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Synchronous brain machine interface design using focused time delay networks
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Focused time delay neural network based design for a
four-state Brain Machine Interface (BMI) to drive a wheelchair is
analyzed. Motor imagery signals recorded noninvasively using two
bipolar electrodes are used in the ...
Asynchronous brain machine interface-based control of a wheelchair
(Springerlink, 2011)
A brain machine interface (BMI) design for controlling the navigation of a power wheelchair is proposed. Real-time experiments with four able bodied subjects are carried out using the BMI-controlled wheelchair. The BMI is ...
Stereo Sensors-based Object Segmentation and Location for a Bin Picking Adept SCARA Robot
(Universiti Malaysia Perlis, 2007)
In this paper we present a stereo vision system for segmentation of partially occluded objects and computation of object grasping point in bin picking environments. The stereo vision system was interfaced with an Adept ...
Voiceless Voice : An Intelligent Communication System for Physically Retarded Communities
(Universiti Malaysia Perlis, 2010-01-07)
The Intelligent Voiceless communication is a device which can help the physically retarded peoples to communicate with the outside world by using their brain signals. Our product makes use of the active brain functions of ...
Brain machine interface based wheelchair control with minimal subject training
(Universiti Malaysia Perlis, 2009-10-11)
Wheelchair control using a Brain Machine Interface based on motor imagery requires adequate subject training. In this paper we propose a new algorithm for a brain machine
interface design which is implemented in real-time ...
Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks
(University of Basrah, 2008)
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 ...
Segmentation and location computation of bin objects
(Ars International, 2007)
In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the ...
Functional link PSO neural network based classification of EEG mental task signals
(Institute of Electrical and Electronics Engineering (IEEE), 2008-08-26)
Classification of EEG mental task signals is a technique in the design of Brain machine interface [BMI]. A BMI can provide a digital channel for communication in the absence of the biological channels and are used to ...
Recognition of motor imagery of hand movements for a BMI using PCA features
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
Motor imagery is the mental simulation of a motor act that includes preparation for movement and mental operations of motor representations implicitly or explicitly. The ability of an individual to control his EEG through ...
Intelligent vehicle fault diagnosis system using Neural Networks
(Universiti Teknologi Mara, 2007-03-09)
Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ...