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The classification of magnetic signals has become one of the challenging research problems in brain computer interfaces (BCIs). Magnetic signals, as measured with electroencephalography (EEG) and magnetoencephalography (MEG), contain lots of additional information on the bioelectrical activity of the brain. In this paper, we propose a simple transformation method that utilises signal-to-image conversion...
Gender recognition from facial images has become one of challenging research problem in computer vision, security, verbal-nonverbal communication and human computer interaction applications nowadays. Because facial images include many information such as gender, facial expressions, age, ethnic origin in computer-aided applications, the success rate of the gender recognition depends on quality of facial...
Gender recognition has been widely used in research areas like biometric security systems, human computer interaction and verbal/nonverbal communication in recent times. However, due to different appearances of human face and negative environmental effects on face images, gender recognition is still a hot research area in the field of computer vision. And, current gender recognition studies are carried...
Gender recognition is one of the most popular research areas in security, biometrics and human computer interaction applications [1]. In previous studies, structural and textural features of facial expressions were mostly used to identify gender. One of the biggest challenges of gender recognition is differentiating textual features of faces that decrease the accuracy of the proposed method, and there...
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