This paper poses a control interface to command the movement of a mobile robot according to signals captured from the user's brain. These signals are acquired and interpreted by Emotiv EPOC device, a 14-electrode type sensor which captures electroencephalographic (EEG) signals with high resolution, which, in turn, are sent to a computer for processing. One brain-computer interface (BCI) was developed based on the Emotiv software and SDK in order to command the mobile robot from a distance. Functionality tests are performed with the sensor to discriminate shift intentions of a user group, as well as with a fuzzy controller to hold the direction in case of concentration loss. As conclusion, it was possible to obtain an efficient system for ro...
Introduction: This study assesses the five-performance metrics, available on the Emotive Insight dev...
This article shows the experiences carried out in the context of human/robot communication, on the b...
During this master-thesis a robot controller designed for low-throughput and noisy EEG-data of a Bra...
This paper poses a control interface to command the movement of a mobile robot according to signals ...
This paper poses a control interface to com-mand the movement of a mobile robot according to sig-nal...
En este artículo se presenta una interfaz de control que permite comandar el movimiento de u...
Brain-computer interfaces have been explored for years with the intent of using human thoughts to co...
[ES] El propósito de este trabajo es la creación de una interfaz cerebro-computador, o sistema BCI. ...
[SPA] El presente Trabajo Fin de Grado forma parte de un proyecto más amplio, cuyo principal objeti...
This project takes Electroencephalography (EEG) data and correlates it with specific robotic actions...
The purpose of this project is to expand the capabilities of an existing interface of controlling a ...
This conference paper was presented in the International Conference on Informatics, Electronics and ...
This paper introduces proposed system which gives control of robot using brain signals (EEG) based o...
The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile ...
The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile ...
Introduction: This study assesses the five-performance metrics, available on the Emotive Insight dev...
This article shows the experiences carried out in the context of human/robot communication, on the b...
During this master-thesis a robot controller designed for low-throughput and noisy EEG-data of a Bra...
This paper poses a control interface to command the movement of a mobile robot according to signals ...
This paper poses a control interface to com-mand the movement of a mobile robot according to sig-nal...
En este artículo se presenta una interfaz de control que permite comandar el movimiento de u...
Brain-computer interfaces have been explored for years with the intent of using human thoughts to co...
[ES] El propósito de este trabajo es la creación de una interfaz cerebro-computador, o sistema BCI. ...
[SPA] El presente Trabajo Fin de Grado forma parte de un proyecto más amplio, cuyo principal objeti...
This project takes Electroencephalography (EEG) data and correlates it with specific robotic actions...
The purpose of this project is to expand the capabilities of an existing interface of controlling a ...
This conference paper was presented in the International Conference on Informatics, Electronics and ...
This paper introduces proposed system which gives control of robot using brain signals (EEG) based o...
The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile ...
The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile ...
Introduction: This study assesses the five-performance metrics, available on the Emotive Insight dev...
This article shows the experiences carried out in the context of human/robot communication, on the b...
During this master-thesis a robot controller designed for low-throughput and noisy EEG-data of a Bra...