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Real-time Hand Gesture Recognition by Using Geometric Feature

Abstract第5页
Chapter 1 Introduction第8-12页
    1.1 Motivation第8-9页
    1.2 Research Objectives第9-10页
    1.3 Innovation第10页
    1.4 Organization第10-12页
Chapter 2 Review of the Hand Detection and Gesture Recognition第12-36页
    2.1 Image Input Device第13-15页
    2.2 Relative Method第15-23页
    2.3 Machine Learning第23-27页
    2.4 Present Condition of Hand Gesture Recognition Method第27-35页
    2.5 Summary第35-36页
Chapter 3 Hand Gesture Recognition Using Finger Segmentation第36-50页
    3.1 Proposed Method of Hand Gesture Recognition第36-45页
        3.1.1 Overview of the Method第36页
        3.1.2 Hand Detection第36-38页
        3.1.3 Fingers and Palm Segmentation第38-41页
        3.1.4 Fingers Recognition第41-43页
        3.1.5 Recognition of Hand Gesture第43-45页
    3.2 Experiment Result第45-48页
        3.2.1 Data Sets第45-46页
        3.2.2 Performance Evaluation on Data Set1第46-48页
        3.2.3 Performance Evaluation on Data Set2第48页
    3.3 Summary第48-50页
Chapter 4 American Sign Language Finger Spelling Recognition第50-66页
    4.1 Preprocessing第50-51页
    4.2 Finger Spelling in Sing Language第51-52页
    4.3 ASL Recognition第52-58页
        4.3.1 Histogram of Oriented Gradient第52-56页
        4.3.2 Support Vector Machine第56-58页
    4.4 Training and Classification第58-61页
        4.4.1 ASL Grouping via Finger Recognition Method第58-59页
        4.4.2 Feature Extraction第59-61页
    4.5 Experimental Result第61-65页
        4.5.1 Data Sets第61页
        4.5.2 Performance Evaluation using Existing HOG and SVM第61-62页
        4.5.3 Performance Evaluation using Proposed Method第62-63页
        4.5.4 Performance Evaluation using Geometric Features第63-65页
    4.6 Summary第65-66页
Chapter 5 Dynamic Hand Gesture Recognition第66-77页
    5.1 Preprocessing第66页
    5.2 Feature Extraction第66-69页
        5.2.1 Analysis of Trajectory第67-69页
        5.2.2 Extraction of Crossing Feature第69页
    5.3 Application of Augmented Reality第69-72页
        5.3.1 Introduction of Augmented Reality第70页
        5.3.2 Implementation Technology of AR第70-72页
    5.4 Experimental Result第72-75页
        5.4.1 Performance Evaluation on Digits第72-74页
        5.4.2 Performance Evaluation on ASL Finger Spelling第74页
        5.4.3 Implementation of AR第74-75页
    5.5 Summary第75-77页
Chapter 6 Conclusion第77-79页
    6.1 Conclusion第77-78页
    6.2 Future Work第78-79页
Reference第79-85页
Acknowledgment第85-86页
Appendix Research Achievements第86页

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