Analysis of possibility of virtual reality usage for investigating reaction on given conditions
Marcin Łukasiak
Lublin University of Technology (Poland)
Kamil Machul
Lublin University of Technology (Poland)
Mateusz Maj
mateusz.maj@pollub.edu.plLublin University of Technology (Poland)
Abstract
The study was tend to checking the possibility of using VR technology to invoke specific emotions on the subject. Literature studies have shown a high probability of obtaining successful results, but so far studies have been based on measurements obtained using specialized, expensive equipment. This study was about to show that obtaining similar results is also possible with usage of low budget solutions. Received results allow to conclude even using the less sophisticated technology, satisfactory results can be gained, which can determine the effect of the image displayed in the goggles on the emotions of the subject.
Keywords:
emotions; VR; EEG; pulsReferences
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[4] Alberto Greco -Jaime Guixeres , Carmen Llinares , Enzo Pasquale Scilingo , Mariano Alcañiz , Gaetano Valenza, Javier Marı́n-Morales, Juan Luis Higuera-Trujillo, Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors. Springer Nature, 9 2018.
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[6] D. Napalkov, M. Sosenko, and I. Shestova, Cardiac rhythm as an indicator of normal and pathological adaptation to mental effort. Kybernetes, 24:10–19, 1995.
[7] ] M. Park, H. Oh, H. Jeong, J. Sohn, Eeg-based emotion recogntion during emotionally evocative films. IEEE, 2 2013.
[8] ] S. Cheemalapati, M. Gubanov, M. Del Vale, A. Pyayt, A realtime classification algorithm for emotion detection using portable eeg. IEEE, 8 2013.
[9] N. Hamid, N. Sulaiman, Z. Murat, M. Taib, Brainwaves stress pattern based on perceived stress scale test. IEEE, 8 2015.
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Łukasiak, M., Machul, K., & Maj, M. (2019). Analysis of possibility of virtual reality usage for investigating reaction on given conditions . Journal of Computer Sciences Institute, 12, 179–186. https://doi.org/10.35784/jcsi.435
Authors
Marcin ŁukasiakLublin University of Technology Poland
Authors
Kamil MachulLublin University of Technology Poland
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