![](/images/graphics-bg.png)
Towards an Accessible Use of a Brain-Computer Interfaces-Based Home Care System through a Smartphone
المؤلفون المشاركون
Sun, Koun-Tem
Hsieh, Kai-Lung
Syu, Syuan-Rong
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-28
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138713
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)