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，我们研究了一种可穿戴设备的设计，该设备可以通过生理信号读取积极的面部表情。我们可以在面部一侧的低面部活动区域检测到高振幅的肌电信号，这与传统表面肌电信号在面部前部面部肌肉顶部捕获位置的电极获得的信号相关。基于此分析，我们设计并实现了一种符合人体工程学的高可靠性可穿戴设备。由于信号是远端记录的，因此该装置使用独立分量分析和人工神经网络对其进行分析，从而实现了对面部一侧的高面部表情识别率。通过可穿戴接口设备识别的情绪面部表情可以在治疗干预期间记录下来，并可用于人机交互的新方法。

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.