Measurement of Tongue Motion using Optical Flows on Segmented Areas
Issued Date
2022-01-01
Resource Type
Scopus ID
2-s2.0-85127939554
Journal Title
KST 2022 - 2022 14th International Conference on Knowledge and Smart Technology
Start Page
24
End Page
28
Rights Holder(s)
SCOPUS
Bibliographic Citation
KST 2022 - 2022 14th International Conference on Knowledge and Smart Technology (2022) , 24-28
Suggested Citation
Kusakunniran W., Aukkapinyo K., Borwarnginnn P., Imaromkul T., Thongkanchorn K., Wattanadhirach D., Mongkolluksamee S., Thammasudjarit R., Ritthipravat P., Tuakta P., Benjapornlert P. Measurement of Tongue Motion using Optical Flows on Segmented Areas. KST 2022 - 2022 14th International Conference on Knowledge and Smart Technology (2022) , 24-28. 28. doi:10.1109/KST53302.2022.9729063 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/84402
Title
Measurement of Tongue Motion using Optical Flows on Segmented Areas
Author's Affiliation
Other Contributor(s)
Abstract
A trajectory of the tongue has several benefits in various domains such as articulatory and medical. It allows a user to analyze human speech or diagnose anomaly tongue movement of patients. This research focuses on estimating tongue motion. Most existing solutions apply traditional image processing techniques to a sequence of images to compute motion. Although they can precisely estimate a tongue motion, there are drawbacks to practicality and scalability. It is because of the high cost of medical imaging devices such as magnetic resonance imaging (MRI) and ultrasound scanners. There is also overhead in the preparation of marking on the face of the patient. On the other hand, the optical How algorithm can produce motion vectors on videos obtained from a commercial camera. This paper proposes a solution that can estimate tongue motion with more praetieality and less overhead. An average motion vector can be precisely computed within a region of interest of a tongne.