Current Virtual Reality controllers and gloves lack accurate finger tracking technology, limiting natural hand interactions. Magos employs a unique AI/ML-powered hand-tracking approach to overcome this shortfall.
Their approach combines Internet of Things technologies, innovative hardware design, and AI/ML algorithms to achieve highly accurate finger tracking. The integration of AI/ML enhances generalization and robustness, revolutionizing the user experience in virtual environments.
Challenges include achieving accurate generalization across different hand sizes and ensuring seamless integration of AI/ML algorithms for improved finger tracking within diverse settings.
In the long term, Magos seeks to become a top-tier human-machine-interface (HMI) solution, providing a platform for various industries. The company aims to contribute to VR training adoption in healthcare, aerospace, robotics, engineering, industry 4.0, and gaming.
Find out more about Magos and their work here, and follow them on Linkedin here.
You can learn more about the companies selected in ELISE’s second Open Call here.
