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An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.
Sensors (Basel). 2020 Jan 15;20(2):496. doi: 10.3390/s20020496.
Sensors (Basel). 2020.
PMID: 31952289
Free PMC article.
There are two modalities of expressing fear ratings: the 2-choice scale, where 0 represents relaxation and 1 stands for fear; and the 4-choice scale, with the following correspondence: 0-relaxation, 1-low fear, 2-medium fear and 3-high fear. ...
There are two modalities of expressing fear ratings: the 2-choice scale, where 0 represents relaxation and 1 stands for fear; and the …
Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques.
Bălan O, Moise G, Moldoveanu A, Leordeanu M, Moldoveanu F.
Bălan O, et al.
Sensors (Basel). 2019 Apr 11;19(7):1738. doi: 10.3390/s19071738.
Sensors (Basel). 2019.
PMID: 30978980
Free PMC article.
By dividing the ratings of valence/arousal/dominance emotion dimensions, we propose two paradigms for fear level estimation-the two-level (0-no fear and 1-fear) and the four-level (0-no fear, 1-low fear, 2-medium fear, 3-high fear) paradigms. ...
By dividing the ratings of valence/arousal/dominance emotion dimensions, we propose two paradigms for fear level estimation-the two-level (0 …
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