• Publications
  • Influence
Implementation of the EOG-Based Human Computer Interface System
Based on this EOG-based HCI system, the remote control experiments driven by EOG are realized and these commands could be used to control the computer or other instruments. Expand
A novel eye movement detection algorithm for EOG driven human computer interface
Experimental and simulation results show that the proposed eye movement detection algorithm has stable performance and can be used for online controlling and communication in EOG based HCI system. Expand
A Fully Automated Trial Selection Method for Optimization of Motor Imagery Based Brain-Computer Interface
A two-round data selection method was developed to identify automatically the badly corrupted EEG trials in the training set and an accuracy-matrix method to locate the artifact data segments within a single trial and investigated which types of artifacts can influence the performance of the ICA-based MIBCIs. Expand
Automatic Emotion Perception Using Eye Movement Information for E-Healthcare Systems
Experimental results reveal that eye movement information can effectively reflect the emotional state of the adolescences, which provides a promising tool to improve the performance of the E-Healthcare system. Expand
An ICA-based spatial filtering approach to saccadic EOG signal recognition
The proposed algorithm presents an excellent classification performance in saccadic signals recognition, and is adopted as the support vector model (SVM) as the classifier under lab environment. Expand
Simultaneous detection of blink and heart rate using multi-channel ICA from smart phone videos
An algorithm for simultaneous detection of eye blink and heart rate using multi-channel ICA using 6-channel SOBI and a kurtosis based method is proposed to automatically select blink and cardiac signals from the output separations. Expand
Development of a human computer Interface system using EOG
A HCI system which transforms electrical potentials recorded by horizontal and vertical EOG into a computer in order to control external equipment is proposed and the remote control experiments driven by EOG are realized. Expand
Robust Spatial Filters on Three-Class Motor Imagery EEG Data Using Independent Component Analysis
The results suggested that any segment of finite motor imagery EEG samples could be used to design ICA spatial filters, and the extracted MRICs are consistent if the position of electrodes are the same, which confirmed the robustness and practicality of ICA used in the motor imagery Brain Computer Interfaces (MI-BCI) systems. Expand
A dual model approach to EOG-based human activity recognition
  • Yu Lu, Chao Zhang, B. Zhou, X. Gao, Zhao Lv
  • Computer Science
  • Biomed. Signal Process. Control.
  • 1 August 2018
A dual model to achieve human activity recognition (HAR) under a specific task background is proposed and a confidence parameter is introduced to comprehensively analyze and judge outputs of the above two models. Expand
Design and implementation of an eye gesture perception system based on electrooculography
Experiential results show that the recognition precision of unit saccadic EOG and eye gesture are 96.8% and 95.0% respectively, which reveal the proposed system has a good performance of eye gestures perception. Expand