This project represents a cutting-edge exploration into the realms of human-computer interaction and advanced technology. Leveraging the power of mobile devices, this research initiative seeks to develop a groundbreaking system for tracking and accurately estimating a user’s gaze while they engage with dynamic visual content.
In a world inundated with multimedia and immersive experiences, the accurate tracking of user gaze is crucial for tailoring content, improving accessibility, and enhancing user experiences. By harnessing the capabilities of edge computing, the project aims to deliver real-time and precise gaze estimation directly on mobile devices, reducing latency and enhancing privacy.
The objectives of this project include:
- Developing innovative eye tracking algorithms tailored for mobile devices.
- Implementing edge computing solutions to process gaze data locally on the device.
- Enhancing gaze estimation accuracy, particularly in dynamic content scenarios.
- Exploring potential applications in fields such as gaming, augmented reality, virtual reality, and assistive technology.
Through interdisciplinary collaboration, state-of-the-art machine learning techniques, and real-world testing, this project seeks to push the boundaries of what is possible in gaze tracking technology. Ultimately, the outcome promises to revolutionize how users interact with dynamic visual content on their mobile devices, with profound implications for numerous industries and user experiences.
