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Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors.

Choi JS, Bang JW, Heo H, Park KR - Sensors (Basel) (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. jjongssuk@dgu.edu.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Comparison of delta and beta waves before and after watching a horror movie. (a) Change in delta waves; (b) change in beta waves; (c) change in the ratio of delta to beta waves.
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sensors-15-17507-f008: Comparison of delta and beta waves before and after watching a horror movie. (a) Change in delta waves; (b) change in beta waves; (c) change in the ratio of delta to beta waves.

Mentions: In general, brain waves can be classified into several bands: delta waves (0.5–4 Hz), theta waves (4–8 Hz), alpha waves (8–13 Hz) and beta waves (>13 Hz) [16]. The delta wave is slower than alpha and beta waves, whereas the beta wave is faster than delta and alpha waves. Fear has previously been analyzed using the ratio of slow waves (delta waves) to fast waves (beta waves) from EEG data [16,17,18,19]. In addition, other various emotions were analyzed using the ratio of slow waves (delta waves) to fast waves (beta waves) [29,30,31]. Using this criterion, we analyzed the power ratio of delta band (0.5–4 Hz) to beta band (>13 Hz) from the EEG data to measure the fear emotion. Figure 8 shows the change of amplitude of delta and beta waves (at the O1 electrode) before (“PRE_Delta” and “PRE_Beta”) and after (“POST_Delta” and “POST_Beta”) watching the horror movie. As shown in Figure 8, because POST_Delta is less than PRE_Delta and POST_Beta greater than PRE_Beta, we can estimate that the power ratio of the delta band to the beta band decreases after watching the horror movie.


Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors.

Choi JS, Bang JW, Heo H, Park KR - Sensors (Basel) (2015)

Comparison of delta and beta waves before and after watching a horror movie. (a) Change in delta waves; (b) change in beta waves; (c) change in the ratio of delta to beta waves.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541947&req=5

sensors-15-17507-f008: Comparison of delta and beta waves before and after watching a horror movie. (a) Change in delta waves; (b) change in beta waves; (c) change in the ratio of delta to beta waves.
Mentions: In general, brain waves can be classified into several bands: delta waves (0.5–4 Hz), theta waves (4–8 Hz), alpha waves (8–13 Hz) and beta waves (>13 Hz) [16]. The delta wave is slower than alpha and beta waves, whereas the beta wave is faster than delta and alpha waves. Fear has previously been analyzed using the ratio of slow waves (delta waves) to fast waves (beta waves) from EEG data [16,17,18,19]. In addition, other various emotions were analyzed using the ratio of slow waves (delta waves) to fast waves (beta waves) [29,30,31]. Using this criterion, we analyzed the power ratio of delta band (0.5–4 Hz) to beta band (>13 Hz) from the EEG data to measure the fear emotion. Figure 8 shows the change of amplitude of delta and beta waves (at the O1 electrode) before (“PRE_Delta” and “PRE_Beta”) and after (“POST_Delta” and “POST_Beta”) watching the horror movie. As shown in Figure 8, because POST_Delta is less than PRE_Delta and POST_Beta greater than PRE_Beta, we can estimate that the power ratio of the delta band to the beta band decreases after watching the horror movie.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. jjongssuk@dgu.edu.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus