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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 subjective evaluation scores before and after watching the horror movie.
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sensors-15-17507-f013: Comparison of subjective evaluation scores before and after watching the horror movie.

Mentions: The average score of the subjective test after watching the horror movie was higher than that before watching the movie, as shown in Figure 13 and Table 4. The statistical analysis was conducted using an independent unequal variance, two-sample t-test [35], which is typically used for hypothesis testing. The calculated p-value from the t-test is 0.000092, which is less than 0.01 (a confidence level of 99%). From that, the -hypothesis (that the subjective evaluation scores are the same before and after watching the horror movie) can be rejected. The two subjective evaluation scores before and after watching the horror movie are significantly different at a confidence level of 99%. In addition, we can confirm that the horror movie used in our experiment is effective for generating fear in the participants.


Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors.

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

Comparison of subjective evaluation scores before and after watching the horror movie.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-17507-f013: Comparison of subjective evaluation scores before and after watching the horror movie.
Mentions: The average score of the subjective test after watching the horror movie was higher than that before watching the movie, as shown in Figure 13 and Table 4. The statistical analysis was conducted using an independent unequal variance, two-sample t-test [35], which is typically used for hypothesis testing. The calculated p-value from the t-test is 0.000092, which is less than 0.01 (a confidence level of 99%). From that, the -hypothesis (that the subjective evaluation scores are the same before and after watching the horror movie) can be rejected. The two subjective evaluation scores before and after watching the horror movie are significantly different at a confidence level of 99%. In addition, we can confirm that the horror movie used in our experiment is effective for generating fear in the participants.

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