“AffectiveWear: Toward Recognizing Facial Expression” by Masai, Sugiura, Ogata, Suzuki, Nakamura, et al. …
Conference:
Type(s):
Entry Number: 04
Title:
- AffectiveWear: Toward Recognizing Facial Expression
Presenter(s):
Description:
Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on camera-based systems installed in the environment. With this method, it is difficult to track user’s face if user moves constantly. Moreover, user’s facial expression can be recognized at only a limited place.
We present the eyewear that can detect facial expression anytime, anywhere (Figure 1 a). This eyewear can categorize 7 facial expressions by measuring the distance between an eyewear frame and a skin surface of a person’s face with 8 photo reflective sensors. Recognizable states are as follows: neutral, smile, laugh, disgust, angry, sad and surprise. With our method, an individual difference can be ignored with user-dependent training. Several works show the wearable systems that can recognize facial expression. Yet, these works focus on detecting only one specific facial expression. Our contribution is detecting 7 facial expression states in daily life. With our device, user can better understand their mind, and computing systems can tap into the rich set of information provided by nonverbal communication.
References:
FUKUMOTO, K., TERADA, T., TSUKAMOTO, M. A Smile /Laughter Recognition Mechanism for Smile-Based Life Logging. In Proceeding of AH 2013, ACM, pp. 213–220.
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Acknowledgements:
This research was supported by CREST, JST.
