Estimation of Human Emotion Using Total-Hemoglobin Data Measured by A Lightweight fNIRS Device

Fukui, Daisuke; Katsura, Takushige; Egi, Masashi; Komoda, Norihisa

doi:10.1541/ieejeiss.141.735

Cited by 1 publication

(3 citation statements)

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“…Functional near infrared spectroscopy (fNIRS), which measures the increase or decrease in hemoglobin (Hb) in blood of the brain based on the absorption rate of NIR light, has been used to estimate pleasant and unpleasant emotions in humans (Fukui, 2021, Yanagisawa, 2015. There is also a method using functional magnetic resonance imaging (fMRI), which measures the increase or decrease in Hb by the change in the magnetic force of deoxygenated Hb.…”

Section: Introductionmentioning

confidence: 99%

“…We previously proposed a method for estimating emotions using a lightweight fNIRS device (Fukui, 2021). Since fNIRS measurement is less affected by noise than EEG measurement, it is more suitable for measuring brain activity of people in their daily lives.…”

Section: Introductionmentioning

confidence: 99%

“…Since fNIRS measurement is less affected by noise than EEG measurement, it is more suitable for measuring brain activity of people in their daily lives. On the basis of the results of a previous study (Fukui, 2021), we evaluated the classification rate of the kNN model, which estimates 20 emotions that are selected based on Russell's circumplex model, by cross-validation (Fukui, 2022). To examine the impact of the activation-deactivation axis in Russell's circumplex model on estimation accuracy, we evaluated the classification rate of the kNN model, which estimates emotions in the four quadrants of Russell's circumplex model (pleasant-activation, pleasant-deactivation, unpleasant-activation, and unpleasant-deactivation).…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Various Human Emotions Using Lightweight Fnirs Device

2022

IJCISIS

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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