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Brain machine interface: motor imagery recognition with different signal length representations
(Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
This work investigates how signal representations affect the performance of a motor imagery recognition system, specifically we investigate on recognition accuracy and computational time of a brain machine interface designed ...
Intelligent Sensor for Reversing Vehicles
(Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)
The Intelligent Sensor for Reversing Vehicles comprises of a stereo camera (placed on the rear bumper of the car), a processing unit, a display unit and speaker (placed near the dashboard of the car). The cameras are ...
Robot chair control using an asynchronous brain machine
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
Robot chair control using an asynchronous brain machine interface (ABMI) based on
motor imagery requires sufficient subject training. This paper proposes a generalized a
brain machine interface design to investigate the ...
Single trial motor imagery classification for a four state brain machine interface
(Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device ...
Neuro-Fuzzy based motor imagery classification for a four class brain machine interface
(Universiti Malaysia Perlis, 2009-10-11)
Brain Machine Interface (BMI) provides a digital link between the brain and a device such as a computer, robot or wheelchair. This paper presents a BMI design using Neuro-Fuzzy classifiers for controlling a wheelchair using ...
Control brain machine interface for a power wheelchair
(Springer-Verlag, 2011-06-20)
Controlling a power wheelchair using a brain machine interface (BMI) requires sufficient subject training. A neural network based BMI design using motor imagery of four states is used to control the navigation of a power ...
Brain signatures: a modality for biometric authentication
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
In this paper we investigate the use of brain signatures as a possible biometric authentication technique. Research on brain EEG signals has shown that individuals exhibit unique brain patterns for similar tasks. In this ...
Estimation of mobile robot orientation using neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
The computation of a mobile robot position and orientation is a common task in the area of computer vision and image processing. For a successful application, it is important that the position and orientation of a mobile ...
Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...
EEG classification using radial basis PSO neural network for brain machine interfaces
(Institute of Electrical and Electronics Engineering (IEEE), 2007-12)
Brain Machine Interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, ...