Gesture identification research and applications in evaluation systems

Shou Jen Lin, Jui Le Chen, Yu Chen Tsai, Ping Chun Chang, Chu Sing Yang

Research output: Contribution to journalConference articlepeer-review


By introducing computer-assisted identification technique into the evaluation system design for elementary and junior high schools, the users gestures, acquired through cameras, are transformed into effective interactive information, which is further applied to the digital evaluation system. Such a new-styled interactive method is expected to enhance the communication model between the learners and the information system. Without touching any interactive devices, the users can communicate with the system through gestures, from which the messages are determined and compared through image processing to further control the system interaction. The integration with an evaluation system could promote the education popularity.

Original languageEnglish
Pages (from-to)21-30
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8167 LNCS
Publication statusPublished - 2013
Event12th International Conference on Web-based Learning, ICWL 2013 - Kenting, Taiwan
Duration: 2013 Oct 62013 Oct 9

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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