Student Behavior Recognition System for the Classroom Environment Based on Skeleton Pose Estimation and Person Detection.

Human action recognition has attracted considerable research attention in the field of computer vision, especially for classroom environments. However, most relevant studies have focused on one specific behavior of students. Therefore, this paper proposes a student behavior recognition system based on skeleton pose estimation and person detection.

Initial development and validation of the Online Appearance-Relevant Peer Conversations Scale.

In this research, we present three studies on the development and validation of the Online Appearance-Relevant Peer Conversations Scale (OARPCS), a 12-item measure of (1) physical appearance and (2) life stressors as foci of online peer communications. In Study 1, young Chinese adults (N = 800) completed OARPCS items and measures of body image, Internet use, and general distress. Exploratory factor analyses supported the hypothesized two factor structure and within gender correlation analyses provided construct validity support.