使用多模态传感器的非侵入式测量来评估恐惧。
Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors.
作者信息
Choi Jong-Suk, Bang Jae Won, Heo Hwan, Park Kang Ryoung
机构信息
Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea.
出版信息
Sensors (Basel). 2015 Jul 20;15(7):17507-33. doi: 10.3390/s150717507.
Most previous research into emotion recognition used either a single modality or multiple modalities of physiological signal. However, the former method allows for limited enhancement of accuracy, and the latter has the disadvantages that its performance can be affected by head or body movements. Further, the latter causes inconvenience to the user due to the sensors attached to the body. Among various emotions, the accurate evaluation of fear is crucial in many applications, such as criminal psychology, intelligent surveillance systems and the objective evaluation of horror movies. Therefore, we propose a new method for evaluating fear based on nonintrusive measurements obtained using multiple sensors. Experimental results based on the t-test, the effect size and the sum of all of the correlation values with other modalities showed that facial temperature and subjective evaluation are more reliable than electroencephalogram (EEG) and eye blinking rate for the evaluation of fear.
先前大多数关于情绪识别的研究要么使用单一模态的生理信号，要么使用多模态的生理信号。然而，前一种方法在提高准确率方面效果有限，而后一种方法存在其性能会受到头部或身体运动影响的缺点。此外，后一种方法由于在身体上附着传感器，会给用户带来不便。在各种情绪中，恐惧的准确评估在许多应用中至关重要，如犯罪心理学、智能监控系统以及恐怖电影的客观评价。因此，我们提出了一种基于使用多个传感器进行非侵入式测量来评估恐惧的新方法。基于t检验、效应量以及与其他模态的所有相关值之和的实验结果表明，对于恐惧评估而言，面部温度和主观评价比脑电图（EEG）和眨眼率更可靠。
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