Pregled bibliografske jedinice broj: 607918
Mental stress resistance training
Mental stress resistance training // European Science Foundation FENS Conference on the Neurobiology of Emotion
Stresa, Italija, 2012. (poster, međunarodna recenzija, neobjavljeni rad, znanstveni)
CROSBI ID: 607918 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mental stress resistance training
Autori
Ćosić, Krešimir ; Popović, Siniša
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Izvornik
European Science Foundation FENS Conference on the Neurobiology of Emotion
/ - , 2012
Skup
European Science Foundation FENS Conference on the Neurobiology of Emotion
Mjesto i datum
Stresa, Italija, 11.11.2012. - 14.11.2012
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
mental readiness; stimuli generator; emotional state estimator; adaptive stimulation; virtual reality; physiological measurements; voice; facial expressions
(mentalna spremnost; generator stimulacija; estimator emocionalnih stanja; adaptivna stimulacija; virtualna stvarnost; fiziološka mjerenja; glas; izrazi lica)
Sažetak
The poster depicts technological support to mental readiness training for stressful professions, which includes tools that facilitate multimodal emotion elicitation, estimation and regulation. Multiple training sessions involve task-relevant audio-visual stimulation and simultaneous measurement of the trainee’s multimodal physiological, facial and vocal response. Emotional state estimators, based on artificial neural networks and other machine learning methods, process trainee's multimodal response in real time. By using stimuli generation and emotional state estimation capabilities, training instructors can dynamically deliver the most appropriate stimuli during the training session based on the trainee's estimated emotional state. The closed-loop audio-visual adaptive stimulation mechanisms implemented in the system provide additional support to the training instructors. Offline trainee's fMRI data analysis complements real-time multimodal response measurements.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Psihologija
POVEZANOST RADA
Projekti:
036-0000000-2029 - Adaptivno upravljanje scenarijima u VR terapiji PTSP-a (Ćosić, Krešimir, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb