• 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.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.543-551
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• 2018

This study investigated the effects of corrective exercise and TECAR on cervical alignment, pain threshold, and pain in forward head posture patients. The subject includes 30 forward head posture patients. In the intervention methods, the experimental group combined corrective exercise and TECAR treatment. Only the corrective exercise was applied to the control group. Assessments were made on cervico vertebra angle (CV angle), pain pressure threshold (PPT) and neck disability index (NDI) visual analog scale (VAS). The intervention was conducted six times a week for two weeks. Both groups showed significant differences in CV angle, PPT, NDI, and VAS. Also, PPT, NDI, and VAS excluding CV angle were significantly improved in the study group compared to the control group. These results suggest that the intervention method that combines corrective exercise and TECAR treatment has a more positive effect on pain and ADL ability of forward head posture patient.

• 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.

• Progress in Medical Physics
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• v.24 no.2
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• pp.85-91
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• 2013

At present, megavoltage computed tomography (MVCT) is the only method used to correct the position of tomotherapy patients. MVCT produces extra radiation, in addition to the radiation used for treatment, and repositioning also takes up much of the total treatment time. To address these issues, we suggest the use of a video image-guided setup (VIGS) system for correcting the position of tomotherapy patients. We developed an in-house program to correct the exact position of patients using two orthogonal images obtained from two video cameras installed at $90^{\circ}$ and fastened inside the tomotherapy gantry. The system is programmed to make automatic registration possible with the use of edge detection of the user-defined region of interest (ROI). A head-and-neck patient is then simulated using a humanoid phantom. After taking the computed tomography (CT) image, tomotherapy planning is performed. To mimic a clinical treatment course, we used an immobilization device to position the phantom on the tomotherapy couch and, using MVCT, corrected its position to match the one captured when the treatment was planned. Video images of the corrected position were used as reference images for the VIGS system. First, the position was repeatedly corrected 10 times using MVCT, and based on the saved reference video image, the patient position was then corrected 10 times using the VIGS method. Thereafter, the results of the two correction methods were compared. The results demonstrated that patient positioning using a video-imaging method ($41.7{\pm}11.2$ seconds) significantly reduces the overall time of the MVCT method ($420{\pm}6$ seconds) (p<0.05). However, there was no meaningful difference in accuracy between the two methods (x=0.11 mm, y=0.27 mm, z=0.58 mm, p>0.05). Because VIGS provides a more accurate result and reduces the required time, compared with the MVCT method, it is expected to manage the overall tomotherapy treatment process more efficiently.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.629-630
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• 2017

Recently, the number of patients with habitual vertebrae is increasing due to inappropriate postures and habits while sitting on a chair for a long time, because modern people have a great deal of work and studying due to a lot of work and study. Therefore, it is necessary to prevent such a disease through real-time monitoring and to present a guide for the user to recognize the importance of correct posture. In this study, we implemented a posture discrimination system which can help users to calibrate posture by judging the user's sitting position and feedback by using a pressure sensor based weight distribution system. We analyzed the distribution pattern of body weight to determine one normal posture and six abnormal postures. If the abnormal posture is maintained constantly, the implementation of the application that induces the right posture by ringing the notification is described.

• The korean journal of orthodontics
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• v.30 no.3 s.80
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• pp.307-315
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• 2000

This study was performed to evaluate the reproducibility of natural head position according to skeletal malocclusion types and sex using cephalometric radiographs for establishing orthodontic diagnosis and treatment planning. The sample consisted of 90 young adults (male 45, female 45) who had the skeletal malocclusion. Cephalometric radiographs were taken in natural head position, and statistical analysis was performed and method error of 6 postural variables were estimated to evaluate the reproducibility of the natural head position. The following results were obtained : 1. In the reproducibility of the natural head position, postural variables had no statistical significance In male and female (P>0.05). 2. In the reproducibility of the natural head position, postural variables had no statistical significance in Class I, II, III, and total group (P>0.05). 3. The reproducibility of natural head position using method error was excellent in all groups.

• Trans-
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• v.4
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• pp.111-134
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• 2018

The purpose of this study is to understand the principles of Balletfit and its program structure and to establish Balletfit's effects on body shape change and postural correction. Interview, the most commonly used method of qualitative research, was chosen as the research method. Ten Balletfit class participants, who have attended private lessons twice per week, for three to six months period of time, were selected. These participants were chosen from participants of private lessons instead of group lessons for in-depth insights. The research was limited to a small group of participants and therefore, it is difficult to standardize the result. Also, because this study is based on the opinions of the participants, not by a posture measuring device, the accuracy of the result is limited as well. The followings are the conclusion of this research. First, the participation motive was either internet research or acquaintance's recommendation. Secondly, the effort to change the body shape. After experiencing Balletfit classes, the participants became aware of their body and made an effort to recover their posture by holding the stomach tight and sitting up correctly. Thirdly, their posture became ideal. Most participants became aware of what an ideal posture is and as their body became ideal, the participants also recovered their health by becoming aware of their inner and outer body. Lastly, they tend to prefer beautiful body line. After the experience, all participants became interested in the body line and preferred to build a beautiful body line with correct postures. The most significant effect of Balletfit was the body line. Therefore, the experience of Balletfit develops the inner and outer body awareness and also can be consider to effect the change of the body shape. Balletfit will become a satisfying exercise for modern people, who desire a beautiful, healthy body.

• 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.

• 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.

• 건강소식
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• v.31 no.8 s.345
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• pp.6-13
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• 2007

허리는 요추(허리척추뼈), 척추골사이의 디스크(추간판), 척추와 디스크 주위의인대, 척수와 신경, 요추의 근육, 골반과 복부내의 기관들로 구성되어 있다. 우리 몸에서 고장이 잘 나는 곳은 움직임이 많은 곳이다. 사지도 움직임이 많은 관절에 고장이 잘 생긴다. 척추의 움직임이 많은 곳은 허리이다. 허리는 매우 불안정하여 전 인구의 약80%가 한번은 통증을 경험한다고 한다. 이러한 허리통증은 일반적으로 일상생활에서의 잘못된 자세와 생활습관에 기인하는 경우가 많다. 수술이나 치료 후에도 자세와 생활습관을 교정하지 못하면 재발의 경우가 있는 등 환자 자신이 허리통증에 대한 이해와 노력이 없으면 궁극적인 치료를 기대하기 어려우므로 환자 자신의 관심과 노력이 무엇보다 중요하다.이번 호에서는 인체의 신비 허리에 대해 척추전문에스병원 이승철원장과 경희대학교 동서신의학병원 척추센터 김기택 교수의 도움말로 알아본다.