• Title/Summary/Keyword: 거북목

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Skeleton-Based Data Learning Framework to Efficiently and Accurately Find Text Neck Posture (거북목 자세를 효율적이고 정확하게 찾기 위한 뼈대 기반 데이터 학습 프레임워크)

  • Na, Hong Eun;Kim, Jong-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.361-364
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    • 2022
  • 본 논문에서는 스마트 기기를 사용할 시 자세가 거북목 자세인지 아닌지 판별하는 시스템을 제안한다. 거북목 증후군이란 목이 구부정하게 앞으로 나오는 자세를 오래 취해 목이 일자목으로 바뀌고 뒷목, 어깨, 허리 등에 통증이 생기는 증상을 말하며, 수술이나 약물치료보다 평소의 자세 습관을 고치는 방법이 효과적이다. 기존의 연구들은 노트북에 내장되어있는 웹캠을 이용한 CNN기반의 학습모델은 영상의 명도와 학습 데이터 등에 많은 영향을 받고 학습 데이터를 모을 때 초상권 문제로 수집이 어렵다. 본 논문에서는 이러한 문제를 예방하고자 Openpose 오픈 소스를 이용한 뼈대를 기반으로 측면에서의 앉은 자세를 한습 모델로 실시간 검증하여, 거북목 자세인지 아닌지를 효율적이고 정확하게 판별한다.

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Implementation of Turtle Neck Syndrome Diagnosis using CNN (CNN을 이용한 거북목 증후군 진단기의 구현)

  • Son, Dong-Hyeop;Jung, Yuchul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.7-10
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    • 2021
  • 최근 스마트폰과 컴퓨터 등의 비중이 커지면서 거북목 증후군의 관심사가 커졌다. 거북목 증후군은 잘못된 자세로 인해 어깨의 근육과 인대가 늘어나 통증이 생기는 증상을 의미한다. 이러한 잘못된 자세에는 대표적으로 일자목과 역c자목이 있으며 일자목은 7개의 목뼈로 이루어진 경추라인이 c자 라인에서 일직선으로 뼈의 형태가 바뀌어 디스크가 일어나 통증을 유발하는 증상이고 역c자목은 정상의 목뼈 구조를 잃어버린 형태로 곧 디스크를 보이며 고개를 드는 것이 힘드며 구부정한 자세를 취하게 되는 증상이다. 본 연구에서는 컨볼루션 신경망 (CNN) 학습 모델을 구현하여 주어진 자세가 올바른 자세인지 일자목인지 c자목인지를 진단할 수 있는 분류기를 구현하였다. 또한, 최근 코로나 사태로 인해 마스크 장착이 일상화되고 있는데, 추가 데이터를 보강하여, 마스크 착용상태에서도 적용가능한 모델로 확장하였다.

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Turtle Neck Syndrome Posture Correction Service Using CNN-based Learning Model (CNN기반의 학습모델을 활용한 거북목 증후군 자세 교정 시스템)

  • Han, Ji-Ye;Park, Jin-Ho
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.47-55
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    • 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.

Triggers of turtle neck syndrome according to pharmacist's height and tabletop height (약사의 신장과 탁상높이에 따른 거북목 증후군 유발요인)

  • Eun-Gwang Lee;Min-Sun Lee
    • Journal of Digital Policy
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    • v.3 no.2
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    • pp.15-22
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    • 2024
  • This study was conducted to identify the cause of turtle neck syndrome that occurs in a pharmacists and the relationship between the height and table height and to suggest a table height appropriate for height. By conducting correlation and regression analysis of the turtle neck index, NDI, and VAS. As a result of calculating, the relationship between the pharmacist's height and table height, which is good for preventing turtle neck, is less than about 65cm, and it was proven that the height of the table is a major factor in causing or worsening turtle neck syndrome. It is believed that further follow-up research is needed to determine whether the calculated through this paper is effective and can be applied to other occupational groups.

Effect on Discomfort and Attention Through Analysis of Resting-State Brain Wave Activity in Forward Head Posture (휴식시 뇌파 활성 분석을 통한 거북목 자세의 불편함 및 주의력에 미치는 영향 연구)

  • Ju-Yeon Jung;Chang-Ki Kang
    • Science of Emotion and Sensibility
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    • v.27 no.2
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    • pp.105-112
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    • 2024
  • Forward head posture (FHP) is a representative postural deformation problem in people today, causing various physical and mental problems, but the effect of FHP on discomfort or distraction during rest is not well known. Accordingly, this study aims to demonstrate the effect of FHP on these brain functions by analyzing brain wave signals at rest. Thirty-three heavy users of computers participated in this study, and all of them exhibited functional FHP when using computers. All participants performed using both normal posture and FHP, and their brain waves were measured at rest while maintaining each posture for five minutes without stimulation. Brain wave signals were acquired using EEG with 32 channels, and through frequency analysis, changes in delta and beta waves, known to be closely related to discomfort and attention, were compared and analyzed depending on the posture. As a result, FHP showed a significant decrease in delta waves in nine channels compared to the normal posture, and a significant increase in beta waves in 14 channels, showing that FHP does affect brain function at rest. These changes are consistent with those that occur under conditions of psychological discomfort and distraction, and they appear to be because the increased discomfort caused by musculoskeletal changes in the FHP also affects brain activity. These can provide important results showing that posture correction can help improve brain function and psychological state at rest.

A Preliminary Study on Visual Display Terminal Syndrome Prevention System Using Ultrasonic Sensor (초음파 센서를 이용한 거북목 증후군 예방 시스템에 관한 기초연구)

  • Lee, Yoo-Jung;Im, Do Hwi;Yoo, Soo-Han;Na, Ye-Ji;Wang, Changwon;Min, Se Dong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.890-892
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    • 2016
  • 본 연구는 초음파 센서를 사용하여 사용자와 모니터 사이의 거리측정을 통해 거북목 증후군 예방 시스템 개발에 대한 기초연구로 수행하였다. 자세는 바른 자세, 중간 자세, 거북목 유발 자세 총 3가지로, 각 피험자의 역치값을 통해 자세를 구분하였다. 피험자는 총 4명으로 실험을 통해 설정해 놓은 역치값 이상의 신호가 들어왔을 때, LED를 켜서 사용자의 현재 자신의 자세에 대해 피드백을 주도록 구성하였다. 본 연구의 결과를 바탕으로 향후 거북목 증후군 예방과 관련된 다양한 연구에 도움이 될 것으로 사료된다.

Effect of Shoulder stabilization exercise and McKenzie Exercise on Forward Head Posture (거북목을 가진 사람에게 메켄지 폄운동과 어깨안정화운동이 앞쪽머리자세에 미치는 영향)

  • Lee, Jun-cheol
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.227-235
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    • 2019
  • The purpose of this study was to investigate the effects of cervical vertebral height and shoulder stabilization on anterior head posture in people with turtle neck. The subjects of this study consisted of normal and healthy people with 30 turtle necks. Subjects were randomly assigned to shoulder stabilization exercise and cervical vertebrae exercise (30 men, 15 men and 15 women, height: $168.67{\pm}6.51$, $22.33{\pm}8.27$, $65.03{\pm}11.98$, and $28.66{\pm}1.91$), In the experimental group, shoulder stabilization exercise and cervical spine exercise were performed for 4 weeks. Deep neck flexor, leavator scapular, upper trapezius, rhomboid, and lower trapezius showed significant differences in shoulder stabilization and cervical vertebrae before and after the experiment. As a result, the CVA value decreased significantly and the muscle activity value increased significantly when exercise and Mckenzie program were applied. These results show that exercise and Mckenzie programs have a positive effect on turtle neck improvement.

A Study on Correction and Prevention System of Real-time Forward Head Posture (실시간 거북목 증후군 자세 교정 및 예방 시스템 연구)

  • Woo-Seok Choi;Ji-Mi Choi;Hyun-Min Cho;Jeong-Min Park;Kwang-in Kwak
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.3
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    • pp.147-156
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    • 2024
  • This paper introduces the design of a turtle neck posture correction and prevention system for users of digital devices for a long time. The number of forward head posture patients in Korea increased by 13% from 2018 to 2021, and has not yet improved according to the latest statistics at the present time. Because of the nature of the disease, prevention is more important than treatment. Therefore, in this paper, we designed a system based on built-camera in most laptops to increase the accessiblility of the system, and utilize the features such as Pose Estimation, Face Landmarks Detection, Iris Tracking, and Depth Estimation of Google Mediapipe to prevent the need to produce artificial intelligence models and allow users to easily prevent forward head posture.

An Accurate Forward Head Posture Detection using Human Pose and Skeletal Data Learning

  • Jong-Hyun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.87-93
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    • 2023
  • In this paper, we propose a system that accurately and efficiently determines forward head posture based on network learning by analyzing the user's skeletal posture. Forward head posture syndrome is a condition in which the forward head posture is changed by keeping the neck in a bent forward position for a long time, causing pain in the back, shoulders, and lower back, and it is known that daily posture habits are more effective than surgery or drug treatment. Existing methods use convolutional neural networks using webcams, and these approaches are affected by the brightness, lighting, skin color, etc. of the image, so there is a problem that they are only performed for a specific person. To alleviate this problem, this paper extracts the skeleton from the image and learns the data corresponding to the side rather than the frontal view to find the forward head posture more efficiently and accurately than the previous method. The results show that the accuracy is improved in various experimental scenes compared to the previous method.

A Development of Turtle Neck Posture Notification Application using Gyro Sensor (자이로센서를 활용한 거북목 자세 알림 애플리케이션 개발)

  • Hong, Ju-Yeon;Lee, Min-Ji;Yang, Hyeon-Jin;Choi, Bo-Sun;Kim, Jin-Man;Lee, Eui Chul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.860-862
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    • 2018
  • 오늘날, 현대인들의 생활 속에서 스마트폰을 빼놓을 수 없을 만큼 스마트폰을 장시간 이용하는 사람들이 많다. 스마트폰 이용시간이 늘어날수록 목을 숙인 자세를 유지하게 되며, 이는 VDT 증후군 중 거북목증후군을 발생시킬 가능성이 높다. 본 논문에서는 사용자의 목 각도를 유추해 거북목 자세가 일정시간 유지될 때 알림기능을 제공하는 애플리케이션을 개발하였다. 애플리케이션을 통해 스마트폰 사용자들이 자신의 자세를 인지하고 올바른 자세로 교정할 수 있도록 유도하였다. 본 애플리케이션은 스마트폰의 기울기에 따라 사용자의 목각도를 추측하기 때문에, 스마트폰의 기울기와 목각도간의 상관성 분석 실험을 수행하여 애플리케이션의 유효성을 입증하였다.