Yazar "Mersinkaya, Ismail" seçeneğine göre listele

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    A Data Acquisiton System with sEMG Signal and Camera Images for Finger Classification with Machine Learning Algorithms
    (Eos Assoc, 2024) Mersinkaya, Ismail; Kavsaoglu, Ahmet Resit
    Advances in robotics and biomedical engineering have expanded the possibilities of Human-Computer Interaction (HCI) in the last few years. The identification of hand movements is the accurate and real-time signal acquisition of hand movements through the use of image-based systems and surface electromyography sensors. This study uses multithreading to record motion signals from the forearm muscles in conjunction with a surface electromyography (sEMG) sensor and a camera image. The finger movement information labels were tabulated and analyzed along with the simultaneous acquisition of surface electromyography signals and these gestures through the camera. After the acquisition, signal processing techniques were applied to the sEMG signal markered from the camera. Therefore, once the interface is established, data sets suitable for machine learning can be generated.
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    Mini Gel Electrophoresis System Based on Embedded System
    (Ieee, 2018) Mersinkaya, Ismail; Kavsaoglu, Ahmet Resit
    The current technologies are utilizable for applying the electrophoresis through agarose or polyacrylamide gels. This standart method is used to seperate, identify and purify nucleic acids, and to get faster as well as more efficiently results by identifying the bands including the basepairs. In this study, Mini Gel Electrophoresis System Based Embedded System (MESBES) is developed to increase the sensibility and accuracy of electrophoresis system by using laboratory environment, and so this system achives to wipe-out the errors based on humans as well as laboratory environment. Additionally, this system also provides faster, more accure and easily accomplishment resulting of the analyses done in laboratory environments by the software of embedded system, microprocessor, human interface, remote access and software development features. MESBES has an upgradeable structure with the typical characteristics of embedded systems such as low power consumption, and updatable. During the process of electrophoresis, getting instantaneous data with user interface, taking band images by applying the UV to gel, at the end of the process transfering the band images to the electronic media automatically can be provided.