多用户使用可穿戴设备进行面部表情识别的日常生活体验分析

Katsutoshi Masai, Yuta Itoh, Yuta Sugiura, M. Sugimoto
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引用次数: 1

摘要

在本文中,我们提出了一个可穿戴的面部表情识别系统,可以分析和增强日常体验。我们的目标是通过将设备与日常物品和服务连接起来,在日常生活中创造一种专注的体验。为此,我们制作了两个支持用户保持情绪右侧的原型:1)文本聊天系统,在用户输入的评论末尾自动插入基于其面部表情的表情符号,2)由面部表情控制的植物界面。我们还分析了多个用户玩电子游戏时的面部表情。我们证实,来自设备的传感器数据的可视化显示了估计不同面部表情转换的可能性。
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Analysis of Multiple Users' Experience in Daily Life Using Wearable Device for Facial Expression Recognition
In this paper, we present a wearable facial expression recognition system that can analyse and enhance a daily experience. Our aim is to create a mindful experience in daily life by connecting the device with everyday objects and service. To this end, we made two prototypes that supports users to keep right side of emotions: 1) a text chatting system that automatically inserts an emoticon based on his/her facial expressions in the end of a comment a user typed, 2) a plant interface controlled by facial expressions. We also analysed multiple users' facial expressions while they played video games. We confirmed that visualization of sensor data from the device shows the possibility for estimating the transition of different facial expressions.
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