Negative Emotion Management Using a Smart Shirt and a Robot Assistant
Negative Emotion Management Using a Smart Shirt and a Robot Assistant
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DOI：
10.1109/lra.2021.3067867
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发表时间：
2021-04-01
影响因子：
5.2
通讯作者：
Sheng, Weihua
中科院分区：
文献类型：
--
作者：
Pham, Minh;Do, Ha Manh;Sheng, Weihua
负面影响，如愤怒、恐惧、紧张、抑郁等，可能会增加人类对疾病的易感性。在这封信中，我们提出了一个负性情绪管理系统，能够通过ECG信号识别负性情绪，并通过机器人助手进行情绪调节，这具有降低健康风险的潜力。设计了一种用于采集人体心电信号的智能衬衫。机器人助手能够与人类进行口头对话。递归定量分析（RQA）被用来提取心电特征的情感分类的目的。沿着我们自己的数据集，另外两个公共数据集，RECOLA和DECAF，也被用来评估我们的方法。负面情绪的检测可以触发机器人助手通过交互式对话帮助用户摆脱这种情况。我们通过实验测试和评估所提出的框架。我们还评估了与机器人互动对老年人情感健康的有效性。
Negative affects such as anger, fear, nervousness, depression, etc., may increase human's susceptibility to illness. In this letter, we propose a negative emotion management system that is able to recognize negative emotions through ECG signal and perform emotion regulation through a robot assistant, which has a potential for reducing health risks. A smart shirt is developed to collect the ECG signal from the human body. The robot assistant has the ability to engage in verbal conversations with humans. Recurrence Quantitative Analysis (RQA) is used to extract ECG features for emotion classification purpose. Along with our own dataset, two other public datasets, RECOLA and DECAF, are also used to evaluate our methodology. The detection of negative emotion can trigger the robot assistant to help the user get out of such situations through interactive conversations. We tested and evaluated the proposed framework through experiments. We also assessed the effectiveness of the interactions with the robot on the emotional well-being of older adults.