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Pregled bibliografske jedinice broj: 1023065

MMOD-COG: A Database for Multimodal Cognitive Load Classification


Mijić, Igor; Šarlija, Marko; Petrinović, Davor
MMOD-COG: A Database for Multimodal Cognitive Load Classification // Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Bregović, Robert ; Carli, Marco ; Subašić, Marko (ur.).
Zagreb: University of Zagreb, Croatia, 2019. str. 15-20 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1023065 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
MMOD-COG: A Database for Multimodal Cognitive Load Classification

Autori
Mijić, Igor ; Šarlija, Marko ; Petrinović, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Bregović, Robert ; Carli, Marco ; Subašić, Marko - Zagreb : University of Zagreb, Croatia, 2019, 15-20

ISBN
978-1-7281-3140-5

Skup
2019 11th International Symposium on Image and Signal Processing and Analysis

Mjesto i datum
Dubrovnik, Hrvatska, 23-25.09.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
multimodal classification of cognitive load ; speech responses ; physiological responses

Sažetak
This paper presents a dataset for multimodal classification of cognitive load recorded on a sample of students. The cognitive load was induced by way of performing basic arithmetic tasks, while the multimodal aspect of the dataset comes in the form of both speech and physiological responses to those tasks. The goal of the dataset was two-fold: firstly to provide an alternative to existing cognitive load focused datasets, usually based around Stroop tasks or working memory tasks ; and secondly to implement the cognitive load tasks in a way that would make the responses appropriate for both speech and physiological response analysis, ultimately making it multimodal. The paper also presents preliminary classification benchmarks, in which SVM classifiers were trained and evaluated solely on either speech or physiological signals and on combinations of the two. The multimodal nature of the classifiers may provide improvements on results on this inherently challenging machine learning problem because it provides more data about both the intra- participant and inter-participant differences in how cognitive load manifests itself in affective responses.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)



POVEZANOST RADA


Projekti:
0036054
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )
HRZZ-IP-2014-09-2625 - Iznad Nyquistove granice (BeyondLimit) (Seršić, Damir, HRZZ - 2014-09) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Davor Petrinović (autor)

Avatar Url Marko Šarlija (autor)

Avatar Url Igor Mijić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada www.isispa.org

Citiraj ovu publikaciju:

Mijić, Igor; Šarlija, Marko; Petrinović, Davor
MMOD-COG: A Database for Multimodal Cognitive Load Classification // Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Bregović, Robert ; Carli, Marco ; Subašić, Marko (ur.).
Zagreb: University of Zagreb, Croatia, 2019. str. 15-20 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Mijić, I., Šarlija, M. & Petrinović, D. (2019) MMOD-COG: A Database for Multimodal Cognitive Load Classification. U: Lončarić, S., Bregović, R., Carli, M. & Subašić, M. (ur.)Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis.
@article{article, author = {Miji\'{c}, Igor and \v{S}arlija, Marko and Petrinovi\'{c}, Davor}, year = {2019}, pages = {15-20}, keywords = {multimodal classification of cognitive load, speech responses, physiological responses}, isbn = {978-1-7281-3140-5}, title = {MMOD-COG: A Database for Multimodal Cognitive Load Classification}, keyword = {multimodal classification of cognitive load, speech responses, physiological responses}, publisher = {University of Zagreb, Croatia}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, author = {Miji\'{c}, Igor and \v{S}arlija, Marko and Petrinovi\'{c}, Davor}, year = {2019}, pages = {15-20}, keywords = {multimodal classification of cognitive load, speech responses, physiological responses}, isbn = {978-1-7281-3140-5}, title = {MMOD-COG: A Database for Multimodal Cognitive Load Classification}, keyword = {multimodal classification of cognitive load, speech responses, physiological responses}, publisher = {University of Zagreb, Croatia}, publisherplace = {Dubrovnik, Hrvatska} }




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