SIGN LANGUAGE LETTER LEARNING MEDIA

被引:0
作者
Rahmatya, Myrna dwi [1 ]
Wicaksono, Mochamad fajar [2 ]
机构
[1] Univ Komputer Indonesia, Dept Informat Management, Bandung, Indonesia
[2] Univ Komputer Indonesia, Dept Comp Engn, Bandung, Indonesia
来源
JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY | 2024年 / 19卷 / 02期
关键词
Indonesian sign language system; Learning media; Learning mode; Question mode; Sign language; RECOGNITION; FEATURES; SYSTEM;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This research aims to build a sign language learning media, especially alphabet letters. Users can not only learn to act out the sign code but also train and test their understanding through question mode. The system will guide the user to act out the letters in sign language in the learning mode. After that, the user can practice in the practice mode, which is by acting out the sign code and the system will provide voice feedback. Meanwhile, with question mode, users can test their understanding of letters in sign language. In question mode, users will be asked to act out certain signs as instructed. The sign language used in this learning media is the Indonesian Sign Language System (SIBI). In question mode, users will act out the sign language with their hands and will be captured by the camera. In its development, the method used is the waterfall method with the stages of requirements, design, implementation, and testing. At the end of the stage, testing is done using the blackbox method. Testing is done on the practice mode and question mode. The test results show that the learning media can work as expected.
引用
收藏
页码:498 / 512
页数:15
相关论文
共 31 条
  • [1] Amanullah J., 2022, Jurnal Ilmiah Elektronika dan Komputer, V15, P242
  • [2] Aslam MA., 2020, NANO BIOMED ENG, V12, P1
  • [3] Bora Jyotishman, 2023, Procedia Computer Science, P1384, DOI 10.1016/j.procs.2023.01.117
  • [4] Borman R.I., 2018, Jurnal Informatika: Jurnal Pengembangan IT, V3, P103
  • [5] Computer vision application programming for settlement monitoring in a drainage tunnel
    Chen, I-Hui
    Ho, Shei-Chen
    Su, Miau-Bin
    [J]. AUTOMATION IN CONSTRUCTION, 2020, 110
  • [6] Prediction of bankruptcy using support vector machines: an application to bank bankruptcy
    Erdogan, Birsen Eygi
    [J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2013, 83 (08) : 1543 - 1555
  • [7] Han J.S., 2022, Journal of System and Management Sciences, V12, P468
  • [8] A novel SVM-based decision framework considering feature distribution for Power Transformer Fault Diagnosis
    Hong, Lucheng
    Chen, Zehua
    Wang, Yifei
    Shahidehpour, Mohammad
    Wu, Minghe
    [J]. ENERGY REPORTS, 2022, 8 : 9392 - 9401
  • [9] Huang Elisha Gracia, 2023, Procedia Computer Science, V227, P614, DOI 10.1016/j.procs.2023.10.565
  • [10] Fast, closed-loop iterative system-on-chip of deflection efficiency enhancement for a liquid crystal optical phased array
    Huang, Yanwei
    Wang, Kangzhe
    He, Xiaoxian
    Yan, Qianying
    Wang, Yifan
    Liang, Zhiqing
    Zhuo, Rusheng
    Tan, Qinggui
    Hu, Junxiang
    Wang, Xiangru
    Gao, Shihan
    [J]. APPLIED OPTICS, 2022, 61 (06) : 1583 - 1592