Intelligent Embedded Health Care Seat Cushion of Vision Robot Design by Fuzzy Neural Network
Yi-Jen Mon
Journal of Digital Information Management, Vol. 13, No. 2, 2015.
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Abstract:
In this paper, two sensors which are pressure
sensor and infrared sensor are used. These sensors are mounted on the seat cushion of vision robot, respectively such as to get data of pressure and distance with back of cushion. At first, the signal is sent to the microprocessor (MCU) to do fuzzy inference then to decide whether the human should leave the chair or not. It can let patient to avoid sitting for a long time or bad posture and other issues. By using pressure sensor, if the sitting time is longer than the threshold time then the system will generate a warning signal. By using the Infrared sensor, if the distance is measured too far then it means the patient
has bad posture, the system will also produce a signal to remind patient to change his sitting position. This is a two input one output intelligent health management for health
care of vision robot which is designed by fuzzy logic method such as to avoid some unnecessary false decision. The implementation results show that it possesses good commercial applications, low cost, easy to installation, high availability and huge market. This cushion of vision robot is ideal and effective and it can improve the health management for patients.