Wearable Technologies: Wearable Sensor and Detectıon of Motion Sensor Data Using Fuzzy Logic

Authors : Murat Kodaloğlu, Feyza Akarslan Kodaloğlu

Pages : 1-19

View : 53 | Download : 40

Publication Date : 2024-06-25

Article Type : Research Paper

Abstract :With the developing technology in recent years, innovative products find use in many areas of life. Wearable technologies have a wide range of impact, from healthcare to education, from tourism to applications for the disabled. While these technologies make it easier to monitor people\'s health, they can enrich the learning experience in education and offer important opportunities in many areas. From a health perspective, while it has advantages such as management of chronic diseases, personalized health monitoring and rapid health access, disadvantages such as privacy concerns, technological problems and cost should not be ignored. In the future, wearable technologies may have major impacts in areas such as the ability to send signals in health emergencies, virtual reality experiences in the entertainment industry, augmented reality applications in tourism and guidance for the disabled. It is envisaged that these technologies, combined with fashion and functionality, will bring new markets and areas of use. In the future, a great change and progress is expected in the field of wearable technologies in a wide range of application areas. In this study, sensor data obtained while users interacted was used. Fuzzy logic method was used to determine the activity and acceleration of motion sensors within a certain time period from raw sensor data.
Keywords : Giyilebilir teknoloji, Hareket sensörü, Bulanık mantık, Giyilebilir sensör