Application of Backpropagation Neural Network for Thai Sign Language Recognition based on Skeletal Motion Tracking

Main Article Content

Chonrat Tatiyaworanun


The accessibility of skeletal tracking using by Kinect camera has facilitated the research in Thai sign language recognition. This paper proposes an application of backpropagation neural network for Thai sign language recognition based on skeletal motion tracking. Experimental results of all 5 standard Thai sign language proposed the image recognition algorithm for Thai sign language translation yields accuracy greater than 88%.

Article Details

Research Articles


E. CahkuS, H. Kose and G. ince, "Kinect interacted drum game for disabled children," 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014, pp. 734-737.

K. Kaewplee, N. Khamsemanan and C. Nattee, "A rule-based approach for improving Kinect Skeletal Tracking system with an application on standard Muay Thai maneuvers," 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014, pp. 281-285.

R. A. Pambudi, N. Ramadijanti and A. Basuki, "Psychomotor game learning using skeletal tracking method with leap motion technology," 2016 International Electronics Symposium (IES), 2016, pp. 142-147.

N. Ramadijanti, H. F. Fahrul and D. M. Pangestu, "Basic dance pose applications using kinect technology," 2016 International Conference on Knowledge Creation and Intelligent Computing (KCIC), 2016, pp. 194-200.

C. Akyildiz and S. Saraydemir, "Command recognition by using skeletal tracking based on Kinect sensor," 2016 24th Signal Processing and Communication Application Conference (SIU), 2016, pp. 2061-2064.

S. Win and T. L. L. Thein, "Real-Time Human Motion Detection, Tracking and Activity Recognition with Skeletal Model," 2020 IEEE Conference on Computer Applications (ICCA), 2020, pp. 1-5.

M. Aritonang and D. J. C. Sihombing, "An Application of Backpropagation Neural Network for Sales Forecasting Rice Miling Unit," 2019 International Conference of Computer Science and Information Technology (ICoSNIKOM), 2019, pp. 1-4.

C. Tatiyavoranun, "An Application of Artificial Neural Network for Thai Sign Language Recognition", Engineering Transactions, vol. 23, no. 1, January–June, 2020, pp. 51-57 (in Thai).