Mengu D.

Cognitive fatigue is the natural result of longtime mental effort during the execution of a high mental workload or a strenuous task. This situation often leads to decreased productivity and increased security risks. In this study, it was aimed to detect cognitive fatigue quickly and accurately, regardless of subjective data. CogBeacon dataset was used for this. Data that make up the CogBeacon dataset were collected from 19 participants in 76 sessions with the help of a 4-electrode MUSE electr

Thanks to improving technology human life is consistently becoming easier. In points which exceeds human abilities machines come into play and they overcomes they remedy the deficiencies of human. One of the disciplines which must be evaluated in this coverage is manufacturing artificial hand for defective human which can manage with EMG signals. In this paper we tried to classify EMG signals which is belong to hands and arms who are limbs that human frequently use in daily life.

In this paper, a technique to classify seven different forearm movements using surface electromyography (sEMG) data which were received from 8 able bodied subjects was proposed. A 2-channel sEMG system was used for data acquisition and recording, then this raw electromyography (EMG) signals were applied to the wavelet denoising. In the next step, time-frequency feature is extracted calculating wavelet packet transform (WPT) coefficients for the offline classification. Feature vector of EMG signa

Teknolojik gelişmeler ışığında toplumların istek ve ihtiyaçlarındaki değişimler, küresel düzeyde üretilen ürün miktarlarının ve çeşitliliğinin artmasına ve ticari veri odaklı büyük bilgi yığınlarının oluşmasına sebep olmaktadır. Söz konusu bu bilgi yığınlarının işlenerek anlamlı verilere dönüştürülmesi küresel ticaretin sürekliliği ve etkinliği açısından önem arz etmektedir. Günümüzde bilgi yığınlarının işlenerek anlamlı verilere dönüştürülmesinde yapay zekaya dayalı süreç optimizasyon