Recognition of Lao sentence sign language using kinect sensor

Simple item page
dc.contributor.authorSombandith, Vimonhak
dc.contributor.authorWalairacht, Aranya
dc.contributor.authorWalairacht, Somsak
dc.date.accessioned2026-08-06T10:17:46Z
dc.date.available2026-08-06T10:17:46Z
dc.date.issued2017-11-03
dc.description.abstractThis 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.
dc.identifier.citationEcti Con 2017 2017 14th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 656-659, 2017
dc.identifier.doi10.1109/ECTICon.2017.8096323
dc.identifier.other2-s2.0-85039914079
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/7962
dc.sourceEcti Con 2017 2017 14th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology
dc.subjectjoint position
dc.subjectkinect sensor
dc.subjectLao sentense sign language
dc.subjectSkeleton detection
dc.titleRecognition of Lao sentence sign language using kinect sensor
dc.typeConference Paper

Files

Collections

Research