Motor imagery (MI) task classification is highly prevalent in Electroencephalography
(EEG)-based Brain-Computer Interface (BCI) research area. Extremity movement task
classification and finger movement classification studies are presented in this thesis.
In extremity movement classification, binary-class (right hand and left hand) and
multi-class (right hand, left hand, right hand, and left hand) classifications are
performed using 4 different feature extraction approaches and statistically
significance-based feature selection (the independent t-test, one-way ANOVA test).
Firstly, time- ...Daha fazlası
The aim of this thesis was to develop a wearable personal trainer device supported
with an application that works on mobile devices to analyze arm position and muscle
state during a weight exercise. The wide popularity of an active lifestyle combined
with people's demands for well-informed workouts, a need for personalized training
devices is detected. Main objective was to design a wearable tracking system that could
detect and track arm position and collect real time data from desired muscles (biceps
brachii, brachialis, coracobrachialis, and triceps brachii) to track exercise effectiv ...Daha fazlası
The aim of this thesis was to develop a wearable tele-physiotherapy device that addresses the remote elbow joint rehabilitation. The developed device consists of a wearable exoskeleton equipped with servo motor, joint angle sensor, EMG sensor, battery and Wi-Fi module. By connecting with the Android mobile application, it enables real-time monitoring of EMG data and programming of personalized exercise programs. The device offers convenience and comfort to patients by eliminating the need for face-to-face physiotherapy sessions and aims to reduce treatment costs and treatment time.
The develo ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.
