Imagine a video game that knows exactly when a child is struggling or getting frustrated by watching their eyes and heart rate. It then changes the lesson in real-time to help them focus and stay calm. This tool helps kids with learning differences master basic skills while giving teachers a clear map of how to help them.
Teachers struggle to personalize education for the 15% of children with neurodevelopmental disorders. Current tools lack the ability to accurately measure and respond to a child's emotional and cognitive state in real-time.
["A learning platform featuring 9 serious games for executive function and self-regulation training.", "Hardware and software interfaces for integrating eye-tracking and wearable biosensors."]
If you are a software provider dealing with the lack of personalized tools for neurodiverse students — this project developed a platform with 9 serious games that uses eye-tracking and biosensors to adapt learning in real-time.
If you are a clinic dealing with the difficulty of measuring a child's emotional self-regulation during therapy — this project developed hardware and software components to extract physiological data from sensors into a learning platform.
If you are a manufacturer dealing with the need for new high-impact use cases for biosensors — this project developed system components to integrate eye-tracking and wearable data into educational games.
Based on available project data, no pricing or cost information is provided as this is a research-funded project.
The project is being tested in school settings using randomized clinical trials, suggesting a path toward larger scale deployment, though specific scale metrics are not provided.
Based on available project data, the IP and licensing terms are not specified; the project is coordinated by Universitat de Valencia.
The project includes deliverables for system components that get eye-tracking data from devices and physiological data from sensors into the platform.
The project period runs from 2022-10-01 to 2025-09-30, indicating the final results will be available late 2025.
The consortium is heavily academic, consisting of 6 universities and 1 research organization out of 9 total partners. There is a low industry presence with only 1 industrial partner (11% ratio), suggesting the current output is more focused on scientific validation than immediate commercial productization.
Contact Universitat de Valencia regarding the EMPOWER platform
Contact us to explore licensing opportunities for the EMPOWER sensor-integrated learning platform.
