The Effect of the Age in using the Brain-Machine Interface

Year 2019, , 683 - 687, 26.12.2019

Mehmet Eşref Alkış , Hüseyin Koç

https://doi.org/10.18586/msufbd.598621

Abstract

Brain
Machine Interface (BMI) especially used for disabled people and military
services. However, in the literature review, no study was detected on the
relationship between the age of the person using the device and the performance
of it. The aim of this study is to detect whether age is important in
controlling a robot using BMI or in which age range this control is more
efficient. The study was carried out with 45 healthy male subjects (age range:
7-60). The focusing and activating time of each subject was recorded and analysed.
The analysis results showed that this time was the shortest in children and the
longest in adults. The study results indicated that the time to focus and
activate the device increased in parallel with the age, and hence, the children
and the young were much better at controlling or activating an external device
through BMI.

Keywords

Brain Machine Interface (BMI), EEG, Neurosky Mindwave, robot

Beyin Makine Arayüzü kullanımında Yaşın Etkisi

Abstract

Her deneğin
odaklanma ve aracı harekete geçirme süreleri kayıt altına alınarak analiz
edildi. Analiz sonuçları, bu sürenin
çocuklarda en kısa, yetişkinlerde ise en uzun olduğunu göstermiştir. Çalışmamızın sonuçları, yaşla birlikte odaklanıp aracı harekete geçirme süresinin arttığını ve bundan dolayı yetişkinlere
göre çocuklar ve gençler BMI ile harici cihazları ve robotları kontrol etmede
veya çalıştırmada daha başarılı olabileceklerini göstermektedir.sağlıklı erkek denek ile yapıldı.(7-60 yaş aralığı) Çalışma, 45 .Beyin Makine Arayüzü (BMI), özellikle engelli
insanlar ve askeri hizmetler için kullanılmaktadır. Fakat yapılan literatür taramasında cihazı kullanan kişinin yaşı ile
cihazdan alınan verim arasında herhangi bir çalışmaya rastlanmamıştır. Bu araştırmanın amacı, BMI kullanılarak bir robot
kontrol edilirken cihazı kullanan kişinin yaşının önemi ve hangi yaş grubunda
bu kontrolün daha verimli yapılabildiğini belirlemektir

Keywords

Beyin Makine Arabirimi (BMI), EEG, Neurosky Mindwave, Robot

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