• 건강소식
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• v.37 no.3
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• pp.14-15
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• 2013

몸의 기둥이며 중심인 척추. 두개골을 받치고 우리 몸의 무게를 지탱하고 분산할 뿐만 아니라, 우리 몸을 통제하는 척수신경의 배관 통로이기도 하다. 척추가 건강해야 몸이 건강한 것은 두말하면 잔소리. 척추 건강을 지키는 가장 쉬운 방법은 평소 바른 생활 자세를 유지하고 꾸준히 운동하는 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.537-538
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• 2016

Recently, modern people a lot of frequency of work and seat life by academic is increased, addictive spine for the wrong attitude and the wrong habits are many pelvic disease occurrence. Therefore, in order to induce continuous correct posture to prevent this, the system that can be induced to determine the posture information based on the seating information is requested. In this paper, when the development and inappropriate attitude of the device that is capable of tracking measurement in order to evaluate the attitude stability is detected, let your users know, to correct their attitude through the real-time monitoring It was implemented of categorize to help application.

• Child Health Nursing Research
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• v.13 no.2
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• pp.182-190
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• 2007

Purposes: The purposes of this study were to identify the level of knowledge of good posture and postural habits among elementary school children and to identify the relationship between knowledge of good posture and postural habits. Method: A descriptive correlational study was conducted. The participants were 507 elementary school children in Jangheung County. Data were collected using self-administered questionnaires. Descriptive statistics, t-test, ANOVA, and correlation were used for data analysis. Results: The percentage of correct answer for the knowledge test was 65.83%. Postural habits were not good. Although the strength of correlation was low, there is a statistically significant positive correlation between knowledge and postural habits. Not only school health nurses but also class teachers and parents played important roles in spinal health education. Educational needs for spinal health are high. Conclusion: Although more research in this area is warranted, there is a pressing need for interventions aimed at developing healthy habits that promote postural hygiene among elementary school children. Development and evaluation of back education programs in elementary school is necessary.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.139-142
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• 2014

앉아서 생활하는 시간이 많은 현대인들에게 올바르게 앉는 자세는 매우 중요하다. 따라서 현대인들이 올바른 자세를 유지할 수 있도록 도와주는 자세 모니터링 시스템을 고안하게 되었다. 이 시스템의 주요 구성으로는 전원부와 계측부, 제어부, 통신부, 안드로이드기반 어플리케이션으로 나눌 수 있다. 전원부는 9V의 건전지 하나로 구성되어 있고, 2개의 레귤레이터를 통해 아날로그 회로(3.3V)와 MCU(5V)에 전원이 공급되어진다. 그리고 계측부는 6개의 압력센서를 이용하여 아날로그 값을 계측한다. 제어부와 통신부는 MCU 보드(MSP430 Launchpad)와 FB155BC Bluetooth Module로 구성되어 있고, 안드로이드기반 어플리케이션은 Bluetooth Module에서 받은 디지털 신호들을 스마트폰의 화면에 UI공정을 거쳐 디스플레이 한다. 본 연구는 잘못된 자세로 의자에 앉는 습관을 스마트폰의 화면을 통해 실시간으로 확인하고, 바른 자세로 앉을 수 있도록 하여 척추교정 및 척추질환 예방에 기여할 것으로 예상된다.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.6
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• pp.117-125
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• 2015

In the modern age, it is important for people to maintain a good sitting posture because they spend long hours sitting. Posture correction treatment requires a great deal of time and expenses with continuous observation by a specialist. Therefore, there is a need for a system with which users can judge and correct their postures on their own. In this study, we collected users' postures and judged whether they are normal or abnormal. To obtain a user's posture, we propose a four-joint motion capture system that uses inertial sensors. The system collects the subject's postures, and features are extracted from the collected data to build a database. The data in the DB are classified into normal and abnormal postures after posture learning using the K-means clustering algorithm. An experiment was performed to classify the posture from the joints' rotation angles and positions; the normal posture judgment reached a success rate of 99.79%. This result suggests that the features of the four joints can be used to judge and help correct a user's posture through application to a spinal disease prevention system in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.625-628
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• 2019

양돈 업계에서 돼지의 무게는 생산성 측면에서 매우 중요한 요인 중 하나이다. 탑뷰 카메라를 통해 획득된 이미지에서 돼지의 무게를 추정할 때 오차가 적고 신뢰도 있는 결과를 보이기 위해, 오차의 주요 원인인 돼지의 머리를 제거하여야 한다. 우선, 돼지의 머리를 제거하기 위해서는 귀를 탐지하여야 한다. 그러나 돼지의 자세가 바르지 못한 경우 겹침으로 인해 돼지의 귀와 머리가 구분되지 않는 경우가 발생하고, 귀 탐지 과정에서 고려해야 할 변수가 많아지므로 연산량과 수행 시간이 증가한다. 따라서 돼지의 무게 추정을 위해서 돼지의 머리를 제거할 때 돼지의 자세 판정은 필수적이다. 본 논문에서는 돼지의 중점으로부터 돼지의 경계선을 연결한 선분의 길이를 비교하여 돼지의 자세를 빠르게 결정하였다. 이를 통해 자세가 바른 돼지의 머리를 제거하여 돼지의 무게를 측정하는 방법을 제안한다. 실험 결과, 7.8 ms의 수행 시간과 0.97 이상의 정확도로 돼지머리 제거를 위한 자세를 결정할 수 있음을 확인하였다.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.115-119
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• 2024

With the increase in the number of ICT industry workers, there is a demand for research on preventing VDT syndrome. However, existing posture correction products mostly rely heavily on cameras or sensors in wearable devices. In this paper, we have developed a posture correction system that utilizes built-in cameras and circular pressure sensors to collect posture information. Additionally, the system provides a personalized service by capturing the correct posture of the user initially and monitoring the user's posture based on that input. By precisely correcting postures during users' daily tasks, this system aims to prevent and improve VDT syndrome, ultimately enhancing the efficiency of ICT industry workers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.481-482
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• 2014

본 논문에서는 잘못된 걸음걸이로 인해 생기는 다양한 질환들을 예방하고자 압력센서를 통해 걸음형태를 측정하여 블루투스 통신을 이용, 사용자가 스마트폰에서 실시간으로 확인 할 수 있게 하였고, 잘못된 자세를 인식 할 수 있도록 구현하였다. 이 시스템을 통하여 자신의 잘못된 보행 자세를 인지하고 바른 걸음을 할 수 있도록 도움을 주도록 하며 운동시에는 만보기와 칼로리를 계산하는 기능을 활용할 수 있다.

• 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.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.2
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• pp.73-78
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• 2020

Musculoskeletal disease is often caused by sitting down for long period's time or by bad posture habits. In order to prevent musculoskeletal disease in daily life, it is the most important to correct the bad sitting posture to the right one through real-time monitoring. In this study, to detect the sitting information of user's without any constraints, we propose posture measurement system based on multi-channel pressure sensor and CNN model for classifying sitting posture types. The proposed CNN model can analyze 5 types of sitting postures based on sitting posture information. For the performance assessment of posture classification CNN model through field test, the accuracy, recall, precision, and F1 of the classification results were checked with 10 subjects. As the experiment results, 99.84% of accuracy, 99.6% of recall, 99.6% of precision, and 99.6% of F1 were verified.