Contactless Human-Machine-Interface Based on Magnetometers for Consumer Applications

This study explores the use of novel, highly sensitive quantum-based magnetometers for creating a contactless human-machine interface for consumer applications. These sensors can detect extremely weak biomagnetic fields, such as those from the brain's neural activity (magnetoencephalography), at room temperature. The research aims to quantify interfering biological signals and evaluate the system's performance in detecting user intention for a simple use case. The results will serve as a foundation for developing future applications.