The Virtual Reality Brain-Computer Interface System for Ubiquitous Home Control

نویسندگان

  • Hyung-Sang Cho
  • Jayoung J. Goo
  • Dongjun Suh
  • Kyoung Shin Park
  • Minsoo Hahn
چکیده

This paper presents a virtual reality brain computer interface (BCI) system which allows the user to interact physical objects in the ubiquitous home. The system is designed for motion disabled people to control real home facilities by a simple motor imagery and minimal physical body movements. While BCI research has mostly focused on improving classification algorithm, our BCI system uses a simple BCI classification method and the additional locking mechanism to compensate the BCI classification error. This paper describes the design, implementation, and user evaluation of our virtual reality BCI system for ubiquitous home control. The user study results showed the locking mechanism helped to improve user controllability which made the system more feasible and reduced user undesired BCI decision error rates.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Brain Computer Interface for Virtual Reality Control

An electroencephalogram (EEG) based brain-computer interface (BCI) was connected with a Virtual Reality system in order to control a smart home application. Therefore special control masks were developed which allowed using the P300 component of the EEG as input signal for the BCI system. Control commands for switching TV channels, for opening and closing doors and windows, for navigation and c...

متن کامل

A Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System

Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...

متن کامل

Automatic Home Control System Using Brain Wave Signal Detection

This project discussed about A brain-computer interface (BCI) is a new communication channel between the human brain and a digital computer. The ambitious goal of a BCI is finally the restoration of movements, communication and environmental control for handicapped people. An electroencephalogram (EEG) based brain-computer interface was connected with a Virtual Reality system in order to contro...

متن کامل

Investigating the efficacy of brain training by using virtual reality and real shooting on the shooting skills of students of a military university

Background and Aim: High quality, fast-paced and cost-effective training of novice military personnel is a major concern in most armed forces around the world. Hence, implementing psycho-technological findings is important in the armed forces. This study aimed to investigate and compare the efficacy of brain-training (neurofeedback) and virtual-reality training through the use of actual and vir...

متن کامل

Virtual Reality Exposure Therapy for the Treatment of Darkness Phobia

Virtual reality (VR) exposure therapy is a common treatment for phobia and the efficacy of this technique has proved. The darkness phobia is one of the most common disorders among the children. This is the first research about the darkness phobia and using VR to treat the patients. The VR system designed in this article is composed from two parts: Mechatronic devices and graphics unit. As a chi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006