Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments
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Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments. / Sanz Aznar, Javier; Aguilar-Paredes, Carlos; Sánchez-Gómez, Lydia; Bruni, Luis Emilio; Wulff-Abramsson, Andreas.
Augmented Cognition: Theoretical and Technological Approaches. HCII 2020. ed. / Dylan D Schmorrow; Cali M Fidopiastis. Cham : Springer, 2020. p. 157-175 (Lecture Notes in Computer Science, Vol. 12196).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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TY - GEN
T1 - Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments
AU - Sanz Aznar, Javier
AU - Aguilar-Paredes, Carlos
AU - Sánchez-Gómez, Lydia
AU - Bruni, Luis Emilio
AU - Wulff-Abramsson, Andreas
N1 - Conference code: 22
PY - 2020
Y1 - 2020
N2 - The goal of this communication is to create a framework to isolate the neural reactions registered through EEG as a consequence of a specific input, among all those caused by an audiovisual. In order to do that, we analysed the neuronal register of the power change reactions related to specific cinematographic techniques, in this case the shot change by cut.To research the shot change by cut through the neuronal record, one could use ad hoc audiovisual material specifically made for the experiment were the inputs are artificially introduced, or one could work with commercial cinematographic material, in order to have a more ecological approach For the latter approach, a more complex signal analysis process is needed because in the neuronal register the cut reactions are difficult to isolate.For this experiment we used the EEG records of 21 subjects watching fragments extracted from 4 feature films that represent different styles and technical approaches. From the 21 user’s records we created a model signal for each film and compared the power change between the different model signals of each films through permutations test, Spearman correlation and analysis of slopes. Through an automated process with sliding time windows, we were able to locate those temporal lapses, electrodes and frequency bands that show reactions to the shot change by cut in the power change that have synchronous reactions in all the model signals. We also located the neuronal reactions that suppose representative variations in the ERD/ERS due to the cut input.
AB - The goal of this communication is to create a framework to isolate the neural reactions registered through EEG as a consequence of a specific input, among all those caused by an audiovisual. In order to do that, we analysed the neuronal register of the power change reactions related to specific cinematographic techniques, in this case the shot change by cut.To research the shot change by cut through the neuronal record, one could use ad hoc audiovisual material specifically made for the experiment were the inputs are artificially introduced, or one could work with commercial cinematographic material, in order to have a more ecological approach For the latter approach, a more complex signal analysis process is needed because in the neuronal register the cut reactions are difficult to isolate.For this experiment we used the EEG records of 21 subjects watching fragments extracted from 4 feature films that represent different styles and technical approaches. From the 21 user’s records we created a model signal for each film and compared the power change between the different model signals of each films through permutations test, Spearman correlation and analysis of slopes. Through an automated process with sliding time windows, we were able to locate those temporal lapses, electrodes and frequency bands that show reactions to the shot change by cut in the power change that have synchronous reactions in all the model signals. We also located the neuronal reactions that suppose representative variations in the ERD/ERS due to the cut input.
U2 - 10.1007/978-3-030-50353-6_12
DO - 10.1007/978-3-030-50353-6_12
M3 - Article in proceedings
SN - 978-3-030-50352-9
T3 - Lecture Notes in Computer Science
SP - 157
EP - 175
BT - Augmented Cognition
A2 - Schmorrow, Dylan D
A2 - Fidopiastis, Cali M
PB - Springer
CY - Cham
T2 - International Conference on Human-Computer Interaction
Y2 - 19 July 2020 through 24 July 2020
ER -
ID: 315538796