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A Hardware/Software Platform to Acquire Bioelectrical Signals. A Case Study: Characterizing Computer Access through Attention

Topics: Assistive Technologies; Augmentative Communication; Biofeedback Technologies; Biomedical Devices for Computer Interaction; Biosignal Acquisition, Analysis and Processing; Brain-Computer Interfaces; Interactive Physiological Systems; Physiology-Driven Computer Interaction; Processing of Multimodal Input

Authors: Alberto J. Molina ; Isabel M. Gómez ; Jaime Guerrero ; Manuel Merino ; Juan A. Castro ; Roylán Quesada ; Santiago Berrazueta and María Hermoso-de-Mendoza

Affiliation: Universidad de Sevilla, Spain

ISBN: 978-989-758-268-4

Keyword(s): Attention, Biofeedback, BCI, HRV, GSR, EDA, SC, Affordable Devices.

Related Ontology Subjects/Areas/Topics: Applications ; Assistive Technologies ; Assistive Technology ; Augmentative Communication ; Biofeedback Technologies ; Biomedical Devices for Computer Interaction ; Biomedical Engineering ; Biomedical Instruments and Devices ; Biosignal Acquisition, Analysis and Processing ; Brain-Computer Interfaces ; Devices ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Interactive Physiological Systems ; Methodologies and Methods ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Physiology-Driven Computer Interaction ; Processing of Multimodal Input ; Software Engineering

Abstract: This paper describes a hardware/software platform to acquire human body signals. In the field of physiological computing it is desirable to have a system that allows the synchronized acquisition of signals coming from different sources. Here is described how to unify the whole process of acquiring signals from both customized hardware and low cost commercial devices such as Neurosky’s mindwave. A case study using this platform is also shown: studying the feasibility of using sustained attention to access a computer. In order to do that brain activity was measured using Neurosky’s mindwave. The participants in this study were asked to keep their attention high/low for as long as possible during several trials. Experimentation was performed by 7 normally developed subjects and 3 people with cerebral palsy (CP). Our preliminary work shows that 60% of participants might be potential users of this technology. Eventually, modulating the attention to access a communication board nee ds a scanning period greater than 5.76s. (More)

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Paper citation in several formats:
Molina A., Gómez I., Guerrero J., Merino M., Castro J., Quesada R., Berrazueta S. and Hermoso-de-Mendoza M. (2017). A Hardware/Software Platform to Acquire Bioelectrical Signals. A Case Study: Characterizing Computer Access through Attention.In Proceedings of the 4th International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-268-4, pages 76-83. DOI: 10.5220/0006412200760083

@conference{phycs17,
author={Alberto J. Molina and Isabel M. Gómez and Jaime Guerrero and Manuel Merino and Juan A. Castro and Roylán Quesada and Santiago Berrazueta and María Hermoso-de-Mendoza},
title={A Hardware/Software Platform to Acquire Bioelectrical Signals. A Case Study: Characterizing Computer Access through Attention},
booktitle={Proceedings of the 4th International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2017},
pages={76-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006412200760083},
isbn={978-989-758-268-4},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - A Hardware/Software Platform to Acquire Bioelectrical Signals. A Case Study: Characterizing Computer Access through Attention
SN - 978-989-758-268-4
AU - Molina A.
AU - Gómez I.
AU - Guerrero J.
AU - Merino M.
AU - Castro J.
AU - Quesada R.
AU - Berrazueta S.
AU - Hermoso-de-Mendoza M.
PY - 2017
SP - 76
EP - 83
DO - 10.5220/0006412200760083

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