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Browsing by Author "Akagunduz, E."

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    A data collection system design for hand gestures
    (Institute of Electrical and Electronics Engineers Inc., 2021) Akan, E.; Akagunduz, E.; Uslu, I.B.
    In this study, we aim at designing a smart glove, which consists of different inertial sensors and an EMG sensor and developing a human-machine interaction application by pre-processing and fusing these different sensory data. We also aim at providing solutions in cases where image processing-based approaches are inefficient. In the proposed smart glove, the quaternion-based orientation data to be produced by the magnetometer and gyroscope together, the acceleration data to be generated by the accelerometer, and the analog data generated by the EMG sensor are collected and then prepared for use by different applications. © 2021 IEEE.
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    An Analysis On the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization [Tam Evrişimli Aǧlardaki Atlama Baǧlantilarinin Plaka Konumu Bulmaya Etkisi Üzerine Bir İnceleme]
    (Institute of Electrical and Electronics Engineers Inc., 2019) Uzun, E.; Akagunduz, E.; 233834
    In this study, the effect of the skip connections, which are seen in fully convolutional networks, on object localization is analyzed. For this purpose, a local data set for plate detection is created. Experiments are carried out using this data set. Due to the small size of the image set, data augmentation method is used to overcome the danger of over-fitting. The learning rates of the first layers are frozen for analysis and finetuning is applied to only the last layer and deconvolution layers. The results obtained are compared with the results of other image sets. The results indicate the importance of the information provided by the skip connections on object localization. © 2019 IEEE.