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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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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. |
format | Online Article Text |
id | pubmed-5709300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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