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    Hand gesture recognition for Lao alphabet sign language using HOG and correlation
    (2017-11-03)
    Sombandith, Vimonhak
    ;
    Walairacht, Aranya
    ;
    Walairacht, Somsak
    Hand gesture is one of a powerful means of communication among human. Sign language is an essential and natural expressive mean of communication especially for the deaf people. The article proposes a technique for the recognition of Lao alphabet sign language. The technique of image processing, that is Histogram of Oriented Gradients (HOG), is applied in order to extract characteristics of the hand images performing individual alphabet of Lao sign language. The extracted features are then sent to the template matching process. The similarity between the extracted features and the prototype features are measured by using correlation technique. The totals of 54 Lao alphabets are used in the experiments. Four subjects are asked to perform each alphabet of Lao sign language in which each subject had performed totally 540 gestures. The recognition rate of the proposed technique at about 79 % is achieved.
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    Recognition of Lao sentence sign language using kinect sensor
    (2017-11-03)
    Sombandith, Vimonhak
    ;
    Walairacht, Aranya
    ;
    Walairacht, Somsak
    This paper presents a technique for recognition Lao sentence sign language by using a Kinect sensor. By using Kinect sensor, feature joint positions of human body can be tracked. After that the joint angles between each pair of joint vectors of adjacent joint positions are measured. When the user perform a series of posture representing a simple sentence of Lao sign language, the system records joint angles that is significantly changed from one posture to another posture. Feature joint angles stored in the database is used to recognition the testing sentence's posture. The recognition rate of about 75% is achieved from the experiments performed 10 simple sentences of Lao sign language.