activity
20242026
collaborators

6 papers

cs.CV2026

SASG-DA: Sparse-Aware Semantic-Guided Diffusion Augmentation For Myoelectric Gesture Recognition

Chen Liu, Can Han, Weishi Xu +2

Surface electromyography (sEMG)-based gesture recognition plays a critical role in human-machine interaction (HMI), particularly for rehabilitation and prosthetic control. However,…

cs.HC2026

Fusion of Spatio-Temporal and Multi-Scale Frequency Features for Dry Electrodes MI-EEG Decoding

Tianyi Gong, Can Han, Junxi Wu +1

Dry-electrode Motor Imagery Electroencephalography (MI-EEG) enables fast, comfortable, real-world Brain Computer Interface by eliminating gels and shortening setup for at-home and…

cs.CV2025

CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection

Xiangning Zhang, Jinnan Chen, Qingwei Zhang +4

Gastrointestinal malignancies constitute a leading cause of cancer-related mortality worldwide, with advanced-stage prognosis remaining particularly dismal. Originating as a ground…

cs.CV2025

SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with Mamba

Xiangning Zhang, Qingwei Zhang, Jinnan Chen +5

Endoscopic Submucosal Dissection (ESD) is a minimally invasive procedure initially developed for early gastric cancer treatment and has expanded to address diverse gastrointestinal…

cs.CV2024

Towards Open-Set Myoelectric Gesture Recognition via Dual-Perspective Inconsistency Learning

Chen Liu, Can Han, Chengfeng Zhou +2

Gesture recognition based on surface electromyography (sEMG) has achieved significant progress in human-machine interaction (HMI), especially in prosthetic control and movement reh…

cs.HC2024

A Spatial-Spectral and Temporal Dual Prototype Network for Motor Imagery Brain-Computer Interface

Can Han, Chen Liu, Yaqi Wang +3

Motor imagery electroencephalogram (MI-EEG) decoding plays a crucial role in developing motor imagery brain-computer interfaces (MI-BCIs). However, decoding intentions from MI rema…