On the Necessity and Feasibility of Detecting a Driver's Emotional State While Driving

机译：论驾驶时检测驾驶员情绪状态的必要性和可行性

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This paper brings together two important aspects of the human-machine interaction in cars: the psychological aspect and the engineering aspect. The psychologically motivated part of this study addresses questions such as why it is important to automatically assess the driver's affective state, which states are important and how a machine's response should look like. The engineering part studies how the emotional state of a driver can be estimated by extracting acoustic features from the speech signal and mapping them to an emotion state in a multidimensional, continuous-valued emotion space. Such a feasibility study is performed in an experiment in which spontaneous, authentic emotional utterances are superimposed by car noise of several car types and various road surfaces.

机译：本文汇集了汽车中人机交互的两个重要方面：心理方面和工程方面。该研究的心理动机部分解决了一些问题，例如为什么自动评估驾驶员的情感状态很重要，哪些状态很重要以及机器的响应应如何。工程部分研究如何通过从语音信号中提取声学特征并将其映射到多维，连续值的情感空间中的情感状态来估算驾驶员的情感状态。这样的可行性研究是在一项实验中进行的，在该实验中，自发的，真实的情感话语被几种汽车类型和各种路面的汽车噪音所叠加。

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来源
《International Conference on Affective Computing and Intelligent Interaction(ACII 2007); 20070912-14; Lisbon(PT)》|2007年|P.126-138|共13页
会议地点 Lisbon(PT)
作者
Michael Grimm; Kristian Kroschel; Helen Harris; Clifford Nass; Bjoern Schuller; Gerhard Rigoll; Tobias Moosmayr;
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作者单位

Universitaet Karlsruhe (TH), Institut fuer Nachrichtentechnik, 76128 Karlsruhe, Germany;

Stanford University, Department of Communication, Stanford, CA 94305-2050, USA;

Technische Universitaet Muenchen, Institute for Human-Machine Communication, 80290 Mu;

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正文语种 eng
中图分类信息处理（信息加工）;
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On the Necessity and Feasibility of Detecting a Driver's Emotional State While Driving

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