Toward the design of persuasive systems for a healthy workplace: a real-time posture detection.

ABSTRACT: Persuasive technologies, in connection with human factor engineering requirements for healthy workplaces, have played a significant role in ensuring a change in human behavior. Healthy workplaces suggest different best practices applicable to body posture, proximity to the computer system, movement, lighting conditions, computer system layout, and other significant psychological and cognitive aspects. Most importantly, body posture suggests how users should sit or stand in workplaces in line with best and healthy practices. In this study, we developed two study phases (pilot and main) using two deep learning models: convolutional neural networks (CNN) and Yolo-V3. To train the two models, we collected posture datasets from creative common license YouTube videos and Kaggle. We classified th

SUBMITTER: Ataguba G 

PROVIDER: S-EPMC11215059 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature