Yazar "Sağbaş, Ensar Arif" için listeleme
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Akıllı Saat Algılayıcıları ile İnsan Hareketlerinin Sınıflandırılması
Ballı, Serkan; Sağbaş, Ensar Arif (2017)Giyilebilir teknolojideki gelişmelerle birlikte ortaya çıkan cihazlar hızla gündelik hayatın bir parçası haline gelmiştir. Özellikle sahip oldukları algılayıcılar, bu cihazların kullanışlılığını artırmaktadır. Bu çalışmanın ... -
Akıllı telefon algılayıcıları ve makine öğrenmesi kullanılarak ulaşım türü tespiti
Sağbaş, Ensar Arif; Ballı, Serkan (2016)Bu çalışmada akıllı telefon algılayıcıları kullanılarak kullanıcıların ulaşım türü tespitinin yapılması amaçlanmaktadır. Bunun için kullanıcıdan yürürken, koşarken, bisiklet sürerken, araba veya otobüs ile seyahat ederken ... -
Diagnosis of transportation modes on mobile phone using logistic regression classification
Ballı, Serkan; Sağbaş, Ensar Arif (Inst Engineering Technology-Iet, 2018)The aim of this study is to detect transportation modes of people by using smartphone sensors. Therefore, a mobile application was developed for this purpose and global positioning system (GPS), accelerometer, and gyroscope ... -
Hareket Sensörleri Uzerinden Oylama Yöntemi ile Aktivite Tespiti
Sağbaş, Ensar Arif; Ballı, Serkan (Institute of Electrical and Electronics Engineers Inc., 2017)Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth ... -
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
Ballı, Serkan; Sağbaş, Ensar Arif; Peker, Musa (Sage Publications Ltd, 2019)Background: Detecting of human movements is an important task in various areas such as healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile applications. These applications provide users, ... -
Mahalanobis uzaklığı tabanlı aykırı değer bulma ve ReliefF öznitelik seçimine dayalı bir makine öğrenmesi yaklaşımı ile akıllı telefon verileri üzerinden stres tespiti
Sağbaş, Ensar Arif; Korukoğlu, Serdar; Ballı, Serkan (Pamukkale Üniversitesi, 2022)Stress is beneficial when a person is focused, awake and alert. However, exposure to high doses of stress harms a person's health. For this reason, it is important to detect stress and begin relief as soon as possible. In ... -
A mobile solution based on soft computing for fall detection
Ballı, Serkan; Sağbaş, Ensar Arif; Peker, Musa (Springer Science and Business Media Deutschland GmbH, 2019)Falling is an important health risk, especially for the elderly people. This situation prevents individuals from living independently. Automatic and high-accuracy detection of the falls will contribute in preventing the ... -
A novel approach for transportation mode detection: Combining t-SNE Manifold Learning and Support Vector Machines
Sağbaş, Ensar Arif; Peker, Musa; Ballı, Serkan (Ieee, 2017)The aim of this study is to detect transportation modes by using smart phone sensor data. The data are obtained from the GPS, accelerometer and gyroscope sensors of the smartphone. The collected data is divided into 10 ... -
Real-time stress detection from smartphone sensor data using genetic algorithm-based feature subset optimization and k-nearest neighbor algorithm
Sağbaş, Ensar Arif; Korukoğlu, Serdar; Ballı, Serkan (SPRINGER, 2023)Stress is the mood of pressure and tension that a person feels. Usually, when the pressure on an individual decrease, the body begins to stabilize the state and calm down. Hence, stress detection in real-time is a critical ...
