This conference thesis is dedicated to exploring yawning detection within a drowsiness monitoring system, employing a 3D classification model trained on images of drivers' faces. Currently operating as a non-real time solution, our research pivots towards the imperative goal of transforming it into a real-time framework. Yawning's significance as an indicator of drowsiness underscores the need for instantaneous detection, particularly in dynamic environments such as driving .

Хасан Ф. (науч. рук. Кашевник А.М.) YAWNING DETECTION USING VIDEO CLASSIFICATION // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2024]. URL: https://kmu.itmo.ru/digests/article/12493