Leveraging Temporal Dependency for Cross-subject-MI BCIs by Contrastive Learning and Self-attention
Brain-computer interfaces (BCIs) built based on motor imagery paradigm have found
extensive utilization in motor rehabilitation and the control of assistive applications …
extensive utilization in motor rehabilitation and the control of assistive applications …
GaitRA: triple-branch multimodal gait recognition with larger effective receptive fields and mixed attention
L Xue, Z Tao - Multimedia Tools and Applications, 2024 - Springer
Gait Recognition, as a long-distance biometric technique for identity recognition, has
attracted widespread attention in recent years. Previous academia typically employs minor …
attracted widespread attention in recent years. Previous academia typically employs minor …
Fusion of Lightweight Networks and DeepSort for Fatigue Driving Detection Tracking Algorithm
K Xu, F Li, D Chen, L Zhu, Q Wang - IEEE Access, 2024 - ieeexplore.ieee.org
The fatigue driving detection process faces issues such as a large number of parameters,
low accuracy and insufficient continuous detection. To address these, this paper proposes a …
low accuracy and insufficient continuous detection. To address these, this paper proposes a …
Assessment of lumbar disc herniation-impaired gait by using IMU data fusion method
Y Wang, Z Li, G Zhao, Y Ding, Z Huan… - Computer Methods in …, 2024 - Taylor & Francis
The inertial motion unit (IMU) is an effective tool for monitoring and assessing gait
impairment in patients with lumbar disc herniation (LDH). However, the current clinical …
impairment in patients with lumbar disc herniation (LDH). However, the current clinical …