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|Title:||Indoor human activity recognition using BumbleBee radar||Other Titles:||Abumblebee radar ile bina içi insan hareketlerinin taninmasi||Authors:||Çağlıyan, B.
Gürbüz S. Z.
|Issue Date:||2014||Publisher:||IEEE Computer Society||Source:||2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, 23 April 2014 through 25 April 2014, Trabzon, 106053||Abstract:||Human detection offers many advantages in applications of search and rescue, smart environments, and security. Infrared, acoustic, vibration/seismic and visual sensors have been often used in human detection and recognition systems. Radar offers unique advantages for sensing humans, such as remote operation during virtually all weather conditions, increased range, and better coverage. However, radar systems are typically very expensive and physically large. The BumbleBee radar, in contrast to most radars, is a low power pulse Doppler radar that is about the size of a business card. Moreover, it is a radar that can be integrated into indoor wireless sensor networks. In this work, the application of BumbleBee radar to human activity recognition by computing the human micro-Doppler signature is examined. Humans are complex targets that are capable of many motions. Every part of the human causes different reflection and every motion of the human has its unique micro-doppler signatures. The differences in micro-Doppler data of activities such as walking, running, and crawling that is gathered from low-cost, low-power radar is discussed. © 2014 IEEE.||URI:||https://doi.org/10.1109/SIU.2014.6830414
|Appears in Collections:||Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering|
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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