Human location detection system using micro-electromechanical sensor for intelligent fan

• Main Authors: Parnin, Sulleha, Rahman, Md. Mozasser
• Format: Conference or Workshop Item
• Language: English; English
• Published: IOP Publishing 2017
• Subjects: TJ212 Control engineering
• Online Access: http://irep.iium.edu.my/56310/7/56310.pdf; http://irep.iium.edu.my/56310/13/56310-Human%20Location%20Detection%20System%20Using%20Micro-Electromechanical%20Sensor%20for%20Intelligent%20Fan_SCOPUS.pdf; http://irep.iium.edu.my/56310/; http://iopscience.iop.org/article/10.1088/1757-899X/184/1/012042/pdf
• Institution: Universiti Islam Antarabangsa Malaysia

This paper presented the development of sensory system for detection of both the presence and the location of human in a room spaces using MEMS Thermal sensor. The system is able to detect the surface temperature of occupants by a non-contact detection at the maximum of 6 meters far. It can be integrated to any swing type of electrical appliances such as standing fan or a similar devices. Differentiating human from other moving and or static object by heat variable is nearly impossible since human, animals and electrical appliances produce heat. The uncontrollable heat properties which can change and transfer will add to the detection issue. Integrating the low cost MEMS based thermal sensor can solve the first of human sensing problem by its ability to detect human in stationary. Further discrimination and analysis must therefore be made to the measured temperature data to distinguish human from other objects. In this project, the fan is properly designed and program in such a way that it can adapt to different events starting from the human sensing stage to its dynamic and mechanical moving parts. Up to this stage initial testing to the Omron D6T microelectromechanical thermal sensor is currently under several experimental stages. Experimental result of the sensor tested on stationary and motion state of human are behaviorally differentiable and successfully locate the human position by detecting the maximum temperature of each sensor reading.