{"title":"自动图像捕获和角度跟踪系统在运动员功能性运动筛选中的应用","authors":"H. Chang, Y. Hsueh, C. Lo","doi":"10.1109/ICKII.2018.8569050","DOIUrl":null,"url":null,"abstract":"In recent years, the Functional Movement Screen (abbreviation: FMS) has been used to assess athletes’ movement patterns and quality in recent years. However, the score of FMS system are assessed by manual observation. Therefore, the purpose of this study is to develop an automatic Image-capture and angle tracking system to assist and asses the movement pattern for athletes by comparing the results when using self-made angle tracking system and free Kinovea motion analysis system during performing the FMS screen. Twelve volleyball athletes and 12 track and field athletes are recruited in our study. Two webcams were placed in front and on the side of FMS equipment to capture the image and body angles respectively. In addition, one of the researchers manually loaded the recorded image into free motion analysis software (Kinovea, Vision 8.25) to capture and mark the angle. The results were shown that a moderate to high positive correlation of the joint angles between 2 systems in most of the FMS movement patterns $(p\\lt.05)$. When compared with the volleyball and track and field athletes, there were significantly different in the hip and ankle angle of deep squat, the hip and knee angle of the in-line lunge, and shank angle of hurdle step $(p\\lt.05)$. In conclusion, the advantage of the automatic image-capture and angle tracking system applied on FMS are included automatic image recognition and labelled, fast and accuracy of angle tracking, data reports exported, and inexpensive equipment. The automatic image-capture and angle tracking system can assist the FMS to evaluate the bilateral limb or torso deficit or asymmetric in various sports.","PeriodicalId":170587,"journal":{"name":"2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Automatic Image-Capture and Angle Tracking System Applied on Functional Movement Screening for Athletes\",\"authors\":\"H. Chang, Y. Hsueh, C. Lo\",\"doi\":\"10.1109/ICKII.2018.8569050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, the Functional Movement Screen (abbreviation: FMS) has been used to assess athletes’ movement patterns and quality in recent years. However, the score of FMS system are assessed by manual observation. Therefore, the purpose of this study is to develop an automatic Image-capture and angle tracking system to assist and asses the movement pattern for athletes by comparing the results when using self-made angle tracking system and free Kinovea motion analysis system during performing the FMS screen. Twelve volleyball athletes and 12 track and field athletes are recruited in our study. Two webcams were placed in front and on the side of FMS equipment to capture the image and body angles respectively. In addition, one of the researchers manually loaded the recorded image into free motion analysis software (Kinovea, Vision 8.25) to capture and mark the angle. The results were shown that a moderate to high positive correlation of the joint angles between 2 systems in most of the FMS movement patterns $(p\\\\lt.05)$. When compared with the volleyball and track and field athletes, there were significantly different in the hip and ankle angle of deep squat, the hip and knee angle of the in-line lunge, and shank angle of hurdle step $(p\\\\lt.05)$. In conclusion, the advantage of the automatic image-capture and angle tracking system applied on FMS are included automatic image recognition and labelled, fast and accuracy of angle tracking, data reports exported, and inexpensive equipment. The automatic image-capture and angle tracking system can assist the FMS to evaluate the bilateral limb or torso deficit or asymmetric in various sports.\",\"PeriodicalId\":170587,\"journal\":{\"name\":\"2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)\",\"volume\":\"212 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICKII.2018.8569050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICKII.2018.8569050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
近年来,功能性运动量表(Functional Movement Screen,简称FMS)被广泛应用于运动员运动模式和运动质量的评估。然而,FMS系统的评分是通过人工观察来评定的。因此,本研究的目的是开发一种自动图像捕获和角度跟踪系统,通过比较自制角度跟踪系统和免费Kinovea运动分析系统在FMS屏幕表演过程中的结果,来辅助和评估运动员的运动模式。我们的研究招募了12名排球运动员和12名田径运动员。在FMS设备的前部和侧面分别放置两个网络摄像头,分别捕捉图像和身体角度。此外,其中一名研究人员手动将记录的图像加载到自由运动分析软件(Kinovea, Vision 8.25)中,以捕获和标记角度。结果表明,在大多数FMS运动模式中,两个系统之间的关节角具有中等到高度的正相关关系$(p\lt.05)$。与排球、田径运动员相比,深蹲髋、踝关节角度、直线弓步髋、膝关节角度、跨栏步小腿角度均有显著差异(p\lt.05)。综上所述,应用于FMS的自动图像捕获和角度跟踪系统具有图像自动识别和标记、角度跟踪快速准确、数据报告输出、设备价格低廉等优点。自动图像捕获和角度跟踪系统可以帮助FMS评估各种运动中的双侧肢体或躯干缺陷或不对称。
Automatic Image-Capture and Angle Tracking System Applied on Functional Movement Screening for Athletes
In recent years, the Functional Movement Screen (abbreviation: FMS) has been used to assess athletes’ movement patterns and quality in recent years. However, the score of FMS system are assessed by manual observation. Therefore, the purpose of this study is to develop an automatic Image-capture and angle tracking system to assist and asses the movement pattern for athletes by comparing the results when using self-made angle tracking system and free Kinovea motion analysis system during performing the FMS screen. Twelve volleyball athletes and 12 track and field athletes are recruited in our study. Two webcams were placed in front and on the side of FMS equipment to capture the image and body angles respectively. In addition, one of the researchers manually loaded the recorded image into free motion analysis software (Kinovea, Vision 8.25) to capture and mark the angle. The results were shown that a moderate to high positive correlation of the joint angles between 2 systems in most of the FMS movement patterns $(p\lt.05)$. When compared with the volleyball and track and field athletes, there were significantly different in the hip and ankle angle of deep squat, the hip and knee angle of the in-line lunge, and shank angle of hurdle step $(p\lt.05)$. In conclusion, the advantage of the automatic image-capture and angle tracking system applied on FMS are included automatic image recognition and labelled, fast and accuracy of angle tracking, data reports exported, and inexpensive equipment. The automatic image-capture and angle tracking system can assist the FMS to evaluate the bilateral limb or torso deficit or asymmetric in various sports.