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Nowadays, detection of limb movements from electroencephalogram (EEG) signals is crucial issue to focus on. Many studies on the movement detection of the limbs such as arm, leg, wrist limbs exist, while there are few studies regarding finger movements. Our study aims to determine the best classified finger pairs using binary classification with highest accuracy among individual finger movements. In...
Detection of mental task in Brain- Computer Interface (BCI) is a crucial issue for different application, especially rehabilitation. As known, frontal lobe the largest cortex of brain is involved in function like thinking, planning and organization. The aim of study is detection of motor imagery-based hand grasping. Thus, channels located on frontal lobe are focused on. Laplacian reference channel...
Muscle signal is widely utilized in recognition of hand gesture, prosthetics and rehabilitation. Some study is available to recognize the hand gesture via EMG for some sign languages. Sign language performed generally with hand movement is developed for deaf. According to our research, any study is not available for numbers of between 0 and 9 in Turkish sign language. In this paper, surface electrodes...
Nowadays, image processing software has been improved progressively. Image modifications with unnoticed tricks are available via advanced software. There are many image tricky techniques and Copy-Move Forgery is the most extensive. It is called copy-move forgery when duplicated image region is pasted to another location in same image. In this study, image is divided into sub-blocks to detect tricky...
Large number of digital images and videos are acquired, stored, processed and shared nowadays. High quality imaging hardware and low cost, user friendly image editing software make digital mediums vulnerable to modifications. One of the most popular image modification techniques is copy move forgery. This tampering technique copies part of an image and pastes it into another part on the same image...
Digital images have been widely used in many applications. However, digital image forgery has already become a serious problem due to the rapid development of powerful image editing software. One of the most commonly used forgery techniques is Copy-move forgery that copies a region of an image and pastes it on the other region in the same image. In recent years, most techniques aim to detect such...
Symptoms of some disease are seen on the face area. These symptoms make typical faces by giving typical characteristics to face areas and expressions. Hippocratic face, Parkinson face, Lupus face, Leprosy face can be given as example of these faces. One of the most typical ones of these faces is Acromegaly face. Acromegaly is a disease which occurs as a result of secretion of excessive amounts of...
The aim of this paper is to determine the most effective color space through common color systems for 2D (two dimension) Gaussian Color Model to segment human skin in image. Skin segmentation generally is preprocessing step in many algorithms such as face detection algorithm, hand detection algorithm, etc. RGB, HSV, YIQ, and YUV can be categorized as common color spaces. Choosing appropriate color...
This paper proposes a new filtering method for periodic noise reduction in gray level images. The proposed filter consists of two orthogonal Gaussian filters with elliptic profile for each noise peak provided a star shaped filter. Therefore it is called “Gaussian star filter” (GaSF). The filter parameters for each noise peak are estimated by region growing algorithm in image amplitude spectrum. Obtained...
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