Attachable Inertial Device with Machine Learning toward Head Posture Monitoring in Attention Assessment

ABSTRACT: The monitoring of head posture is crucial for interactive learning, in order to build feedback with learners’ attention, especially in the explosion of digital teaching that occurred during the current COVID-19 pandemic. However, conventional monitoring based on computer vision remains a great challenge in the multi-freedom estimation of head posture, owing to low-angle annotation and limited training accuracy. Here, we report a fully integrated attachable inertial device (AID) that comfortably monitors in situ head posture at the neck, and provides a machine learning-based assessment of attention. The device consists of a stretchable inertial sensing unit and a fully integrated circuit-based system, as well as mechanically compliant encapsulation. Due to the mechanical flexibility, the de

SUBMITTER: Peng Y 

PROVIDER: S-EPMC9788255 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature