• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.217-218
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• 2016

본 논문에서는 매년 증가하고 있는 청소년 허리질환의 문제를 해결하고자 가성비가 높은 스마트 방석을 개발하였다. 스마트 방석은 일반 방석에 압력센서 4개를 장착하고 앉은 사람의 자세를 모니터링하여 스마트폰과 PC를 통해 실시간 또는 통계적으로 분석해 준다. 이는 사용자로 하여금 경각심을 갖도록 유도하며 좌, 우측별 불균형한 자세를 교정하도록 하는 효과를 얻을 수 있다.

• Korean Journal of Human Ecology
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• v.15 no.6
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• pp.1037-1047
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• 2006

In this paper, various structures of the healthcare smart clothing for real-time measurement of vital sign were suggested. The wearing efficiency was evaluated to find out the best ergonomic clothing in the suggested design. The supplementary effects of the clothing components (princess line, double fabric, cushion) on the stable and tight positioning of sensors to the body were evaluated with wear test. Five experimental clothing for male subject were made with closely-fitted shape and they included two representative structure: one was the integrated type of inner and outer garments and the other was the separated type with two garments. Eight subjects in their twenties were participated in the wear test to evaluate the wearing efficiency of experimental clothing. As results, the clothing structure of the separated garments with the inner and the outer shells were evaluated as more efficient and comfortable. However, the effects of clothing components on the light positioning of the sensors to the body surface were not differentiated each other in the subjective evaluation.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.99-104
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• 2019

Recently, modern people are increasing the incidence of various musculoskeletal diseases due to wrong posture. Prevention is possible through proper posture habit, but it is not easy to recognize posture by oneself. Various studies have been conducted to monitor persistent posture in daily life, but most studies using constrained measurement methods and high-cost measurement equipment are not suitable for daily life. In this paper, we implemented a posture discrimination system using a FSR sensor array that can induce posture correction spontaneously through sitting posture monitoring in daily life. The implemented system is designed as a cushion type so it is easy to apply to existing chair. In addition, it can identify five most common postures in everyday life, and can monitor real-time through Android-based smart-phone monitoring application. For the performance evaluation of the implemented system, each posture was measured 50 times repeatedly. As a result, 97.6% accuracy was confirmed.

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.41-50
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• 2023

This study aims to develop electromyography (EMG) textile electrodes and assess their performance and signal stability by examining variations in layer count and fabric types. We fabricated the electrodes through layering and pressing techniques, focusing on configurations with different layer counts (Layer-0, Layer-1, and Layer-2). Our findings indicate that layer presence significantly influences muscle activation measurements, with enhanced performance correlated with increased layer numbers. Subsequently, we created electrodes from five distinct fabrics (neoprene, spandex cushion, 100% polyester, nylon spandex, and cotton canvas), each maintaining a Layer-2 structure. In performance tests, nylon spandex fabric, particularly heavier variants, outperformed others, while the spandex cushion electrodes showed superior stability in muscle activation signal acquisition. This research elucidates the connection between electrode performance and factors like layer number and electrode-skin contact area. It suggests a novel approach to electrode design, focusing on layer properties and targeted pressure application on specific sensor areas, rather than uniformly increasing sleeve pressure.

• Journal of the Semiconductor & Display Technology
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• v.13 no.3
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• pp.57-60
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• 2014

The distortion correction system of Head up display that is installed in vehicle has been studied both experimentally and theoretically for the removal of the optical lens distortion. A new adaptive correction method is having a decisive effect on correction in the optical lens distortion of Head up display. This adaptive correction system removes various distortion that has occurred because of the design tolerances of Head up display and the assemble tolerances into vehicle. It is especially efficient in removal of a barrel distortion and pin cushion of Head up display.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.905-910
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• 2022

Drowsy driving requires a lot of social attention because it increases the incidence of traffic accidents and leads to fatal accidents. The number of accidents caused by drowsy driving is increasing every year. Therefore, in order to solve this problem all over the world, research for measuring various biosignals is being conducted. Among them, this paper focuses on non-contact biosignal analysis. Various noises such as engine, tire, and body vibrations are generated in a running vehicle. To measure the driver's heart rate and respiration rate in a driving vehicle with a piezoelectric sensor, a sensor plate that can cushion vehicle vibrations was designed and noise generated from the vehicle was reduced. In addition, we developed a system for classifying whether the driver is sleeping or not by extracting the model using the CNN-LSTM ensemble learning technique based on the signal of the piezoelectric sensor. In order to learn the sleep state, the subject's biosignals were acquired every 30 seconds, and 797 pieces of data were comparatively analyzed.