Detailed Information
Cited 0 time in 
Cited 1 time in 
Cited 1 time in
Metadata Downloads
A Pleliminary Study on Human Chewing Action Counter
- Authors
- Yang, Hyun-Mo; Son, Yunsik; Cho, Young-One; Jung, Jin-Woo
- Issue Date
- 2-Apr-2018
- Publisher
- IEEE
- Keywords
- chewing action recognition; haar cascade classifier; mouth compactness; finite state automata
- Citation
- 2018 SECOND IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC), v.2018-January, pp 334 - 338
- Pages
- 5
- Indexed
- SCOPUS
- Journal Title
- 2018 SECOND IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC)
- Volume
- 2018-January
- Start Page
- 334
- End Page
- 338
- Abstract
- This paper deals with a novel method which can estimate the occurrence number of human chewing actions by the help of image processing technique. At first, the user's mouth is recognized by the help of Haar cascade classifiers for human face and mouth. And then, this mouth image is processed with our proposed algorithm which can counter the occurrence number of human chewing action and can also reset the counter by confirming the mouth openness for new meal consumption. The experimental results show that it can be applied to improve chewing habits for kids.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Son, Yun Sik
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)