Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskning

Standard

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. red. / Dylan D Schmorrow; Cali M Fidopiastis. Cham : Springer, 2020. s. 157-175 (Lecture Notes in Computer Science, Bind 12196).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskning

Harvard

Sanz Aznar, J, Aguilar-Paredes, C, Sánchez-Gómez, L, Bruni, LE & Wulff-Abramsson, A 2020, Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments. i DD Schmorrow & CM Fidopiastis (red), Augmented Cognition: Theoretical and Technological Approaches. HCII 2020. Springer, Cham, Lecture Notes in Computer Science, bind 12196, s. 157-175, International Conference on Human-Computer Interaction, Copenhagen, Danmark, 19/07/2020. https://doi.org/10.1007/978-3-030-50353-6_12

APA

Sanz Aznar, J., Aguilar-Paredes, C., Sánchez-Gómez, L., Bruni, L. E., & Wulff-Abramsson, A. (2020). Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments. I D. D. Schmorrow, & C. M. Fidopiastis (red.), Augmented Cognition: Theoretical and Technological Approaches. HCII 2020 (s. 157-175). Springer. Lecture Notes in Computer Science Bind 12196 https://doi.org/10.1007/978-3-030-50353-6_12

Vancouver

Sanz Aznar J, Aguilar-Paredes C, Sánchez-Gómez L, Bruni LE, Wulff-Abramsson A. Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments. I Schmorrow DD, Fidopiastis CM, red., Augmented Cognition: Theoretical and Technological Approaches. HCII 2020. Cham: Springer. 2020. s. 157-175. (Lecture Notes in Computer Science, Bind 12196). https://doi.org/10.1007/978-3-030-50353-6_12

Author

Sanz Aznar, Javier ; Aguilar-Paredes, Carlos ; Sánchez-Gómez, Lydia ; Bruni, Luis Emilio ; Wulff-Abramsson, Andreas. / Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments. Augmented Cognition: Theoretical and Technological Approaches. HCII 2020. red. / Dylan D Schmorrow ; Cali M Fidopiastis. Cham : Springer, 2020. s. 157-175 (Lecture Notes in Computer Science, Bind 12196).

Bibtex

@inproceedings{6ab87df2e2034469b58ad2abca466ef0,
title = "Methodology for detection of ERD/ERS EEG patterns produced by cut events in film fragments",
abstract = "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{\textquoteright}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.",
author = "{Sanz Aznar}, Javier and Carlos Aguilar-Paredes and Lydia S{\'a}nchez-G{\'o}mez and Bruni, {Luis Emilio} and Andreas Wulff-Abramsson",
note = "(Ekstern); International Conference on Human-Computer Interaction, HCII ; Conference date: 19-07-2020 Through 24-07-2020",
year = "2020",
doi = "10.1007/978-3-030-50353-6_12",
language = "English",
isbn = "978-3-030-50352-9",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "157--175",
editor = "Schmorrow, {Dylan D} and Fidopiastis, {Cali M}",
booktitle = "Augmented Cognition",
address = "Switzerland",

}

RIS

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