Predicting Continuous Stress Ratings Of Multiple Labellers From Physiological Signals

被引：0

作者：

Hoenig, F. ^{[1
]}

Batliner, A. ^{[1
]}

Eskofier, B. ^{[1
]}

Noeth, E. ^{[1
]}

机构：

[1] Univ Erlangen Nurnberg, Inst Pattern Recognit, Erlangen, Germany

来源：

ANALYSIS OF BIOMEDICAL SIGNALS AND IMAGES | 2008年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper, we study means of estimating a person's current stress level from physiological signals. Generic, data-driven features are extracted from multiple channels and used to predict a continuous stress level with regression techniques. Allowing for temporary signal corruption by artefacts, our approach can handle a variable number of input channels. Additionally, methods for estimating the reaction time of the system are proposed. The evaluation of the approach with reference annotations of three labellers shows promising results.

引用

页码：363 / 368

页数：6

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