An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy

scientific article published on 15 January 2020

An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/sensors/BalanMMLM20
P356DOI10.3390/S20020496
P932PMC publication ID7013944
P698PubMed publication ID31952289

P50authorOana BălanQ92733822
Gabriela MoiseQ92733829
P2093author name stringAlin Moldoveanu
Florica Moldoveanu
Marius Leordeanu
P2860cites workElectrophysiological ratio markers for the balance between reward and punishmentQ48489545
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Pan-Cultural Elements in Facial Displays of EmotionQ46712302
Virtual reality treatment versus exposure in vivo: a comparative evaluation in acrophobiaQ47317533
Basic emotions are associated with distinct patterns of cardiorespiratory activityQ47649143
EEG theta/beta ratio in relation to fear-modulated response-inhibition, attentional control, and affective traitsQ48248342
Voluntary facial expression and hemispheric asymmetry over the frontal cortexQ48484189
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P4510describes a project that usesscikit-learnQ1026367
P433issue2
P921main subjectdeep learningQ197536
P577publication date2020-01-15
P1433published inSensorsQ3478643
P1476titleAn Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy
P478volume20