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This paper proposes a new motor imagery classification method. This method applies the Common Spatial Pattern (CSP) technique that projects Electroencephalography (EEG) filtered signals into a different time-space, where an optimal variance for discrimination of different motor imagery tasks is obtained. By using the training data set, RGB pattern images of each mental task are created through the...
In this paper, an alternative to provide mobile robot with the ability-skill to detect and avoidance object in unknown environments is proposed. The robot can detect objects using infrared sensor to avoidance it with hybrid system through distance measurement and vision system. Low latency calculation allow for direct usage within control loops of mobile robot. The velocity of the robot is from 0...
A challenge in myoelectric control for electrical prosthesis is to obtain information from myoelectric signals to activate the degrees of freedom of the prosthesis. When only a little muscular surface is disposable to detect the myoelectric signal the problem is not easy to solve because only one or two channels can be recorded. So, when only a pair of electrodes or one channel is used to record the...
Currently, identity management systems work with heterogeneous iris images captured by different types of iris sensors. Indeed, iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain a stable iris recognition system which is effective for all type of iris sensors. This paper proposes a new cross-sensor...
This paper presents an algorithm to process the electromyography signal (EMG). It requires low computational power which allows it to be implemented in embedded, low cost platforms. The proposed algorithm uses the Short-Time Fourier Transform (STFT) and the feature extraction methods, namely, modified mean frequency, and the first spectral moment (SM1). This algorithms is able to identify four different...
This paper describes a new implementation of a mixture of techniques not used before for fingerprint recognition. The implementation consists of three stages: the location of the core, which is done through Radon transformation, the extraction of features (out of which a square fingerprint is produced with the core, and the center of the mass is obtained from it), in stage three, the resulting image...
We present a novel perception system for mapping of indoor/outdoor environments with an unmanned ground vehicle (UGV). The system uses image classification techniques to determine the operational environment of theUGV (indoor or outdoor). Based on the classification results, the appropriate mapping system is then deployed.Image features are extracted from video imagery andused to train a classification...
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