Browsing by Author "Saran, M."

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Citation - Scopus: 1
Application of a Voting-Based Ensemble Method for Recognizing Seven Basic Emotions in Real-Time Webcam Video Images
(Institute of Electrical and Electronics Engineers Inc., 2024) Sanli, A.T.; Saran, M.
This study examines the automatic recognition of human emotions in real-time through facial expressions from webcams. Real-time emotion recognition is a crucial element in human-computer interaction and emotional computing. The study evaluates the effectiveness of various techniques in real-time facial emotion recognition using a custom CNN model, creating an ensemble with a voting mechanism, and integrating the system for real-time emotion recognition. The CNN model was trained on the FER2013 dataset, which consists of facial images labeled with different emotional states. It achieved a remarkable accuracy of 95%. In this study, we developed a dataset named ATS-FER2024, which consists of 184 images depicting seven distinct emotions. The tests conducted on this dataset yielded an accuracy rate of 89%. Despite its small size, the dataset's accuracy is noteworthy. The findings contribute to academic knowledge on developing emotion recognition systems, enhancing empathy, and creating context-sensitive interactions in real-world applications. © 2024 IEEE.
Citation - Scopus: 34
Use of Mobile Phones in Language Learning: Developing Effective Instructional Materials
(2008) Cagiltay, K.; Seferoglu, G.; Saran, M.
With its widespread use and its features and functions such as mobility, reachability, localization, and personalization, mobile phone technology offers a great potential in learning environments. With this consideration, our first and foremost aim in this study has been to make use of this profound interest and potential, and contribute to the efforts to enhance existing educational practices, particularly in the developing regions of the world. Therefore, we developed instructional materials to be delivered through mobile phones operated in second generation GSM technology in order to improve English language learners' vocabulary acquisition. The multimedia messages in this study allowed students to see the definitions of words, example sentences, related visual representations, and pronunciations. After students finished reading multimedia messages, interactive short message service (SMS) quizzes for testing their learning were sent. This paper suggests some important points to consider while creating MMS content and a SMS quiz system for educational purposes. © 2008 IEEE.