1 research outputs found
Pose Estimation for Facilitating Movement Learning from Online Videos
There exists a multitude of online video tutorials to teach physical
movements such as exercises. Yet, users lack support to verify the accuracy of
their movements when following such videos and have to rely on their own
perception. To address this, we developed a web-based application that performs
human pose estimation using both video inputs from the online video and web
camera, then provides different types of visual feedback to a user. Our study
suggests that the user's skeleton overlaid on the user's camera feed improved
user performance, whereas the user's skeleton on its own or trainer's skeleton
with the trainer video offered limited benefits. We believe that our
application demonstrates the potential to enhance learning physical movements
from online videos and provides a basis for other guidance systems to design
suitable visualizations.Comment: 4+1 page