizes eye tracking technology to enhance your experience in controlling Spotify song reproduction. Importantly, the entire process occurs on your device - nothing is transmitted or stored on our servers.
The eye tracking model operates entirely through JavaScript on the client side, meaning it runs directly within your browser. This ensures that no data, images, or information from your webcam is sent or accessible by external entities. Your privacy is of utmost importance to us, and we have implemented robust measures to guarantee the security of your personal information.
If you have any further questions or would like additional information on our privacy practices, please feel free to reach out. We are committed to providing a safe and enjoyable user experience for all our users.
The Authors
We're both MSc students enrolled in the “Artificial Intelligence for Science and Technology” course offered by: University of Milan-Bicocca, University of Milan and University of Pavia
Get In Touch
You have an idea? you want to give us a feedback or you're interested in knowing something more about the project? Feel free to fill in the form down below and we'll answer as soon as possible!