New Research Paper Published /論文が出版されました

We are pleased to announce that our new article, “Comparison of Deep Learning-Based Three-Dimensional Human Pose Estimation Methods with Motion Capture for Gesture Research,” has been published in PLOS One. The study examines the feasibility of deep learning-based 3D human pose estimation as an accessible alternative to motion capture for gesture research.

For more details, please visit the following page:  https://github.com/naotoienaga/TRAC3D

Reference:
Ienaga, N. & Sekine, K. (2026). Comparison of deep learning-based three-dimensional human pose estimation methods with motion capture for gesture research. PLoS One 21(4): e0347288. https://doi.org/10.1371/journal.pone.0347288