Human Motion Prediction under Unexpected Perturbation

J Yue, B Li, J Pettré, A Seyfried… - Proceedings of the …, 2024 - openaccess.thecvf.com
We investigate a new task in human motion prediction which is predicting motions under
unexpected physical perturbation potentially involving multiple people. Compared with …

Electronic physical education textbook: Effective or not? Experimental study

S Kubiyeva, A Akhmetova, K Islamova… - … Journal of Emerging …, 2020 - learntechlib.org
It is very important for a modern specialist to be aware of information technolo-gies and
effectively apply them in their professional activities. Thus, the use of electronic learning …

Simplified Physical Model‐based Balance‐preserving Motion Re‐targeting for Physical Simulation

J Hwang, S Ishii - Computer Graphics Forum, 2024 - Wiley Online Library
In this study, we propose a novel motion re‐targeting framework that provides natural
motions of target robot character models similar to the given source motions of a different …

Hierarchical learning recurrent neural networks for 3D motion synthesis

D Zhou, C Guo, R Liu, C Che, D Yang, Q Zhang… - International Journal of …, 2021 - Springer
Three-dimensional human motion synthesis is one of the key technologies in the field of
computer animation and multimedia applications. It is well known that the human body's own …

Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies

J Hwang, G Park, T Kwon, S Ishii - Computer Graphics Forum, 2022 - Wiley Online Library
In this study, we focus on developing a motion synthesis framework that generates a natural
transition motion between two different behaviours to interact with a moving object …

Primitive object grasping for finger motion synthesis

JP Hwang, G Park, IH Suh… - Computer Graphics Forum, 2021 - Wiley Online Library
We developed a new framework to generate hand and finger grasping motions. The
proposed framework provides online adaptation to the position and orientation of objects …

ULT-model: Towards a one-legged unified locomotion template model for forward hopping with an upright trunk

D Ossadnik, E Jensen… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
While many advancements have been made in the development of template models for
describing upright-trunk locomotion, the majority of the effort has been focused on the stance …

[PDF][PDF] Neuranimation: Reactive Character Animations with Deep Neural Networks.

S Silva, S Sugahara, W Ugarte - VISIGRAPP (1: GRAPP), 2022 - academia.edu
The increasing need for more realistic animations has resulted in the implementation of
various systems that try to overcome this issue by controlling the character at a base level …

Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data

J Hwang, S Ishii, T Kwon, S Oba - IEEE Access, 2020 - ieeexplore.ieee.org
Motion synthesis benefits from the use of motion capture data and a dynamic model
because the motion data can provide a reference to naturalness, and the dynamic model …

Towards a more practical data-driven biped walking control

Z Cao, T Bao, W Jia, S Ma… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Walking motion is a fundamental skill involved in daily bipedal activities. Generating the
walking motion from mocap data requires a controllable and responsive character in both …