An interactive mouthguard based on mechanoluminescence-powered optical fibre sensors for bite-controlled device operation

An interactive mouthguard that uses mechanoluminescent phosphors, distributed-optical-fibre sensors and machine learning algorithms can translate different biting patterns into inputs that can control other devices. Keyboards and touchscreens are widely used to control electronic devices, but these can be difficult to operate for individuals with dexterity impairments or neurological conditions. Several assistive technologies, such as voice recognition and eye tracking, have been developed to provide alternate methods of control. However, these can have problems in terms of use and maintenance. Here we report a bite-controlled optoelectronic system that uses mechanoluminescence-powered distributed-optical-fibre sensors that are integrated into mouthguards. Phosphors that are sensitive to mechanical stimulus are arranged in an array of contact pads in a flexible mouthguard; by using unique patterns of occlusal contacts in lateral positions, various forms of mechanical deformation can be distinguished by the fibre sensors via ratiometric luminescence measurements. By combining the device with machine learning algorithms, it is possible to translate complex bite patterns into specific data inputs with an accuracy of 98%. We show that interactive mouthguards can be used to operate computers, smartphones and wheelchairs.

Automated summary

This technology uses mechanoluminescent phosphors, distributed-optical-fibre sensors, and machine learning algorithms to translate different biting patterns into inputs that can control other devices. By using mouthguards, it enables individuals with dexterity impairments or neurological conditions to operate computers, smartphones, and wheelchairs without the need for fingers or eye movements.