Towards an Accessible Use of a Brain-Computer Interfaces-Based Home Care System through a Smartphone
Joint Authors
Sun, Koun-Tem
Hsieh, Kai-Lung
Syu, Syuan-Rong
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This study proposes a home care system (HCS) based on a brain-computer interface (BCI) with a smartphone.
The HCS provides daily help to motor-disabled people when a caregiver is not present.
The aim of the study is two-fold: (1) to develop a BCI-based home care system to help end-users control their household appliances, and (2) to assess whether the architecture of the HCS is easy for motor-disabled people to use.
A motion-strip is used to evoke event-related potentials (ERPs) in the brain of the user, and the system immediately processes these potentials to decode the user’s intentions.
The system, then, translates these intentions into application commands and sends them via Bluetooth to the user’s smartphone to make an emergency call or to execute the corresponding app to emit an infrared (IR) signal to control a household appliance.
Fifteen healthy and seven motor-disabled subjects (including the one with ALS) participated in the experiment.
The average online accuracy was 81.8% and 78.1%, respectively.
Using component N2P3 to discriminate targets from nontargets can increase the efficiency of the system.
Results showed that the system allows end-users to use smartphone apps as long as they are using their brain waves.
More important, only one electrode O1 is required to measure EEG signals, giving the system good practical usability.
The HCS can, thus, improve the autonomy and self-reliance of its end-users.
American Psychological Association (APA)
Sun, Koun-Tem& Hsieh, Kai-Lung& Syu, Syuan-Rong. 2020. Towards an Accessible Use of a Brain-Computer Interfaces-Based Home Care System through a Smartphone. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1138713
Modern Language Association (MLA)
Sun, Koun-Tem…[et al.]. Towards an Accessible Use of a Brain-Computer Interfaces-Based Home Care System through a Smartphone. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1138713
American Medical Association (AMA)
Sun, Koun-Tem& Hsieh, Kai-Lung& Syu, Syuan-Rong. Towards an Accessible Use of a Brain-Computer Interfaces-Based Home Care System through a Smartphone. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1138713
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138713