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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

Dual (visible-light and thermal) cameras used in our method and their images.
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sensors-15-17507-f003: Dual (visible-light and thermal) cameras used in our method and their images.

Mentions: As shown in Figure 3, we measured facial temperature using dual (visible-light and thermal) cameras. Previous research [22] reported that the heat energy from the human body and face can be observed in medium-wave IR (MWIR) and long-wave IR (LWIR) sub-bands. Therefore, these sub-bands are called thermal sub-bands, and we refer to images in these sub-bands as thermal images. We used a commercial thermal camera (ICI 7320 Pro) [23]. The spectral range of the thermal camera is from 7 to 14 μm, which corresponds to the upper range of MWIR and most of LWIR. The measurement accuracy of the temperature is ±1 °C. The image resolution is 320 × 240 pixels, and each pixel contains 14 bits of data. This camera can measure a temperature range from −20 °C to 100 °C [23]. The field of view (FOV) of the thermal camera is 18° and 14° in the horizontal and vertical directions, respectively.


Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors.

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

Dual (visible-light and thermal) cameras used in our method and their images.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-17507-f003: Dual (visible-light and thermal) cameras used in our method and their images.
Mentions: As shown in Figure 3, we measured facial temperature using dual (visible-light and thermal) cameras. Previous research [22] reported that the heat energy from the human body and face can be observed in medium-wave IR (MWIR) and long-wave IR (LWIR) sub-bands. Therefore, these sub-bands are called thermal sub-bands, and we refer to images in these sub-bands as thermal images. We used a commercial thermal camera (ICI 7320 Pro) [23]. The spectral range of the thermal camera is from 7 to 14 μm, which corresponds to the upper range of MWIR and most of LWIR. The measurement accuracy of the temperature is ±1 °C. The image resolution is 320 × 240 pixels, and each pixel contains 14 bits of data. This camera can measure a temperature range from −20 °C to 100 °C [23]. The field of view (FOV) of the thermal camera is 18° and 14° in the horizontal and vertical directions, respectively.

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