Akademik Veri Yönetim Sistemi
26th IEEE Signal Processing and Communications Applications Conference (SIU), İzmir, Türkiye, 2 - 05 Mayıs 2018, (Tam Metin Bildiri)
In our country, as in the world, domestic animal ownership rate is increasing day by day. Pet owners use a variety of tools and methods to monitor their animals' health. One of the most commonly used methods to track animal health is to observe animal activity level. A decrease in animal's activity level is the first and most obvious symptom in most animal diseases. In this study, an IoT system is developed to automatically recognize and track the activities of domestic animals. The system includes a sensor node attached to the pet's collar, a mobile application that transfers the data collected by this sensor node to the cloud architecture, and a software and user interface that automatically classifies and visualizes data in the cloud architecture. With the obtained data, the pet's activities within a day were determined by showing different classes of action (sitting, walking, running). Dogs were used as subjects in the study.