基于Kinect传感器的立定跳远检测系统设计
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摘要
为提高学生体质健康测试速度和数据的准确性,对以Kinect传感器为核心捕捉立定跳远人体运动的检测方法进行了探讨。研究结果表明:采用Kinect传感器的飞行时间(TOF)测距原理和方法比传统测试立定跳远方法更具准确性,可实现高效、准确的立定跳远测试,并能对动作姿态进行判断。
In order to improve the speed of student's physical health test and the accuracy of data,detection method using Kinect sensor to capture the body movement in standing long jump is explored. The research results show that ranging principle of time of flight( TOF) and method using Kinect sensor is more accurate than the traditional method of standing long jump,which helps to realize efficient and accurate standing long jump test,and can judge the posture of action.
In order to improve the speed of student's physical health test and the accuracy of data,detection method using Kinect sensor to capture the body movement in standing long jump is explored. The research results show that ranging principle of time of flight( TOF) and method using Kinect sensor is more accurate than the traditional method of standing long jump,which helps to realize efficient and accurate standing long jump test,and can judge the posture of action.
引文
[1]张英利.基于Kinect运动捕捉的太极拳辅助训练系统研究[D].天津:河北科技大学,2016.
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[9] Belongie S,Malik J,Puzicha J. Shape matching and object recognition using shape contexts[J]. IEEE Trans on PAMI,2002,24(4):509-522.
[10] Ekelmann J,Butka B. Kinect controlled electro-mechanical skeleton[C]∥2012 Proceedings of IEEE Southeast Conf,2012.
[11] Jiang W,Xu K,Cheng Z Q,et al. Skeleton-based intrinsic symmetry detection on point clouds[J]. Graphical Models,2013,75:177-188.
[2]程雪莲,段渭军,高昂.基于Kinect的无接触式体质检测系统[J].传感器与微系统,2016,35(3):85-88.
[3]郑立国,罗江林,许舸.基于Kinect的动作捕捉系统的实现[J].吉林大学学报:工学版,2013,43(增刊):249-255.
[4] Lanzisera S,Zats D,Pister K S J. Radio frequency time-of-flight distance measurement for low-cost wireless sensor localization[J]. IEEE Sensors Journal,2011,11(3):837-845.
[5]李彬,谢翟.基于Kinect的非接触式呼吸检测系统[J].传感器与微系统,2017,36(3):107-109.
[6] Albitar C,Graebling P,Doignon C. Design of a monochromatic pattern for a robust structured light coding in image processing[C]∥2007 IEEE International Conference on Image Processing,ICIP 2007,San Antonio,TX,2007.
[7] Luong Q T,Faugeras O D. Self-calibration of a moving camera from point correspondences and fundamental matrices[J]. International Journal of Computer Vision,1997(22):261-289.
[8] Suma E A,Lange B,Rizzo S,et al. FAAST:The flexible action and articulated skeleton toolkit[C]∥2011 IEEE Virtual Reality(VR)Conference,2011:247-248.
[9] Belongie S,Malik J,Puzicha J. Shape matching and object recognition using shape contexts[J]. IEEE Trans on PAMI,2002,24(4):509-522.
[10] Ekelmann J,Butka B. Kinect controlled electro-mechanical skeleton[C]∥2012 Proceedings of IEEE Southeast Conf,2012.
[11] Jiang W,Xu K,Cheng Z Q,et al. Skeleton-based intrinsic symmetry detection on point clouds[J]. Graphical Models,2013,75:177-188.