• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.285-294
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• 2021

This study developed a responsive healthcare system that users can easily use in real life to prevent turtle neck syndrome by posture correction. We propose a system that naturally induces direct posture improvement by adjusting the height with a responsive cradle through a turtle neck discrimination algorithm detecting the turtle neck posture in real time using a webcam. The turtle neck algorithm was developed based on machine learning, using the points that the distance relationship between the jaw line and the shoulder varies depending on the posture. For the younger age group, which is particularly problematic due to the increase in the use of IT devices, image data in different situations according to the height and posture of the cradle was collected and learned as a support vector machine classifier. In addition, a height-adjustable cradle that can support a laptop has been created and expanded into a responsive cradle that can be controlled with software by interlocking with the Arduino. Therefore, this service enables posture correction of many modern people suffering from turtle neck syndrome and will become an essential platform in the increasing online environment in the non-contact era.

• 한국전문물리치료학회지
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• 제30권3호
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• pp.174-183
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• 2023

Background: Office workers experience neck or back pain due to poor posture, such as flexed head and forward head posture, during long-term sedentary work. Posture correction is used to reduce pain caused by poor posture and ensures proper alignment of the body. Several assistive devices have been developed to assist in maintaining an ideal posture; however, there are limitations in practical use due to vast size, unproven long-term effects or inconsistency of maintaining posture alignment. We developed a headphone and necklace posture correction system (HANPCS) for posture correction using an inertial measurement unit (IMU) sensor that provides visual or auditory feedback. Objects: To demonstrate the test-retest reliability and concurrent validity of neck and upper trunk flexion measurements using a HANPCS, compared with a three-dimensional motion analysis system (3DMAS). Methods: Twenty-nine participants were included in this study. The HANPCS was applied to each participant. The angle for each action was measured simultaneously using the HANPCS and 3DMAS. The data were analyzed using the intraclass correlation coefficient (ICC) = [3,3] with 95% confidence intervals (CIs). Results: The angular measurements of the HANPCS for neck and upper trunk flexions showed high intra- (ICC = 0.954-0.971) and inter-day (ICC = 0.865-0.937) values, standard error of measurement (SEM) values (1.05°-2.04°), and minimal detectable change (MDC) values (2.92°-5.65°). Also, the angular measurements between the HANPCS and 3DMAS had excellent ICC values (> 0.90) for all sessions, which indicates high concurrent validity. Conclusion: Our study demonstrates that the HANPCS is as accurate in measuring angle as the gold standard, 3DMAS. Therefore, the HANPCS is reliable and valid because of its angular measurement reliability and validity.

• 디지털산업정보학회논문지
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• 제13권4호
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• pp.81-90
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• 2017

This paper presents a smart seat for correction of driver posture while driving. We introduce good postures with seat height, seat angle, head height, back of knees, distances of foot pedals, tilt of seat, etc. There have been some studies on correction of good posture while driving, effects of driving environment on driver's posture, sitting strategies based on seating pressure distribution, estimation of driver's standard postures, and others. However, there are a few studies on guide of good postures while driving for problem of driver's posture using machine leaning. Therefore, we suggest a smart seat for correction of driver's posture based on machine leaning, 1) developed the system to get postures by 10 piezoelectric effect element, 2) collect piezoelectric values from 37 drivers and 28 types of cars, 3) suggest 4 types of good postures while driving, 4) analyze test postures by kNN. As the results, we can guide good postures for bad or problems of postures while driving.

• 센서학회지
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• 제27권2호
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• pp.86-92
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• 2018

In recent times, motion capture technology using inertial measurement unit (IMU) sensors has been actively used in sports. In this study, we developed a canoe paddle, installed with an IMU and a water level sensor, as a system tool for training and calibration purposes in water sports. The hardware was fabricated to control an attitude heading reference system (AHRS) module, a water level sensor, a communication module, and a wireless charging circuit. We also developed an application program for the mobile device that processes paddling motion data from the paddling operation and also visualizes it. An AHRS module with acceleration, gyro, and geomagnetic sensors each having three axes, and a resistive water level sensor that senses the immersion depth in the water of the paddle represented the paddle motion. The motion data transmitted from the paddle device is internally decoded and classified by the application program in the mobile device to perform visualization and to operate functions of the mobile training/correction system. To conclude, we tried to provide mobile knowledge service through paddle sport data using this technique. The developed system works reasonably well to be used as a basic training and posture correction tool for paddle sports; the transmission delay time of the sensor system is measured within 90 ms, and it shows that there is no complication in its practical usage.

• 한국전문물리치료학회지
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• 제30권3호
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• pp.221-229
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• 2023

Background: In modern society, the use of computers accounts for a large proportion of our daily lives. Although substantial research is being actively conducted on musculoskeletal diseases resulting from computer use, there has been a recent surge in interest in improving the working environment for prevention. Objects: This study aimed to examine the effects of posture correction feedback (PCF) on changes in neck posture and muscle activation during computer typing. Methods: The participants performed a computer typing task in two sessions, each lasting 16 minutes. The participant's dominant side was photographed and analyzed using ImageJ software to verify neck posture. Surface electromyography (EMG) was used to confirm the participant's cervical erector spinae (CES) and upper trapezius muscle activities. The EMG signal was analyzed using the percentage of reference voluntary contraction and amplitude probability distribution function (APDF). In the second session, visual and auditory feedback for posture correction was provided if the neck was flexed by more than 15° in the initial position during computer typing. A 20-minute rest period was provided between the two sessions. Results: The neck angle (p = 0.014), CES muscle activity (p = 0.008), and APDF (p = 0.015) showed significant differences depending on the presence of the PCF. Furthermore, significant differences were observed regarding the CES muscle activity (p = 0.001) and APDF (p = 0.002) over time. Conclusion: Our study showed that the feedback system can correct poor posture and reduces unnecessary muscle activation during computer work. The improved neck posture and reduced CES muscle activity observed in this study suggest that neck pain can be prevented. Based on these results, we suggest that the PCF system can be used to prevent neck pain.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.655-657
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• 1999

In this paper we will introduce an posture error reduction algorithm for Mobile Robot. We classified odometry error into two categories. and focus on systematic odometry error correction only. Because it is the primary reason for mobile robot navigation. For this procedure we used some robot specifications and modeled robot behavior. Through some experiment, we could obtain new system specs. After modeling, Robot navigation precision was improved.

