[论文]基于多生物信息的多模态应力估计:迈向更精确和详细的应力估计

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC ITE Transactions on Media Technology and Applications Pub Date : 2021-01-01 DOI:10.3169/mta.9.276
Takumi Nagasawa, Ryo Takahashi, Keiko Ogawa-Ochiai, N. Tsumura
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引用次数: 0

摘要

研究了使用相机的应力估计方法,其中包括以面部和皮肤视频的形式捕获生物信息。在本文中,我们提出了一种利用从红绿蓝(RGB)面部视频中获得的多生物信息来估计应激水平的方法。评估压力最常用的方法是问卷调查,这种方法既不客观也不准确。为了更准确地估计应力水平,需要建立客观准确的信息估计方法。近年来,人们提出了许多利用生物信息的方法。在这项研究中,我们使用了三种类型的生物信息来估计压力:脉冲速率变异性、眨眼频率和瞳孔大小,这些信息是用RGB相机捕获的。结果表明,这些生物信号的使用提高了应力估计的准确性。此外,以多模态方式使用生物信息可以进行最准确和详细的应力估计。
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[Paper] Multimodal Stress Estimation Using Multibiological Information: Towards More Accurate and Detailed Stress Estimation
stress estimation methods using camera have been investigated, which involve capturing biological information in the form of facial and skin videos. Specific biological information that can be Abstract In this paper, we propose a method for estimating stress levels using multibiological information obtained from red-green-blue (RGB) facial videos. The most popular method for estimating stress is by questionnaire, which is not highly objective or accurate. To estimate stress levels more accurately, it is desirable to establish the method which can estimate with objective and accurate information. In recent years, many methods for using biological information have been proposed. In this study, we used three types of biological information to estimate stress: pulse rate variability, blink rate, and pupil size, which were captured using an RGB camera. Results showed that the use of these biological signals improved the accuracy of stress estimation. Moreover, using biological information in a multimodal manner enabled the most accurate and detailed stress estimation.
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来源期刊
ITE Transactions on Media Technology and Applications
ITE Transactions on Media Technology and Applications ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
1.70
自引率
0.00%
发文量
9
期刊介绍: ・Multimedia systems and applications ・Multimedia analysis and processing ・Universal services ・Advanced broadcasting media ・Broadcasting network technology ・Contents production ・CG and multimedia representation ・Consumer Electronics ・3D imaging technology ・Human Information ・Image sensing ・Information display ・Multimedia Storage ・Others.
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