Facial Expression Reading for Describing and Augmenting Interaction

用于描述和增强互动的面部表情解读

• 批准号: 23680009
• 负责人: SUZUKI Kenji
• 金额: $ 17.22万
• 依托单位: University of Tsukuba
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (A)
• 财政年份: 2011
• 资助国家: 日本
• 起止时间: 2011-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23680009/
• 关键词: 表情計測; 人支援技術; 拡張生体技術; 装着型インタフェース; 感性情報処理; 表情計測技術; ウェアラブルインタフェース; 表情筋活動; ソーシャルロボット; 表情識別; 生体電位信号; 広汎性発達障害; 人間型ロボット

In this study, we investigated the design of a wearable device that reads positive facial expressions using physiological signals. We can detect EMG signals with high amplitude on areas of low facial mobility on the side of the face, which are correlated to ones obtained from electrodes on traditional surface EMG capturing positions on top of facial muscles on the front of the face. Based on this analysis, we design and implement an ergonomic wearable device with high reliability. Because the signals are recorded distally, the proposed device uses Independent Component Analysis and an Artificial Neural Network to analyze them and achieve a high facial expression recognition rate on the side of the face. The recognized emotional facial expressions through the wearable interface device can be recorded during therapeutic interventions and can be used for a novel method of human robot interaction.

在这项研究中，我们研究了使用生理信号读取正面表情的可穿戴设备的设计。我们可以检测到面部侧面较低面部迁移率的区域高振幅的EMG信号，这与从传统表面EMG上的电极获得的emg信号相关，该电极在面部前面的面部肌肉顶部捕获了位置。基于此分析，我们设计和实施具有高可靠性的符合人体工程学的可穿戴设备。由于信号是远端记录的，因此提出的设备使用独立的组件分析和人工神经网络来分析它们并在面部侧面实现高面部表达识别率。可以在治疗性干预期间记录通过可穿戴界面设备的公认的情绪表情，可用于新型的人类机器人相互作用。

项目成果

Quantitative Analysis of Positive Facial Expressions of Children with Autism Spectrum Disorder using a Wearable Device that Captures Distal EMG

使用捕获远端肌电图的可穿戴设备对自闭症谱系障碍儿童的积极面部表情进行定量分析

• 作者: Gruebler;A.;Funahashi A.;Kadone;H.;Aoki;T.;Suzuki;K.
• 通讯作者: K.

Analysis of social smile sharing using a wearable device that captures distal electromyographic signals

使用捕获远端肌电信号的可穿戴设备分析社交微笑共享

• DOI: 10.1109/est.2012.38
• 发表时间: 2012
• 期刊: Proc. of 3rd Int. Conf. on Emerging Security Technologies
• 作者: Gruebler;A.;Suzuki;K.
• 通讯作者: K.

On the Analysis of Eye-Contact of Children with Autism Spectrum Disorders in Robot-Assisted Activities

机器人辅助活动中自闭症谱系障碍儿童眼神接触分析

• 作者: Hirokawa;M.;Funahashi;A.;Suzuki;K.
• 通讯作者: K.

行動と情動の理解を目指す行動科学とリハビリテーション応用

旨在理解行为和情绪的行为科学和康复应用

• 发表时间: 2013
• 作者: Yoshimasa Ishi;Tomoya Kawakami;Tomoki Yoshihisa;Yuuichi Teranishi;高田裕樹,多門良,高崎正也,水野毅;Tomoki Yoshihisa;鈴木健嗣;Masaya Takasaki;Tomoki Yoshihisa;鈴木健嗣
• 通讯作者: 鈴木健嗣

Kinematic and Physiological Cues for Human System Interaction

人体系统相互作用的运动学和生理学线索

• 发表时间: 2011
• 作者: Suzuki;K.;Kadone;H.;and Gruebler;A.
• 通讯作者: A.