Dissertation > Excellent graduate degree dissertation topics show

Research on Feature Extraction and Recognition Algorithm of EOG Signal

Author: WangJun
Tutor: WuXiaoPei
School: Anhui University
Course: Applied Computer Technology
Keywords: Human-Computer Interaction Eye electrical signal Endpoint detection Linear prediction coefficients Feature Extraction Pattern Recognition
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 145
Quote: 0
Read: Download Dissertation


Bio-electrical signal processing computer applications has become a major research focus. Based on the biological signals of the man-machine interaction (Human-Computer Interaction, HCI) system refers to establish a connection between the human body and a computer or other electronic device, by extracting human biological signals, and converted into corresponding control commands related to control interactive system of external equipment to complete the scheduled action. Has sparked a revolution in the way of traditional interactive system based on human-computer interaction bioelectric signals. EOG (Electro-oculogram, EOG) signal is a weak biological signals generated by eye movements, the signal can be affixed around the eye electrode recorded. Bioelectric signals, EOG signal has a higher amplitude, and waveform easy detection, treatment easily and other advantages, EOG-based human-computer interaction system is bound to have broad prospects for development. This paper studies EOG signal feature extraction and recognition algorithm, designed to obtain a set of efficient, portable characteristic parameters serve EOG signal pattern recognition. Based on this, the article to complete the following main work: 1. Acquisition and pre-processing of the experimental data: in a laboratory environment, designed EOG signal acquisition experimental and more than subjects for data collection, access to a large number of original EOG data . 2.EOG signal feature extraction: EOG characteristics extraction algorithm based on linear prediction (Linear Predictive Coding, LPC). I.e. the original EOG signal filtering, sub-frame, to calculate the short-term energy and endpoint detection preprocessing operation, extracting linear prediction (LPC) coefficients are used as the characteristic parameters of the EOG signal; order to obtain the information of the dynamic changes of the EOG signal, the algorithm further extraction of the first-order differential LPC coefficients and constitute a combination of characteristic parameters of the signal peak. 3.EOG signal pattern recognition algorithms: based BP algorithm of multi-layer feedforward network the saccade signal classification and BP network in key parameters determined by experiment. Finally, in MATLAB7.0 environment, design and complete the simulation experiment EOG signal pattern recognition, to verify the effectiveness of the mentioned characteristics recognition algorithm. Peripherals crosslinking: use of serial communication in VC 6.0 compiler platform, initially realized the line control external devices based on EOG signal. EOG signal acquisition and pre-processing of the article, feature extraction and pattern recognition software to implement part of the study and explore, completed the Design and Implementation of the external device control system based on the number of blinks, and for the further development of more efficient man-machine The interactive system to do the basic work. End part, a summary of the work done, and the future direction of the work put forward.

Related Dissertations

  1. The Classification of High Dimsnsion Flew Field Based on Manifold Learning,V231.3
  2. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  3. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  4. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  5. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  6. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  7. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  8. Research on Text Classification Based on Biomimetic Pattern Recongnition,TP391.1
  9. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  10. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  11. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  12. Multi-currency Notes Technology Research and Implementation,TP391.41
  13. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41
  14. Pavement Distress Recognition Based on Image,TP391.41
  15. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  16. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  17. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  18. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  19. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  20. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  21. Intrusion detection based on the ultrasonic echo envelope in the military security patrols,E919

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile