collaborators

5 papers

cs.AI2025

GDAIP: A Graph-Based Domain Adaptive Framework for Individual Brain Parcellation

Jianfei Zhu, Haiqi Zhu, Shaohui Liu +3

Recent deep learning approaches have shown promise in learning such individual brain parcellations from functional magnetic resonance imaging (fMRI). However, most existing methods…

cs.HC2024

Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study on Walking

Chunzhi Yi, Xiaolei Sun, Chunyu Zhang +4

Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Me…

cs.RO2024

A Novel Passive Occupational Shoulder Exoskeleton With Adjustable Peak Assistive Torque Angle For Overhead Tasks

Jin Tian, Haiqi Zhu, Changjia Lu +4

Objective: Overhead tasks are a primary inducement to work-related musculoskeletal disorders. Aiming to reduce shoulder physical loads, passive shoulder exoskeletons are increasing…

physics.med-ph2024

Effects of Muscle Synergy during Overhead Work with a Passive Shoulder Exoskeleton: A Case Study

Jin Tian, Baichun Wei, Chifu Yang +7

Objective: Shoulder exoskeletons can effectively assist with overhead work. However, their impacts on muscle synergy remain unclear. The objective is to systematically investigate…

cs.CV2024

AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understanding

Hao Guo, Wei Fan, Baichun Wei +4

Embodied reference understanding is crucial for intelligent agents to predict referents based on human intention through gesture signals and language descriptions. This paper intro…