• Korean Journal of Digital Imaging in Medicine
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• v.11 no.2
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• pp.79-84
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• 2009

Recently, there has been a rapid increase of interest in u-Health systems or instruments. The importance of testbeds has been discussed deeply also. However, beyond laboratory or ward environments, testbeds covering metropolitan area cannot be found easily. Moreover, there has been few papers which discuss the results of testbed operations for various instruments in different age groups. In this paper, the results of testbed which operated in Daegu metropolitan area are discussed and improvement directions to strengthen the competitiveness are proposed using user analysis. In particular, the results of trial services using the u-Life support instruments (medication reminder, falling safety phone, bio-patch and shirts, etc) for super aging societies in the near future are discussed.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1226-1274
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• 2022

In this paper, we dealt with a safety helmet for detecting dangerous situations that focuses on falling accidents and gas leaks, which are the main causes of industrial accidents. the fall situation range was set through gravity acceleration measurement using an acceleration sensor, and as a result, a fall detection rate of 80% could be confirmed. .In addition, the dangerous gas concentration was measured through a gas sensor, and when a digital value of 188 or more was output through a serial monitor, it was determined as a gas dangerous situation, and a fall warning message and a gas warning message could be checked through a smart-phone application produced based on the app inventor program.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.1
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• pp.126-136
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• 2014

In the Advanced Driver Assistance Systems (ADAS) of smart vehicle and Intelligent Transportation System (ITS) for to detect the boundary of lane is being studied a lot of Hough Transform. This method detects correctly recognition the lane. But recognition rate can fall due to detecting straight lines outside of the lane. In order to solve this problems, this paper proposed an algorithm to recognize the lane boundaries and the accumulator cells in Hough space. Based on proposed algorithm, we develop application for Android was developed by H/W verification. Users of smart phone devices could use lane detection and lane departure warning systems for driver's safety whenever and wherever. Software verification using the OpenCV showed efficiency recognition correct rate of 93.8% and hardware real-time verification for an application development in the Android phone showed recognition correct rate of 70%.