Improvement of early recognition of gesture patterns based on self-organizing map

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose an approach to achieve early recognition of gesture patterns. Early recognition is a method to recognize sequential patterns at their beginning parts. Therefore, in the case of gesture recognition, we can get a recognition result of human gestures before the gestures have finished. The most difficult problem of early recognition is that when the system determines the recognition result. Most traditional approaches suffer from this problem since the gestures comprehend ambiguity. Especially at the beginning part of them, it is very difficult to determinate the recognition result since enough input data has not been observed yet. Therefore, we have improved traditional approach by using Self-Organizing Map.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages777-780
Number of pages4
Publication statusPublished - 2011
Event16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan
Duration: Jan 27 2011Jan 29 2011

Other

Other16th International Symposium on Artificial Life and Robotics, AROB '11
CountryJapan
CityBeppu, Oita
Period1/27/111/29/11

Fingerprint

Gesture recognition
Self organizing maps

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Shimada, A., Kawashima, M., & Taniguchi, R-I. (2011). Improvement of early recognition of gesture patterns based on self-organizing map. In Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 (pp. 777-780)

Improvement of early recognition of gesture patterns based on self-organizing map. / Shimada, Atsushi; Kawashima, Manabu; Taniguchi, Rin-Ichiro.

Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11. 2011. p. 777-780.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shimada, A, Kawashima, M & Taniguchi, R-I 2011, Improvement of early recognition of gesture patterns based on self-organizing map. in Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11. pp. 777-780, 16th International Symposium on Artificial Life and Robotics, AROB '11, Beppu, Oita, Japan, 1/27/11.
Shimada A, Kawashima M, Taniguchi R-I. Improvement of early recognition of gesture patterns based on self-organizing map. In Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11. 2011. p. 777-780
Shimada, Atsushi ; Kawashima, Manabu ; Taniguchi, Rin-Ichiro. / Improvement of early recognition of gesture patterns based on self-organizing map. Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11. 2011. pp. 777-780
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