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Article Citation - WoS: 18Citation - Scopus: 24Fusion of Smartphone Sensor Data for Classification of Daily User Activities(Springer, 2021) Sengul, Gokhan; Ozcelik, Erol; Misra, Sanjay; Damasevicius, Robertas; Maskeliunas, RytisNew mobile applications need to estimate user activities by using sensor data provided by smart wearable devices and deliver context-aware solutions to users living in smart environments. We propose a novel hybrid data fusion method to estimate three types of daily user activities (being in a meeting, walking, and driving with a motorized vehicle) using the accelerometer and gyroscope data acquired from a smart watch using a mobile phone. The approach is based on the matrix time series method for feature fusion, and the modified Better-than-the-Best Fusion (BB-Fus) method with a stochastic gradient descent algorithm for construction of optimal decision trees for classification. For the estimation of user activities, we adopted a statistical pattern recognition approach and used the k-Nearest Neighbor (kNN) and Support Vector Machine (SVM) classifiers. We acquired and used our own dataset of 354 min of data from 20 subjects for this study. We report a classification performance of 98.32 % for SVM and 97.42 % for kNN.Article Citation - WoS: 10Citation - Scopus: 12Secondary-Task Effects on Learning With Multimedia: an Investigation Through Eye-Movement Analysis(Routledge Journals, Taylor & Francis Ltd, 2017) Acarturk, Cengiz; Ozcelik, ErolThis study investigates secondary-task interference on eye movements through learning with multimedia. We focus on the relationship between the influence of the secondary task on the eye movements of learners, and the learning outcomes as measured by retention, matching, and transfer. Half of the participants performed a spatial tapping task while studying the instructional materials, whereas the other half studied the materials, without spatial tapping. The results revealed suboptimal learning outcomes under the secondary task, which was accompanied by fewer transitions of gaze between the text and the figure. We propose that the suboptimal learning outcomes might be due to the disrupted processing of pictures, and possibly due to the less efficient integration, of the information gathered from the text and figures.
