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

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 con...

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Autores principales: Nikolopoulos, Spiros, Petrantonakis, Panagiotis C., Georgiadis, Kostas, Kalaganis, Fotis, Liaros, Georgios, Lazarou, Ioulietta, Adam, Katerina, Papazoglou-Chalikias, Anastasios, Chatzilari, Elisavet, Oikonomou, Vangelis P., Kumar, Chandan, Menges, Raphael, Staab, Steffen, Müller, Daniel, Sengupta, Korok, Bostantjopoulou, Sevasti, Katsarou, Zoe, Zeilig, Gabi, Plotnik, Meir, Gotlieb, Amihai, Kizoni, Racheli, Fountoukidou, Sofia, Ham, Jaap, Athanasiou, Dimitrios, Mariakaki, Agnes, Comanducci, Dario, Sabatini, Edoardo, Nistico, Walter, Plank, Markus, Kompatsiaris, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5709300/
https://www.ncbi.nlm.nih.gov/pubmed/29204464
http://dx.doi.org/10.1016/j.dib.2017.10.072
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author Nikolopoulos, Spiros
Petrantonakis, Panagiotis C.
Georgiadis, Kostas
Kalaganis, Fotis
Liaros, Georgios
Lazarou, Ioulietta
Adam, Katerina
Papazoglou-Chalikias, Anastasios
Chatzilari, Elisavet
Oikonomou, Vangelis P.
Kumar, Chandan
Menges, Raphael
Staab, Steffen
Müller, Daniel
Sengupta, Korok
Bostantjopoulou, Sevasti
Katsarou, Zoe
Zeilig, Gabi
Plotnik, Meir
Gotlieb, Amihai
Kizoni, Racheli
Fountoukidou, Sofia
Ham, Jaap
Athanasiou, Dimitrios
Mariakaki, Agnes
Comanducci, Dario
Sabatini, Edoardo
Nistico, Walter
Plank, Markus
Kompatsiaris, Ioannis
author_facet Nikolopoulos, Spiros
Petrantonakis, Panagiotis C.
Georgiadis, Kostas
Kalaganis, Fotis
Liaros, Georgios
Lazarou, Ioulietta
Adam, Katerina
Papazoglou-Chalikias, Anastasios
Chatzilari, Elisavet
Oikonomou, Vangelis P.
Kumar, Chandan
Menges, Raphael
Staab, Steffen
Müller, Daniel
Sengupta, Korok
Bostantjopoulou, Sevasti
Katsarou, Zoe
Zeilig, Gabi
Plotnik, Meir
Gotlieb, Amihai
Kizoni, Racheli
Fountoukidou, Sofia
Ham, Jaap
Athanasiou, Dimitrios
Mariakaki, Agnes
Comanducci, Dario
Sabatini, Edoardo
Nistico, Walter
Plank, Markus
Kompatsiaris, Ioannis
author_sort Nikolopoulos, Spiros
collection PubMed
description 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.
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spelling pubmed-57093002017-12-04 A multimodal dataset for authoring and editing multimedia content: The MAMEM project Nikolopoulos, Spiros Petrantonakis, Panagiotis C. Georgiadis, Kostas Kalaganis, Fotis Liaros, Georgios Lazarou, Ioulietta Adam, Katerina Papazoglou-Chalikias, Anastasios Chatzilari, Elisavet Oikonomou, Vangelis P. Kumar, Chandan Menges, Raphael Staab, Steffen Müller, Daniel Sengupta, Korok Bostantjopoulou, Sevasti Katsarou, Zoe Zeilig, Gabi Plotnik, Meir Gotlieb, Amihai Kizoni, Racheli Fountoukidou, Sofia Ham, Jaap Athanasiou, Dimitrios Mariakaki, Agnes Comanducci, Dario Sabatini, Edoardo Nistico, Walter Plank, Markus Kompatsiaris, Ioannis Data Brief Computer Sciences 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. Elsevier 2017-11-03 /pmc/articles/PMC5709300/ /pubmed/29204464 http://dx.doi.org/10.1016/j.dib.2017.10.072 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Sciences
Nikolopoulos, Spiros
Petrantonakis, Panagiotis C.
Georgiadis, Kostas
Kalaganis, Fotis
Liaros, Georgios
Lazarou, Ioulietta
Adam, Katerina
Papazoglou-Chalikias, Anastasios
Chatzilari, Elisavet
Oikonomou, Vangelis P.
Kumar, Chandan
Menges, Raphael
Staab, Steffen
Müller, Daniel
Sengupta, Korok
Bostantjopoulou, Sevasti
Katsarou, Zoe
Zeilig, Gabi
Plotnik, Meir
Gotlieb, Amihai
Kizoni, Racheli
Fountoukidou, Sofia
Ham, Jaap
Athanasiou, Dimitrios
Mariakaki, Agnes
Comanducci, Dario
Sabatini, Edoardo
Nistico, Walter
Plank, Markus
Kompatsiaris, Ioannis
A multimodal dataset for authoring and editing multimedia content: The MAMEM project
title A multimodal dataset for authoring and editing multimedia content: The MAMEM project
title_full A multimodal dataset for authoring and editing multimedia content: The MAMEM project
title_fullStr A multimodal dataset for authoring and editing multimedia content: The MAMEM project
title_full_unstemmed A multimodal dataset for authoring and editing multimedia content: The MAMEM project
title_short A multimodal dataset for authoring and editing multimedia content: The MAMEM project
title_sort multimodal dataset for authoring and editing multimedia content: the mamem project
topic Computer Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5709300/
https://www.ncbi.nlm.nih.gov/pubmed/29204464
http://dx.doi.org/10.1016/j.dib.2017.10.072
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