• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.142-146
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• 2011

In this paper, to invigorate elderly-friendly industry, a case study on curriculum for re-educational work of the field engineers is introduced. The curriculum has been developed to retrain technicians and engineers in IT-based elderly-friendly business industry, to help them develop elderly-friendly products, and it have been evolved by operating it and analyzing outcome and satisfaction levels since August in 2009. The re-education work of the field engineers are designed for invigorating the IT-based elderly-friendly business industry, based on the instruction system design(ISD) model. To develop IT-based elderly-friendly products, the elderly-friendly accessible design and the elderly-friendly living and health care equipment design are required. For the elderly-friendly accessible design, it consists of "Elderly-Friendly Engineering Based on Human Characteristics", "Color Sensibility and Universal Design for The Elderly", and "Design Understanding and Process". For the elderly-friendly living and health care equipment design, it consists of "Embedded System Design and Debugging Experiments for Elderly-Friendly IT Equipment", "Elderly-Friendly Android Implementation Design", and "Design and Experiments of Silver-care Android-based Smart Equipment".

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.4
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• pp.105-111
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• 2010

This paper proposes the recursive algorithm for passive proximity detection system based on signal strength. The system is designed to be used in the smart medicine chest in order to provide location-based service for the senior personnel. Due to the system profile, single receiver and uni-direction communication are applied over the signal attenuation model for the determination of user existence within certain proximity. The performance of conventional methods is subjective to the sight between the transmitter and receiver unless the direction of target is known. To appreciate the temporal and spatial locality of human subjects, the authors present exponential moving average (EMA) to compensate the unexpected position error from the direction and/or environment. By using optimal parameter, the experiments with EMA algorithm demonstrates 32.26% (maximum 40.80%) reduction in average of the error probability with 50% of consecutive sight in time.