使用轻量级的fnirs设备估计各种人类情绪

IF 0.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
D. Fukui, T. Katsura, M. Egi, N. Komoda, T. Ohkawa
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引用次数: 0

摘要

我们之前提出了一种估算愉快和不愉快情绪的高精度方法,仅使用轻量级功能近红外光谱设备测量的总血红蛋白数据。在本研究中,我们使用该方法评估了在Russell 's circumplex模型中选择作为均匀分布情绪的20种情绪的估计准确性。我们首先将20种情绪类型分为四组,分别对应Russell 's circumplex模型的四个象限,并评估每个象限的估计精度。结果表明,当情绪被强烈唤起时,激活象限的估计准确率较高,愉快激活象限的回忆率为76.7%,不愉快激活象限的回忆率为72.2%。然后,我们分别评估了20种情绪的估计准确性。结果表明,“兴奋”和“昏睡”的估计准确率较高,“兴奋”和“昏睡”的回忆率分别为73.3%和61.5%,当情绪被强烈唤起时,“兴奋”的回忆率提高到80%。本研究结果表明,Russell’s circumplex模型中激活象限所包含的情绪越强烈,分类越准确。无论情绪唤起的程度如何,“兴奋”和“昏睡”的估计都具有较高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ESTIMATION OF VARIOUS HUMAN EMOTIONS USING LIGHTWEIGHT FNIRS DEVICE
We previously proposed a method for estimating pleasant and unpleasant emotions with high accuracy using only total hemoglobin data measured with a lightweight functional near infrared spectroscopy device. In this study, we used the method to evaluate the accuracy of estimating 20 types of emotions selected as uniformly distributed emotions in Russell’s circumplex model. We first divided the 20 types of emotions into four groups, corresponding to the four quadrants of Russell’s circumplex model and evaluated the estimation accuracy of each quadrant. The results indicate that the activation quadrant was estimated with high accuracy when the emotion was strongly aroused, with 76.7% recall for the pleasant–activation quadrant and 72.2% recall for the unpleasant–activation quadrant. We then evaluated the estimation accuracy of the 20 emotions individually. The results indicate that “excited” and “lethargic” were estimated with high accuracy, with 73.3% recall for “excited” and 61.5% recall for “lethargic,” and recall of “excited” improved to 80% when the emotion was strongly aroused. The results of this study indicate that the more strongly emotions included in activation quadrant in Russell’s circumplex model are aroused, the more accurately they can be classified. “Excited” and “lethargic” could be estimated with high accuracy regardless of the degree of emotional arousal.
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来源期刊
IADIS-International Journal on Computer Science and Information Systems
IADIS-International Journal on Computer Science and Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
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