9 papers
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…
PPTP: Performance-Guided Physiological Signal-Based Trust Prediction in Human-Robot Collaboration
Hao Guo, Wei Fan, Shaohui Liu +2
Trust prediction is a key issue in human-robot collaboration, especially in construction scenarios where maintaining appropriate trust calibration is critical for safety and effici…
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding
Hao Guo, Jianfei Zhu, Wei Fan +2
Referring expression comprehension (REC) aims at achieving object localization based on natural language descriptions. However, existing REC approaches are constrained by object ca…
Impact of Cognitive Load on Human Trust in Hybrid Human-Robot Collaboration
Hao Guo, Bangan Wu, Qi Li +3
Human trust plays a crucial role in the effectiveness of human-robot collaboration. Despite its significance, the development and maintenance of an optimal trust level are obstruct…
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…
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…