Peng Chen

Southwest Jiaotong University · School of Mechanical Engineering

Objective: Brain-computer interface(BCI) is leveraged by artificial intelligence in EEG signal decoding, which makes it possible to become a new means of human-machine interaction. However, the performance of current EEG decoding methods is still insufficient for clinical applications because of inadequate EEG information extraction and limited co...

This study investigates the effect of changing channel ordering at the input end of EEGNet on the classification performance of deep learning algorithms, based on the entropy weight graph using phase locking value (PLV). The PLV is computed to reflect the phase synchronization relationship between different EEG channels and an adjacency matrix is c...

Robotic devices are capable of reducing the physical burden on rehabilitation therapists and providing training programs of good repeatability, high efficiency and high precision. When designing the kinematic structure for rehabilitation robots, there has been a growing interest towards 1-degree-of-freedom (DOF) end-effector mechanisms due to their...

Stroke has become a major disease that seriously threatens human health due to its high incidence and disability rates. Most patients undergo upper limb motor dysfunction after stroke, which significantly impairs the ability of stroke survivors in their activities of daily living (ADL). Robots provide an optional solution for stroke rehabilitation...

Compared to manual therapy, robot therapy can provide more intensive and accurate rehabilitation training. However, most current devices are built on bulky and complex multi-degree-of-freedom (multi-DOF) mechanisms. Recently, 1-DOF mechanisms have gained popularity due to their portability and simplicity. Existing synthesis methods for 1-DOF mechan...

Background The aging of the world population poses a major health challenge, and brain–computer interface (BCI) technology has the potential to provide assistance and rehabilitation for the elderly. Objectives This study aimed to investigate the electroencephalogram (EEG) characteristics during motor imagery by comparing young and elderly, and stu...

Rehabilitation robots have been proven to be an effective tool for patient motor recovery in clinical medicine. Recently, few degrees of freedom (DOFs), especially 1-DOF, rehabilitation robots have drawn increasing attention as the complexity and cost of the control system would be significantly reduced. In this paper, the mechanism synthesis probl...

The electroencephalography (EEG) signal is a non-stationary, stochastic, and highly non-linear bioelectric signal for which achieving high classification accuracy is challenging, especially when the number of subjects is limited. As frequently used solution, classifiers based on multilayer neural networks has to be implemented without large trainin...

Mechanism with few degree-of-freedom is an economical solution for rehabilitation robot because it does not need complicated structure and control system. To provide motion data to design the robot with few degree-of-freedom, a user motion tracking method on the mobile platform is proposed. Using the data from monocular vision system on the smartph...

We proposed an appealing method based on refined composite multiscale fuzzy entropy (RCMFE), infinite feature selection (Inf-FS) algorithm, and support vector machine (SVM) for implementing localized defect detection to keep the downtime and extended damage caused by incipient failure of bearing at a minimum. As a useful approach, multiscale fuzzy...

Railway transportation demands more efficient and accurate rail wear inspection systems to ensure the train operation safety. To obtain continuous three-dimensional data, a structured light rail wear inspection system is developed in this article, and the data processing method for aligning the point cloud from structured light scanning to the nomi...

As a three-dimensional measuring instrument, the laser tracker is widely used in industrial measurement. To avoid the influence of angle measurement error on the overall measurement accuracy, the multi-station and time-sharing measurement with a laser tracker is introduced on the basis of the global positioning system (GPS) principle in this paper....

A type of machine vision based data glove with certain encoded features on its surface, strip glove is proposed in this paper. The machine vision device replaces the sensors attached on the glove and captures the codes on the glove to obtain the hand motion data. To handle the complex geometrical transformations in the strip glove motion, conformal...

This paper deals with the classic problem of the synthesis of planar linkages for path generation. Based on the Fourier theory, the task curve and the synthesized four-bar coupler curve are regarded as the same curve if their Fourier descriptors match. Using Fourier analysis, a curve must be given as a function of time, termed a parametrization. In...

In this paper, we propose a novel hybrid active contour model for image segmentation. In our model, we define a new region-scalable fitting (RSF) energy functional which combines the local and the global image information. The RSF energy functional can not only attract the contour toward object boundaries, but also improve the robustness to initial...

To deal with the problems of complicated process, difficult operation and low efficiency for large-scale complex products assembly, a new immersive virtual environment (VE) with virtual reality (VR) technology is built in the process of assembly planning and training. The environment is composed of a free walk machine and spherical screen projectio...

In this paper, a Colored Petri Net modeling method for early stage design of virtual assembly operation is presented. The characteristics of virtual assembly system, Petri Net and Colored Petri Net are analyzed. Some previous work in Petri Net application in assembly and virtual assembly system is discussed. The theoretical aspects of Colored Petri...

Virtual manufacturing technology has become an effective method for decision and planning in manufacturing. Due to ergonomics problems are widely concerned in assembly design planning, a human-centered virtual assembly system framework is proposed for ergonomics analysis for assembly operation in this paper. The six-layer framework integrates virtu...

To deal with the problems of complicated process, difficult operation and low efficiency for large-scale complex products assembly, a new virtual assembly environment system (VAES) is proposed, which applies virtual reality (VR) technology in the process of assembly planning and training. Considering human activity during assembly planning of those...