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The objectives of this study were to investigate the feasibility of applying computer vision techniques and to analyse changes in behaviour and movement of high school students during class. The study was performed over two phases. Phase 1 focused on developing a feasible method to use computer vision-based techniques in high school classes, and Phase 2 focused on the testing of aromatherapy to affect student movement. All camera data was processed and analysed by OpenPose, Matlab, and EyesWeb. Movement features such as velocity, acceleration, and kinetic energy and postural variables, spinal extension, and neck flexion were calculated. Results of Phase 1 showed significant differences in the overall segment velocity, acceleration, energy, and neck flexion. Similarly, the second phase showed significant differences in velocity, acceleration, and jerk for the left shoulder and elbow joints of the group exposed to aroma. In conclusion, the results show the feasibility of using computer vision techniques in a classroom setting.

Evaluation of a Computer Vision-Based System to Analyse Behavioral Changes in High School Classrooms