Design and implementation of an inductive-based human postures recognition system
This paper describes the design and implementation of an inductive-based human postures recognition system during Muslim prayers or ‘Solat’. Inductive sensors are preferred over contact sensors as they allow remote detection of postures. An array of inductive sensors are placed underneath a prayer...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2014
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Subjects: | |
Online Access: | http://irep.iium.edu.my/40925/1/anis.pdf http://irep.iium.edu.my/40925/4/40925_Design%20and%20implementation%20of%20an%20inductive_Scopus.pdf http://irep.iium.edu.my/40925/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7047581&tag=1 |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |
Summary: | This paper describes the design and implementation of an inductive-based human postures recognition system during Muslim prayers or ‘Solat’. Inductive sensors are preferred over contact sensors as they allow remote detection of postures. An array of inductive sensors are placed
underneath a prayer mat to sense four different postures namely Woquf, Rokoo, Sojod and Qood. Each inductive proximity sensor comprises of a modified inductive loop, with inner and outer loops and three capacitors. The design of the sensing circuit was simulated using both MATLAB and Multisim. Nine identical sensors, with each sensor placed on a different zone on the prayer mat, are connected in parallel to a ChipKit Max32 development board. The sensors
send analog signals that are digitized by the board and sent to a PC as frequency plots. Posture identification was
done by analyzing the triggered zones. Experimental results
are in agreement with both the analytical and simulation results and can successfully distinguish the different postures remotely. |
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