Özet
Ambient Assistant Living(AAL) applications gain importance considering the aging population in the world. The aim of this study is the analysis of signal localization techniques that extract frequency rates of human breathing in AAL applications. Ultra-wideband radar system has been used to detect respiratory rate due to its high resolution and non-ionizing energy. Experimental scenarios are performed in three cases, and the human body is expected as speaking and hand-waving during scenes. In this way, the realistic situations are have been mimicked. The spectrum analysis of the measured signals is performed by Fast Fourier Transform (FFT) and Hilbert Huang Transform (HHT). The comparison of these techniques is given. Considering non-linearity and non-stationarity of HHT, it is more effective and provides regional analysis.
Tercüme edilen katkı başlığı | Signal Processing Techniques for Human Vital Signs Sensing by Short Range Radar |
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Orijinal dil | Türkçe |
Ana bilgisayar yayını başlığı | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Elektronik) | 9781728172064 |
DOI'lar | |
Yayın durumu | Yayınlandı - 5 Eki 2020 |
Etkinlik | 28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey Süre: 5 Eki 2020 → 7 Eki 2020 |
Yayın serisi
Adı | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings |
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???event.eventtypes.event.conference??? | 28th Signal Processing and Communications Applications Conference, SIU 2020 |
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Ülke/Bölge | Turkey |
Şehir | Gaziantep |
Periyot | 5/10/20 → 7/10/20 |
Bibliyografik not
Publisher Copyright:© 2020 IEEE.
Keywords
- Fast Fourier Trasnform
- Hilbert Huang Transform
- UWB radar
- detection of human vital signs
- joint time-frequency representation