Instant communication shares a large proportion of daily social interaction. Expressions, subtle body movements, and gestures are examples of providing feedback in communication. Bespoke mask accessory kit with embedded capacitive touch sensors and MCU explores the methodology of expression detection and allows the wearer to provide real-time visual representations of expressions for interlocutors.
SentiMasQ is a mask accessory that can be installed on a surgical mask. It detects the value of the capacitive touch of the conductive fabric at several locations inside the mask and compares it with a trained onboard machine learning model to calculate the wearer’s expression and display it on a flexible screen outside the mask. It provides an inclusive mask solution to help people communicate and transmit expressions, breaking down the barriers brought by face masks to interpersonal communications through speech and facial expressions.