Communication Technologies Based on Voluntary Blinks: Assessment and Design
Some people with severe disabilities are confined in a state in which communication is virtually impossible, being reduced to communicating with their eyes or using sophisticated systems that translate thoughts into words. The EyeTrackers and Brain-Computer Interfaces (BCIs) are suitable systems for...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8723329/ |
| _version_ | 1819174648278941696 |
|---|---|
| author | Alberto J. Molina-Cantero Clara Lebrato-Vazquez Manuel Merino-Monge Roylan Quesada-Tabares Juan A. Castro-Garcia Isabel M. Gomez-Gonzalez |
| author_facet | Alberto J. Molina-Cantero Clara Lebrato-Vazquez Manuel Merino-Monge Roylan Quesada-Tabares Juan A. Castro-Garcia Isabel M. Gomez-Gonzalez |
| author_sort | Alberto J. Molina-Cantero |
| collection | DOAJ |
| description | Some people with severe disabilities are confined in a state in which communication is virtually impossible, being reduced to communicating with their eyes or using sophisticated systems that translate thoughts into words. The EyeTrackers and Brain-Computer Interfaces (BCIs) are suitable systems for those people but their main drawback is their cost. More affordable devices are capable of detecting voluntary blinks and translating them into a binary signal that allows the selection, for example, of an ideogram on a communication board. We tested four different systems based on infrared, bioelectrical signals (Electro-Oculography (EOG) and Electro-Encephalography (EEG)), and video processing. The experiments were performed by people with/without disabilities and analyzed the systems' performances, usability, and method of voluntary blinking (long blinks or sequence of two short blinks). The best accuracy (99.3%) was obtained using Infrared-Oculography (IR-OG) and the worst with the EEG headset (85.9%) and there was a statistical influence of the technology on accuracy. Regarding the method of voluntary blinking, the use of long or double blinks had no statistical influence on accuracy, excluding EOG, and the time taken to perform double blinks was shorter, resulting in a potentially much faster interface. People with disabilities obtained similar values but with greater variability. The preferred technology and blinking methods were Video-Oculography (VOG) and long blinks, respectively. The several Open-Source Hardware (OSHW) devices have been developed and a new algorithm for detecting voluntary blinks has also been proposed, which outperforms most of the published papers in the reviewed literature. |
| first_indexed | 2024-12-22T20:42:19Z |
| format | Article |
| id | doaj.art-a95e45480828481a92132870311b1f55 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:42:19Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a95e45480828481a92132870311b1f552022-12-21T18:13:18ZengIEEEIEEE Access2169-35362019-01-017707707079810.1109/ACCESS.2019.29193248723329Communication Technologies Based on Voluntary Blinks: Assessment and DesignAlberto J. Molina-Cantero0https://orcid.org/0000-0002-2256-0127Clara Lebrato-Vazquez1Manuel Merino-Monge2Roylan Quesada-Tabares3Juan A. Castro-Garcia4Isabel M. Gomez-Gonzalez5Department of Electronic Technology, E.T.S. Ingeniería Informática, Universidad de Sevilla, Seville, SpainDepartment of Electronic Technology, E.T.S. Ingeniería Informática, Universidad de Sevilla, Seville, SpainDepartment of Electronic Technology, E.T.S. Ingeniería Informática, Universidad de Sevilla, Seville, SpainDepartment of Electronic Technology, E.T.S. Ingeniería Informática, Universidad de Sevilla, Seville, SpainDepartment of Electronic Technology, E.T.S. Ingeniería Informática, Universidad de Sevilla, Seville, SpainDepartment of Electronic Technology, E.T.S. Ingeniería Informática, Universidad de Sevilla, Seville, SpainSome people with severe disabilities are confined in a state in which communication is virtually impossible, being reduced to communicating with their eyes or using sophisticated systems that translate thoughts into words. The EyeTrackers and Brain-Computer Interfaces (BCIs) are suitable systems for those people but their main drawback is their cost. More affordable devices are capable of detecting voluntary blinks and translating them into a binary signal that allows the selection, for example, of an ideogram on a communication board. We tested four different systems based on infrared, bioelectrical signals (Electro-Oculography (EOG) and Electro-Encephalography (EEG)), and video processing. The experiments were performed by people with/without disabilities and analyzed the systems' performances, usability, and method of voluntary blinking (long blinks or sequence of two short blinks). The best accuracy (99.3%) was obtained using Infrared-Oculography (IR-OG) and the worst with the EEG headset (85.9%) and there was a statistical influence of the technology on accuracy. Regarding the method of voluntary blinking, the use of long or double blinks had no statistical influence on accuracy, excluding EOG, and the time taken to perform double blinks was shorter, resulting in a potentially much faster interface. People with disabilities obtained similar values but with greater variability. The preferred technology and blinking methods were Video-Oculography (VOG) and long blinks, respectively. The several Open-Source Hardware (OSHW) devices have been developed and a new algorithm for detecting voluntary blinks has also been proposed, which outperforms most of the published papers in the reviewed literature.https://ieeexplore.ieee.org/document/8723329/AACblinksEEGEOGIROGpeople with disabilities |
| spellingShingle | Alberto J. Molina-Cantero Clara Lebrato-Vazquez Manuel Merino-Monge Roylan Quesada-Tabares Juan A. Castro-Garcia Isabel M. Gomez-Gonzalez Communication Technologies Based on Voluntary Blinks: Assessment and Design IEEE Access AAC blinks EEG EOG IROG people with disabilities |
| title | Communication Technologies Based on Voluntary Blinks: Assessment and Design |
| title_full | Communication Technologies Based on Voluntary Blinks: Assessment and Design |
| title_fullStr | Communication Technologies Based on Voluntary Blinks: Assessment and Design |
| title_full_unstemmed | Communication Technologies Based on Voluntary Blinks: Assessment and Design |
| title_short | Communication Technologies Based on Voluntary Blinks: Assessment and Design |
| title_sort | communication technologies based on voluntary blinks assessment and design |
| topic | AAC blinks EEG EOG IROG people with disabilities |
| url | https://ieeexplore.ieee.org/document/8723329/ |
| work_keys_str_mv | AT albertojmolinacantero communicationtechnologiesbasedonvoluntaryblinksassessmentanddesign AT claralebratovazquez communicationtechnologiesbasedonvoluntaryblinksassessmentanddesign AT manuelmerinomonge communicationtechnologiesbasedonvoluntaryblinksassessmentanddesign AT roylanquesadatabares communicationtechnologiesbasedonvoluntaryblinksassessmentanddesign AT juanacastrogarcia communicationtechnologiesbasedonvoluntaryblinksassessmentanddesign AT isabelmgomezgonzalez communicationtechnologiesbasedonvoluntaryblinksassessmentanddesign |