Automatic Labeling of Training Data by Vowel Recognition for Mouth Shape Recognition with Optical Sensors Embedded in Head-Mounted Display

Nakamura, Fumihiko; Suzuki, Katsuhiro; Masai, Katsutoshi; Itoh, Yuta; Sugiura, Yuta; Sugimoto, Maki

Automatic Labeling of Training Data by Vowel Recognition for Mouth Shape Recognition with Optical Sensors Embedded in Head-Mounted Display

Files

009-016.pdf (2.98 MB)

Date

2019

Authors

Nakamura, Fumihiko
Suzuki, Katsuhiro
Masai, Katsutoshi
Itoh, Yuta
Sugiura, Yuta
Sugimoto, Maki

Publisher

The Eurographics Association

Abstract

Facial expressions enrich communication via avatars. However, in common immersive virtual reality (VR) systems, facial occlusions by head-mounted displays (HMD) lead to difficulties in capturing users' faces. In particular, the mouth plays an important role in facial expressions because it is essential for rich interaction. In this paper, we propose a technique that classifies mouth shapes into six classes using optical sensors embedded in HMD and gives labels automatically to the training dataset by vowel recognition. We experiment with five subjects to compare the recognition rates of machine learning under manual and automated labeling conditions. Results show that our method achieves average classification accuracy of 99.9% and 96.3% under manual and automated labeling conditions, respectively. These findings indicate that automated labeling is competitive relative to manual labeling, although the former's classification accuracy is slightly higher than that of the latter. Furthermore, we develop an application that reflects the mouth shape on avatars. This application blends six mouth shapes and then applies the blended mouth shapes to avatars.

        @inproceedings{10.2312:egve.20191274
,
booktitle = {ICAT-EGVE 2019 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
},
editor = {Kakehi, Yasuaki and Hiyama, Atsushi
},
title = {{Automatic Labeling of Training Data by Vowel Recognition for Mouth Shape Recognition with Optical Sensors Embedded in Head-Mounted Display
}},
author = {Nakamura, Fumihiko and 
Suzuki, Katsuhiro and 
Masai, Katsutoshi and 
Itoh, Yuta and 
Sugiura, Yuta and 
Sugimoto, Maki
},
year = {2019
},
publisher = {The Eurographics Association
},
ISSN = {1727-530X
},
ISBN = {978-3-03868-083-3
},
DOI = {10.2312/egve.20191274
}
}