• 융합신호처리학회논문지
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• 제20권2호
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• pp.99-104
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• 2019

최근 현대인들은 잘못된 자세로 인해 다양한 근골격계 질환의 발병률이 높아지고 있다. 근골격계 질환의 근본적인 원인은 잘못된 자세 습관으로 발병한 경우가 많다. 근골격계 질환은 바른 자세 습관을 통해 예방이 가능하지만, 자세를 스스로 인식하여 교정하기는 쉽지 않다. 지속적인 자세 모니터링을 위하여 다양한 연구들이 수행되었으나, 기존 계측 시스템은 구속성 및 고비용으로 인해 일상생활에 적용하기가 적합하지 않다. 본 논문은 일상생활에서 착석 자세 모니터링을 통해 자발적으로 자세 교정을 유도할 수 있는 FSR 센서 어레이를 이용한 자세 판별 시스템을 구현하였다. 구현된 시스템은 방석 형태로 설계되어 기존에 보유하고 있는 의자에 적용이 용이하다. 또한, 일상생활에서 가장 대표적인 5가지 자세를 판별할 수 있으며, 안드로이드 기반의 스마트폰 모니터링 애플리케이션을 통해 실시간으로 모니터링이 가능하다. 시스템의 성능 평가를 위하여 각각의 자세를 50회씩 반복하여 측정하였으며, 98.88%의 높은 자세 판별 정확도를 확인하였다.

• 전기학회논문지
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• 제64권6호
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• pp.940-947
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• 2015

A Sitting posture is a very important issue for moderns who is mostly sedentary. Also, a wrong sitting posture causes back-pain and spinal disease. Many researchers have been proposed numerous approaches that classifying and monitoring for a sitting posture. In this paper, we proposed a real-time sitting posture monitoring system that was developed to measure pressure distribution in the human body. The proposed system consists of a pressure sensing module (six pressure sensors), data acquisition and processing module, a communication module and a display module for an individual sitting posture monitoring. The developed monitoring system can classify into five sitting postures, such as a correct sitting, sitting on forward inclination, leaning back sitting, sitting with a right leg crossed and a left leg crossed. In addition, when a user deviates from the correct posture, an alarm function is activated. We selected two kinds of chairs, one is rigid material and fixed form, the other one is a soft material and can adjust the height of a chair. In the experiments, we observed appearance changes for subjects in consequence of a comparison between before the correction of posture and after the correction of posture when using the proposed system. The data from twenty four subjects has been classified with a proposed classifier, achieving an average accuracy of 83.85%, 94.56% when the rigid chair and the soft chair, respectively.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.369-372
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• 2021

요즘 시대에는 사람들이 학업이나 일 때문에 앉아있는 시간이 많아지고 있다. 또한 휴식 시간에도 사람들이 컴퓨터, 스마트폰, 태블릿 PC를 많이 사용하므로 자세가 더 나빠지고 있다. 장시간 동안 이러한 자세를 유지하면 목, 어깨, 척추와 관련된 근골격계에 문제가 발생한다. 또한 육체 피로와 자세 변형 등의 문제는 다양한 연령대로 확대될 것으로 추정된다. 따라서 본 연구에서 개발 중인 시스템의 핵심 기능은 본인의 자세가 올바른지 확인하고 제작된 모바일 애플리케이션을 사용하여 경고 알림을 수신하게 하는 것이다. 이를 위해 휨 센서, 압력 센서, 기울기 센서를 부착하여 활용한다. 휨 센서는 자세의 휘어짐을 감지하여 비교하여 아두이노 우노 보드로 송신한다. 또한 몸의 밸런스, 기울기 등의 정보를 취합하여 지금의 자세가 올바른지 판단한다. 자세가 올바르지 않을 때 경고하는 방법은 모바일 애플리케이션을 통하여 알림을 받으며, 사용자와 보호자의 애플리케이션에 본인의 자세가 올바르지 않는다는 것을 표시한다. 본 연구에서 제안한 시스템을 통하여서 앞으로의 자세관련 연구에 큰 도움이 될것이 기대된다.

• 한국정보전자통신기술학회논문지
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• 제4권4호
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• pp.231-235
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• 2011

최근 올바르지 못한 자세로 인하여 척추 측만증 등의 질환을 가지고 생활하는 사람의 수가 늘고 있다. 이러한 다양한 질환의 치료를 위한 자세 교정은 시간과 비용이 소요되며 지속적인 관찰이 필요하다. 본 논문에서는 소형 기울기 센서를 목과 허리에 장착하여 신체의 기울기를 실시간으로 관찰함으로써 자세 이상을 기록하고 경고하여 불완전한 자세를 교정하는 보조 시스템을 제안하였다. 가속도와 자이로 센서를 이용하여 신체의 올바르지 못한 자세의 기울임을 감지하여 경고 신호를 내 보내고 시간에 따른 자세의 변화를 외장 메모리에 기록하여 분석할 수 있도록 하였다.