TY - JOUR
AU1 - Hou, Bo
AU2 - Yi, Luying
AU3 - Li, Chao
AU4 - Zhao, He
AU5 - Zhang, Rong
AU6 - Zhou, Bin
AU7 - Liu, Xiaogang
AB - 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.
TI - An interactive mouthguard based on mechanoluminescence-powered optical fibre sensors for bite-controlled device operation
JF - Nature Electronics
DO - 10.1038/s41928-022-00841-8
DA - 2022-10-01
UR - https://www.deepdyve.com/lp/springer-journals/an-interactive-mouthguard-based-on-mechanoluminescence-powered-optical-mCZajwrnx8
SP - 682
EP - 693
VL - 5
IS - 10
DP - DeepDyve
ER -