MUICT MVIT: Measurement of Tongue Motion using Optical Flows on Segmented Areas

Worapan Kusakunniran, Mahidol University
Kittinun Aukkapinyo, Mahidol University
Punyanuch Borwarnginnn, Mahidol University
Thanandon Imaromkul, Mahidol University
Kittikhun Thongkanchorn, Mahidol University
Disathon Wattanadhirach, Mahidol University
Sophon Mongkolluksamee, Srinakharinwirot University
Ratchainant Thammasudjarit, Mahidol University
Panrasee Ritthipravat, Mahidol University
Pimchanok Tuakta, Mahidol University
Paitoon Benjapornlert, Mahidol University

The 2022-14th International Conference on Knowledge and Smart Technology (KST)
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 flow algorithm can produce motion vectors on videos obtained from a commercial camera. This paper proposes a solution that can estimate tongue motion with more practicality and less overhead. An average motion vector can be precisely computed within a region of interest of a tongue.