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An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.
Bălan O, Moise G, Moldoveanu A, Leordeanu M, Moldoveanu F. Bălan O, et al. 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 …