Effects of myofascial exercises on instep kick biomechanics and myofascial elasticity
Deniz, Volkan | Işık, Aleyna | Kılcı, Abdullah | Kesilmiş, İnci
This study aimed to investigate the effects of an anterior superficial myofascial chain strengthening program on maximum ball speed, myofascial elasticity, muscle activation, and shank kinematics in young soccer players. A total of 32 licensed soccer players, aged 13–14 years, were recruited and randomly assigned to either an exercise group or a control group. Participants in the exercise group underwent an 8-week anterior superficial myofascial chain strengthening program consisting of three progressive phases. At baseline and after the 8-week intervention, the maximum ball speed during the instep kick was measured using a radar gun; muscle activation was assessed via surface electromyography; and shank rotational velocity and acceleration were recorded using an inertial measurement unit....
Automated detection of quiet eye durations in archery using electrooculography and comparative deep learning models
Söğüt, Fatma | Yanık, Hüseyin | Değirmenci, Evren | Kesilmiş, İnci | Çömelekoğlu, Ülkü
This study presents a deep learning-based approach for the automated detection of Quiet Eye (QE) durations from electrooculography (EOG) signals in archery. QE—the final fixation or tracking of the gaze before executing a motor action—is a critical factor in precision sports. Traditional detection methods, which rely on expert evaluations, are inherently subjective, time-consuming, and inconsistent. To overcome these limitations, EOG data were collected from 10 licensed archers during controlled shooting sessions and preprocessed using a wavelet transform and a Butterworth bandpass filter for noise reduction. We implemented and compared a traditional model (SVM) and five deep learning models—CNN+LSTM, CNN+GRU, Transformer, UNet, and 1D CNN—for QE detection. The CNN+LSTM model achiev...