Jun Pan

ORCID: 0000-0002-2666-6279
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Research Areas
  • Muscle activation and electromyography studies
  • Image Processing Techniques and Applications
  • Stroke Rehabilitation and Recovery
  • Prosthetics and Rehabilitation Robotics
  • EEG and Brain-Computer Interfaces
  • Advanced Vision and Imaging
  • Neural and Behavioral Psychology Studies
  • Optical Coherence Tomography Applications
  • Image Retrieval and Classification Techniques
  • Remote-Sensing Image Classification
  • Hand Gesture Recognition Systems
  • Human Motion and Animation
  • Image and Video Stabilization
  • Gaze Tracking and Assistive Technology
  • Advanced Measurement and Detection Methods
  • Botulinum Toxin and Related Neurological Disorders
  • Sport Psychology and Performance
  • Neural dynamics and brain function
  • Optical Systems and Laser Technology
  • Functional Brain Connectivity Studies
  • Human Pose and Action Recognition
  • Motor Control and Adaptation
  • Advanced Image and Video Retrieval Techniques

Guizhou University
2024

Shanghai University of Sport
2024

Scuola Superiore Sant'Anna
2022-2023

Zhejiang A & F University
2023

Zhejiang University of Technology
2017-2022

Sun Yat-sen University
2011

Yangzhou University
2008

This letter describes the design and characterization of an upper-limb exoskeleton for post-stroke rehabilitation. The platform interacts with shoulder elbow user through four active joints, driven by series elastic actuators (SEAs) custom springs to achieve compactness ease maintenance. adopts a passive kinematic chain aligning user's robot joints' rotation axes, quick flipping mechanism enable dual-side use. pole-placement method based on dynamic model SEA was used low-level controller,...

10.1109/lra.2022.3183926 article EN IEEE Robotics and Automation Letters 2022-06-17

The ability to inhibit conflicting information is pivotal in the dynamic and high-speed context of fast-ball sports. However, behavioral electrophysiological characteristics underlying cognitive inhibition processes associated with table tennis expertise remain unexplored. This study aims bridge these research gaps by utilizing color-word Stroop task spatial alongside event-related potential (ERP) measurements investigate domain-general domain-specific among athletes. involved a total 40...

10.3390/brainsci14050443 article EN cc-by Brain Sciences 2024-04-29

Background: Table tennis athletes have been extensively studied for their cognitive processing advantages and brain plasticity. However, limited research has focused on the resting-state function of brains. This study aims to investigate network characteristics electroencephalogram in table identify specific biomarkers. Methods: A total 48 healthy right-handed college students participated this study, including 24 controls with no exercise experience. Electroencephalogram data were collected...

10.3390/brainsci14030222 article EN cc-by Brain Sciences 2024-02-27

NESM- γ is an upper-limb exoskeleton to train motor functions of post-stroke patients. Based on the kinesiology upper limb, includes a four degrees-of-freedom (DOF) active kinematic chain for shoulder and elbow, along with passive self-aligning robotic joint axes glenohumeral (GH) joint's center rotation. The accounts scapulohumeral rhythm trunk rotations. To assess performance, we analyzed electromyographic data in eight healthy subjects performing reaching tasks under three experimental...

10.1109/tnsre.2023.3341219 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023-01-01

Aiming at solving the problems of non-sufficient recognition type, poor stability and real-time performance, this paper proposed a pattern method based on sEMG Support Vector Machine(SVM). A forearm electrode array plate was designed to collect signals through experiments. Parameters SVM classifier were determined by using theory. Besides, teacher samples trained signals. Finally, used verify effect The results show that has high accuracy in recognition, which verifies validity reliability.

10.1109/cbs.2017.8266116 article EN 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS) 2017-10-01

This paper mainly presents two approaches for image retrieval. There is some faintness in color locating quantification boundary when quantized. The membership function fuzzy set theory can describe the transition preferably. In this paper, HSI space adopted to solve problem above. At same time, spatial information integrated with feature content more truly. Due importance of texture feature, gray concurrence matrix extracted. second part retrieval scheme combining four descriptors...

10.1109/icnnsp.2008.4590385 article EN International Conference on Neural Networks and Signal Processing 2008-06-01

Abstract This paper presents a novel framework that synthesize Chinese sign language (CSL) animation on ubiquitous platform‐independent devices with consideration of the self‐adaptive rendering capability device display screen. The resolution visibility (DRV) factor is introduced here as measurement system's adaptability. Both 3D virtual human model and scripts are simplified according to DRV Factor device. Consequently, real‐time transmission scheme proposed for over heterogeneous network....

10.1002/cav.409 article EN Computer Animation and Virtual Worlds 2011-04-01

This work describes the design and preliminary characterization of a novel portable hand exoskeleton for poststroke rehabilitation. The platform actively mobilizes index-metacarpophalangeal (I-MCP) joint, it additionally offers individual rigid support to distal degrees freedom (DoFs) index thumb. test-bench proves capability device render torques at I-MCP level with high fidelity within frequencies interest application (up 3 Hz). introduction feed-forward friction compensation actuator...

10.1109/icorr58425.2023.10304721 article EN 2023-09-24
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