Limits...
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

Commercial EEG device and locations of 16 electrodes based on the international 10–20 system. (a) Emotiv EPOC headset; (b) positions of 16 electrodes.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4541947&req=5

sensors-15-17507-f004: Commercial EEG device and locations of 16 electrodes based on the international 10–20 system. (a) Emotiv EPOC headset; (b) positions of 16 electrodes.

Mentions: As shown in Figure 4a, we acquired EEG data using a commercial wireless-headset-type EEG device (Emotiv EPOC [25]). It is inexpensive, and it has 16 noninvasive electrodes. These 16 electrodes are composed of two reference electrodes (common mode sense (CMS) and driven right leg (DRL)) and 14 additional electrodes for acquiring EEG data. The location of the electrodes is based on the international 10–20 system of electrode placement, shown in Figure 4b [26]. The EEG signal is processed by the built-in digital fifth-order Sinc filter; the sampling rate is 128 Hz (128 samples/s) for each electrode. Through normalization, the DC levels of the measured EEG signals are adjusted; the range of the EEG signals is set from −1 to 1 using min-max scaling. The EEG signals are transformed into the frequency domain by a Fourier transform with a window length of 128 samples [27].


Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors.

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

Commercial EEG device and locations of 16 electrodes based on the international 10–20 system. (a) Emotiv EPOC headset; (b) positions of 16 electrodes.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-17507-f004: Commercial EEG device and locations of 16 electrodes based on the international 10–20 system. (a) Emotiv EPOC headset; (b) positions of 16 electrodes.
Mentions: As shown in Figure 4a, we acquired EEG data using a commercial wireless-headset-type EEG device (Emotiv EPOC [25]). It is inexpensive, and it has 16 noninvasive electrodes. These 16 electrodes are composed of two reference electrodes (common mode sense (CMS) and driven right leg (DRL)) and 14 additional electrodes for acquiring EEG data. The location of the electrodes is based on the international 10–20 system of electrode placement, shown in Figure 4b [26]. The EEG signal is processed by the built-in digital fifth-order Sinc filter; the sampling rate is 128 Hz (128 samples/s) for each electrode. Through normalization, the DC levels of the measured EEG signals are adjusted; the range of the EEG signals is set from −1 to 1 using min-max scaling. The EEG signals are transformed into the frequency domain by a Fourier transform with a window length of 128 samples [27].

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