Abstract
We propose a facial expression mapping technology between virtual avatars and Head-Mounted Display (HMD) users. HMD allow people to enjoy an immersive Virtual Reality (VR) experience. A virtual avatar can be a representative of the user in the virtual environment. However, the synchronization of the the virtual avatar's expressions with those of the HMD user is limited. The major problem of wearing an HMD is that a large portion of the user's face is occluded, making facial recognition difficult in an HMD-based virtual environment. To overcome this problem, we propose a facial expression mapping technology using retro-reflective photoelectric sensors. The sensors attached inside the HMD measures the distance between the sensors and the user's face. The distance values of five basic facial expressions (Neutral, Happy, Angry, Surprised, and Sad) are used for training the neural network to estimate the facial expression of a user. We achieved an overall accuracy of 88% in recognizing the facial expressions. Our system can also reproduce facial expression change in real-time through an existing avatar using regression. Consequently, our system enables estimation and reconstruction of facial expressions that correspond to the user's emotional changes.
Original language | English |
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Title of host publication | 2017 IEEE Virtual Reality, VR 2017 - Proceedings |
Publisher | IEEE Computer Society |
Pages | 177-185 |
Number of pages | 9 |
ISBN (Electronic) | 9781509066476 |
DOIs | |
Publication status | Published - 2017 Apr 4 |
Event | 19th IEEE Virtual Reality, VR 2017 - Los Angeles, United States Duration: 2017 Mar 18 → 2017 Mar 22 |
Other
Other | 19th IEEE Virtual Reality, VR 2017 |
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Country/Territory | United States |
City | Los Angeles |
Period | 17/3/18 → 17/3/22 |
Keywords
- H.5.m. [Information interfaces and presentation (e.g. HCI)]
- Miscellaneous
ASJC Scopus subject areas
- Engineering(all)