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

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.15-16
• /
• 2011

최근 골프에 관한 관심도가 급증하고 있다. 현재 일반인들이 전문적인 골프 자세 교육을 받을 수 있는 교육시설은 비교적 흔하지 않다. 골프에서는 골프공의 위치나 양발너비가 퍼팅에 중요한 요인으로 작용한다. 본 연구는 퍼팅자세를 교정하는데 있어 도움을 주고자 하는 목적을 가지고 진행되었다. 적외선센서를 사용하여 비교적 간편하게 골퍼들의 신발에 탈부착을 할 수 있고 이용하기 간편하게 디자인 하였으며, 이는 보다 정확한 퍼팅자세를 훈련 하는데 도움이 될 수 있을 것이다. 더 나아가 이 실험은 골프뿐만 아니라 자세교정을 필요로 하는 스포츠분야에 적용될 수 있으며 보다 객관화된 데이터를 빠르고 정확하며 실시간으로 측정할 수 있음으로 더 많은 분야에서 사용자들에게 도움이 될 것이라고 사료된다.

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

• The Journal of the Korea Contents Association
• /
• v.20 no.7
• /
• pp.47-55
• /
• 2020

Along with the increased use of smart devices, the incidence of turtle neck syndrome among modern people has increased. Turtle neck syndrome is a posture in which the head is forward compared to the torso due to longer front muscles in the neck and shorter upper muscles, and it is more effective to fix the usual posture habits than surgery or medication. Thus, in this paper, a system is proposed to detect and warn posture that can cause turtle neck syndrome in real time. Image data of correct posture and turtle neck posture are collected to create a CNN-based learning model. Using only the webcam(Built-in camera), the sitting position that enters the camera is verified in real time through the learning model, and if it is a turtle neck position, it generates a warning sound and induces the correct posture. The system can induce people to correct their usual posture habits to treat turtle neck syndrome and prevent more serious diseases such as neck discs.

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

• Trans-
• /
• v.4
• /
• pp.111-134
• /
• 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.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.423-426
• /
• 2017

최근 스마트 기기의 사용 증가로 인해 자세 관련 질환도 크게 증가하고 있다. 이는 올바르지 않은 자세로 스마트 기기를 사용하는 것에 기인한 것으로 많은 사람들이 자신의 자세를 인식하지 못한 채 올바르지 않은 자세로 스마트 기기를 사용한다. 본 연구에서는 컴퓨터 및 스마트폰의 사용자가 자신의 앉은 자세 정보를 데이터로 인식하기 위해서 키넥트 센서에서 제공하는 골격 모델의 특징점을 추출하여 사용하였다. 이를 바탕으로 앉은 자세의 각도를 계산하여 자세의 올바름의 정도를 알려주는 앉은 자세 측정값 모델 방법과 이 모델에 기반한 시스템을 제안하였다. 본 논문에서는 제안하는 자세 측정 모델 및 시스템의 설계 및 구현을 설명하였고, 실험을 통해서 제안된 모델의 상용화 가능성을 살펴보았다.

• Journal of the Institute of Convergence Signal Processing
• /
• v.24 no.1
• /
• pp.15-20
• /
• 2023

In general, maintaining an incorrect sitting posture for a long time is widely known to adversely affect the spine. Recently, several researchers have been interested in the causal relationship between incorrect sitting posture and spinal diseases, and have been studying methods to precisely measure changes in sitting or standing posture to prevent spinal diseases. In previous studies, we have developed a sensor device capable of measuring real-time posture change, applied a momentum calculation algorithm to improve the accuracy of real-time posture change measurement, and verified the accuracy of the postural change measurement sensor. In this study, we developed a posture measurement and analysis device that considers changes in the center of body pressure through the developed sitting pressure measurement, and it confirmed the sensor as an auxiliary tool to increase the accuracy of posture correction training with improving the user's visual feedback.

• Journal of the Institute of Convergence Signal Processing
• /
• v.21 no.2
• /
• pp.80-85
• /
• 2020

Recently the incidence of musculoskeletal disorders in students and office workers is increasing, and the necessity of maintaining correct posture and corrective training is required, but related research is insufficient. In the previous study, a membrane sensor or a pressure sensor was placed on the seat cushion to see the deviation of the body weight, or a sensor that restrained the user was attached to measure the position change. In this study, a sensor device for detecting a position change in consideration of wearing comfort was developed, and the measured angle was verified through an analysis app. A sensor device consisting of an IMU sensor is attached to the cervical spine and vertebra spine to measure the position transformation in the sitting position. The change value of the position measured by the two sensors was converted into an angle, and the angle value is displayed in real time through the analysis app. In this study, the possibility of measuring the real-time change value according to the change in position, the convenience of wearing, and the tendency of angle measurement were proved. Future research should proceed with more precise angle calculation and correction of motion noise.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.07a
• /
• pp.137-138
• /
• 2019

최근에는 청소년과 어른 대상으로한 운동을 많이 함으로써 운동은 그 어느 때 보다 인기를 얻고 있다. 하지만 그에 따른 사고도 점차 많이 일어나고 있다. 이는 신체활동 능력의 높이는 동시에 운동자세교정을 해주고 사고방지를 하고자 스포츠, 교육, 3D 가상현실 일부 사용되는 몰입형 프로그램으로 설계 했다. 본 프로그램에서는 사용자 동작을 효과적으로 인식 할 수 있는 키넥트(Kinect)를 사용하여 인터페이스를 제작하였고 향후 연구를 통해 운동자세효과를 검증하고 다양한 운동 그리고 재활치료등 개발할 필요가 있음을 시사한다.