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首页> 外文会议>IAPR TC3 Workshop on pattern recognition of social signals in human-computer-interaction >The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain-and Emotion-Recognition System
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The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain-and Emotion-Recognition System

机译：SenseEmotion数据库：用于疼痛和情感自动识别系统开发和系统验证的多模式数据库

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In our modern industrial society the group of the older (generation 65+) is constantly growing. Many subjects of this group are severely affected by their health and are suffering from disability and pain. The problem with chronic illness and pain is that it lowers the patient's quality of life, and therefore accurate pain assessment is needed to facilitate effective pain management and treatment. In the future, automatic pain monitoring may enable health care professionals to assess and manage pain in a more and more objective way. To this end, the goal of our SenseEmotion project is to develop automatic pain-and emotion-recognition systems for successful assessment and effective personalized management of pain, particularly for the generation 65+. In this paper the recently created SenseEmotion Database for pain- vs. emotion-recognition is presented. Data of 45 healthy subjects is collected to this database. For each subject approximately 30 min of multimodal sensory data has been recorded. For a comprehensive understanding of pain and affect three rather different modalities of data are included in this study: biopotentials, camera images of the facial region, and, for the first time, audio signals. Heat stimulation is applied to elicit pain, and affective image stimuli accompanied by sound stimuli are used for the elicitation of emotional states.
机译：在我们现代的工业社会中，年龄较大（65岁以上）的群体不断增长。该组的许多受试者受到其健康的严重影响，并患有残疾和疼痛。慢性疾病和疼痛的问题在于，它降低了患者的生活质量，因此需要准确的疼痛评估以促进有效的疼痛管理和治疗。将来，自动疼痛监测可以使医疗保健专业人员以越来越客观的方式评估和管理疼痛。为此，我们SenseEmotion项目的目标是开发自动的疼痛和情绪识别系统，以成功评估疼痛并进行有效的个性化疼痛管理，尤其是对于65岁以上的一代。在本文中，介绍了最近创建的用于疼痛与情感识别的SenseEmotion数据库。该数据库收集了45名健康受试者的数据。对于每个受试者，已经记录了大约30分钟的多模态感官数据。为了全面了解疼痛和影响，本研究包括三种相当不同的数据形式：生物电势，面部区域的摄像机图像以及音频信号。施加热刺激引起疼痛，并使用伴有声音刺激的情感图像刺激来引起情绪状态。

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