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This paper presents the implementation on a control of humanoid robot with human brainwaves as control input. This control technique is done with real-time measurements of the brain activity with electroencephalography and recognition of the signal types. The recognized signals are sent as control input to a custom build humanoid robot. The presented hardware of the robot combines main controller,...
Solutions for caring for the elderly both efficacious and cost-effective are given by Ambient Assisted Living (AAL) systems that combine the research fields of intelligent systems and communication technologies. These systems are promising for the improvement of the quality of life of elderly and disabled people. One important characteristic of health and well-being is sleep. While sleep quantity...
In recent years, the EEG-based brain-computer interface (BCI) has become one of the most promising areas of research in computer science and robotics. Many internationally renewned research teams combining engineers and doctors, experts in neuroscience are trying to develop useful applications and devices offering disabled people to lead a normal life. Useful BCIs for disabled people suffering from...
Describing an Artificial Neural Network (ANN) using VHDL allows a further implementation of such a system on FPGA. Indeed, the principal point of using FPGA for ANNs is flexibility that gives it an advantage toward other systems like ASICS which are entirely dedicated to one unique architecture and allowance to parallel programming, which is inherent to ANN calculation system and one of their advantages...
The conversion of symbolic sequences into complex genomic signals reveals surprising regularities of genomes, both locally and at a global scale. This approach allows usage of standard signal processing methods for the nucleotide sequences analysis and specifically for the prediction of nucleotides when knowing the preceding ones in a sequence. In this paper we propose variety of methods and ways...
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