A multimodal dataset for authoring and editing multimedia content: the MAMEM project

S. Nikolopoulos; P.C. Petrantonakis; K. Georgiadis; F. Kalaganis; G. Liaros; I. Lazarou; K. Adam; A. Papazoglou-Chalikias; E. Chatzilari; V.P. Oikonomou; C. Kumar; R. Menges; S. Staab; D. Müller; K. Sengupta; S. Bostantjopoulou; Z. Katsarou; G. Zeilig; M. Plotnik; A. Gotlieb; R. Kizoni; S. Fountoukidou; J.R.C. Ham; D. Athanasiou; A. Mariakaki; D. Comanducci; E. Sabatini; W. Nistico; M. Plank; I. Kompatsiaris

doi:10.1016/j.dib.2017.10.072

A multimodal dataset for authoring and editing multimedia content: the MAMEM project

S. Nikolopoulos, P.C. Petrantonakis, K. Georgiadis, F. Kalaganis, G. Liaros, I. Lazarou, K. Adam, A. Papazoglou-Chalikias, E. Chatzilari, V.P. Oikonomou, C. Kumar, R. Menges, S. Staab, D. Müller, K. Sengupta, S. Bostantjopoulou, Z. Katsarou, G. Zeilig, M. Plotnik, A. GotliebR. Kizoni, S. Fountoukidou, J.R.C. Ham, D. Athanasiou, A. Mariakaki, D. Comanducci, E. Sabatini, W. Nistico, M. Plank, I. Kompatsiaris

Human Technology Interaction

Research output: Contribution to journal › Article › Academic › peer-review

12 Citations (Scopus)

454 Downloads (Pure)

Abstract

We present a dataset that combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities with the ability to edit and author multimedia content through mental commands and gaze activity. The dataset includes EEG, eye-tracking, and physiological (GSR and Heart rate) signals collected from 34 individuals (18 able-bodied and 16 motor-impaired). Data were collected during the interaction with specifically designed interface for web browsing and multimedia content manipulation and during imaginary movement tasks. The presented dataset will contribute towards the development and evaluation of modern human-computer interaction systems that would foster the integration of people with severe motor impairments back into society.

Original language	English
Pages (from-to)	1048-1056
Number of pages	9
Journal	Data in Brief
Volume	15
DOIs	https://doi.org/10.1016/j.dib.2017.10.072
Publication status	Published - 1 Dec 2017

Access to Document

10.1016/j.dib.2017.10.072

Publishers versionFinal published version, 776 KBLicence: CC BY

Cite this

Nikolopoulos, S., Petrantonakis, P. C., Georgiadis, K., Kalaganis, F., Liaros, G., Lazarou, I., Adam, K., Papazoglou-Chalikias, A., Chatzilari, E., Oikonomou, V. P., Kumar, C., Menges, R., Staab, S., Müller, D., Sengupta, K., Bostantjopoulou, S., Katsarou, Z., Zeilig, G., Plotnik, M., ... Kompatsiaris, I. (2017). A multimodal dataset for authoring and editing multimedia content: the MAMEM project. Data in Brief, 15, 1048-1056. https://doi.org/10.1016/j.dib.2017.10.072

@article{a1c69dd624804ed5bfe01651d0125d32,

title = "A multimodal dataset for authoring and editing multimedia content: the MAMEM project",

abstract = "We present a dataset that combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities with the ability to edit and author multimedia content through mental commands and gaze activity. The dataset includes EEG, eye-tracking, and physiological (GSR and Heart rate) signals collected from 34 individuals (18 able-bodied and 16 motor-impaired). Data were collected during the interaction with specifically designed interface for web browsing and multimedia content manipulation and during imaginary movement tasks. The presented dataset will contribute towards the development and evaluation of modern human-computer interaction systems that would foster the integration of people with severe motor impairments back into society.",

author = "S. Nikolopoulos and P.C. Petrantonakis and K. Georgiadis and F. Kalaganis and G. Liaros and I. Lazarou and K. Adam and A. Papazoglou-Chalikias and E. Chatzilari and V.P. Oikonomou and C. Kumar and R. Menges and S. Staab and D. M{\"u}ller and K. Sengupta and S. Bostantjopoulou and Z. Katsarou and G. Zeilig and M. Plotnik and A. Gotlieb and R. Kizoni and S. Fountoukidou and J.R.C. Ham and D. Athanasiou and A. Mariakaki and D. Comanducci and E. Sabatini and W. Nistico and M. Plank and I. Kompatsiaris",

year = "2017",

month = dec,

day = "1",

doi = "10.1016/j.dib.2017.10.072",

language = "English",

volume = "15",

pages = "1048--1056",

journal = "Data in Brief",

issn = "2352-3409",

publisher = "Elsevier",

}

Nikolopoulos, S, Petrantonakis, PC, Georgiadis, K, Kalaganis, F, Liaros, G, Lazarou, I, Adam, K, Papazoglou-Chalikias, A, Chatzilari, E, Oikonomou, VP, Kumar, C, Menges, R, Staab, S, Müller, D, Sengupta, K, Bostantjopoulou, S, Katsarou, Z, Zeilig, G, Plotnik, M, Gotlieb, A, Kizoni, R, Fountoukidou, S, Ham, JRC, Athanasiou, D, Mariakaki, A, Comanducci, D, Sabatini, E, Nistico, W, Plank, M & Kompatsiaris, I 2017, 'A multimodal dataset for authoring and editing multimedia content: the MAMEM project', Data in Brief, vol. 15, pp. 1048-1056. https://doi.org/10.1016/j.dib.2017.10.072

TY - JOUR

T1 - A multimodal dataset for authoring and editing multimedia content

T2 - the MAMEM project

AU - Nikolopoulos, S.

AU - Petrantonakis, P.C.

AU - Georgiadis, K.

AU - Kalaganis, F.

AU - Liaros, G.

AU - Lazarou, I.

AU - Adam, K.

AU - Papazoglou-Chalikias, A.

AU - Chatzilari, E.

AU - Oikonomou, V.P.

AU - Kumar, C.

AU - Menges, R.

AU - Staab, S.

AU - Müller, D.

AU - Sengupta, K.

AU - Bostantjopoulou, S.

AU - Katsarou, Z.

AU - Zeilig, G.

AU - Plotnik, M.

AU - Gotlieb, A.

AU - Kizoni, R.

AU - Fountoukidou, S.

AU - Ham, J.R.C.

AU - Athanasiou, D.

AU - Mariakaki, A.

AU - Comanducci, D.

AU - Sabatini, E.

AU - Nistico, W.

AU - Plank, M.

AU - Kompatsiaris, I.

PY - 2017/12/1

Y1 - 2017/12/1

N2 - We present a dataset that combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities with the ability to edit and author multimedia content through mental commands and gaze activity. The dataset includes EEG, eye-tracking, and physiological (GSR and Heart rate) signals collected from 34 individuals (18 able-bodied and 16 motor-impaired). Data were collected during the interaction with specifically designed interface for web browsing and multimedia content manipulation and during imaginary movement tasks. The presented dataset will contribute towards the development and evaluation of modern human-computer interaction systems that would foster the integration of people with severe motor impairments back into society.

AB - We present a dataset that combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities with the ability to edit and author multimedia content through mental commands and gaze activity. The dataset includes EEG, eye-tracking, and physiological (GSR and Heart rate) signals collected from 34 individuals (18 able-bodied and 16 motor-impaired). Data were collected during the interaction with specifically designed interface for web browsing and multimedia content manipulation and during imaginary movement tasks. The presented dataset will contribute towards the development and evaluation of modern human-computer interaction systems that would foster the integration of people with severe motor impairments back into society.

UR - http://www.scopus.com/inward/record.url?scp=85034082151&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2017.10.072

DO - 10.1016/j.dib.2017.10.072

M3 - Article

C2 - 29204464

AN - SCOPUS:85034082151

SN - 2352-3409

VL - 15

SP - 1048

EP - 1056

JO - Data in Brief

JF - Data in Brief

ER -

A multimodal dataset for authoring and editing multimedia content: the MAMEM project

Abstract

Access to Document

Other files and links

Fingerprint

Cite this