Gait analysis system for assessing abnormal patterns in individuals with hemiparetic stroke during robot-assisted gait training: a criterion-related validity study in healthy adults [0.03%]
基于健康成年人的机器人辅助步行训练中判断卒中偏瘫患者异常步态的标准关联效度研究：采用步态分析系统
Issei Nakashima,Daisuke Imoto,Satoshi Hirano et al.
Issei Nakashima et al.
Introduction: Gait robots have the potential to analyze gait characteristics during gait training using mounted sensors in addition to robotic assistance of the individual's movements. However, no systems have been propos...
Analysis and experiment of a positioning and pointing mechanism based on the stick-slip driving principle [0.03%]
一种基于蠕动驱动原理的定位与指向机构分析及实验研究
Yongqi Zhu,Juan Li,Jianbin Huang et al.
Yongqi Zhu et al.
Introduction: Traditional positioning and pointing mechanisms often face limitations in simultaneously achieving high speed and high resolution, and their travel range is typically constrained. To overcome these challenge...
TS-Resformer: a model based on multimodal fusion for the classification of music signals [0.03%]
基于多模态融合的音乐信号分类模型TS-Resformer
Yilin Zhang
Yilin Zhang
The number of music of different genres is increasing year by year, and manual classification is costly and requires professionals in the field of music to manually design features, some of which lack the generality of music genre classific...
Motion control and singular perturbation algorithms for lower limb rehabilitation robots [0.03%]
下肢康复机器人的运动控制与奇点校正算法研究
Yanchun Xie,Anna Wang,Xue Zhao et al.
Yanchun Xie et al.
To better assist patients with lower limb injuries in their rehabilitation training, this paper focuses on motion control and singular perturbation algorithms and their practical applications. First, the paper conducts an in-depth analysis ...
Eisa Aghchehli,Milad Jabbari,Chenfei Ma et al.
Eisa Aghchehli et al.
Electromyography (EMG) systems are essential for the advancement of neuroprosthetics and human-machine interfaces. However, the gap between low-density and high-density systems poses challenges to researchers in experiment design and knowle...
Diagnosis of pneumonia from chest X-ray images using YOLO deep learning [0.03%]
基于YOLO深度学习的胸部X光片肺炎诊断方法
Yanchun Xie,Binbin Zhu,Yang Jiang et al.
Yanchun Xie et al.
Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and misdiagnosis. To address this, we propose a...
Multi-scale image edge detection based on spatial-frequency domain interactive attention [0.03%]
基于时空频域交互注意的多尺度图像边缘检测方法
Yongfei Guo,Bo Li,Wenyue Zhang et al.
Yongfei Guo et al.
Due to the many difficulties in accurately locating edges or boundaries in images of animals, plants, buildings, and the like with complex backgrounds, edge detection has become one of the most challenging tasks in the field of computer vis...
Editorial: Biomedical signals and artificial intelligence towards smart robots control strategies [0.03%]
主编来论：从生物医学信号到人工智能——迈向智能机器人的控制策略
Hassene Seddik,Hassen Fourati,Chiraz Ben Jabeur et al.
Hassene Seddik et al.
Unmanned aerial vehicle based multi-person detection via deep neural network models [0.03%]
基于深度神经网络模型的无人飞行器多人检测方法
Mohammed Alshehri,Laiba Zahoor,Yahya AlQahtani et al.
Mohammed Alshehri et al.
Introduction: Understanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos becomes...
HR-NeRF: advancing realism and accuracy in highlight scene representation [0.03%]
基于神经辐射场的高光场景逼真呈现及准确性研究（HR-NeRF）
Shufan Dai,Shanqin Wang
Shufan Dai
NeRF and its variants excel in novel view synthesis but struggle with scenes featuring specular highlights. To address this limitation, we introduce the Highlight Recovery Network (HRNet), a new architecture that enhances NeRF's ability to ...