利用KINECT运动跟踪技术评价师范生授课技能的实践研究

Practical Research on Evaluation of Teaching Skills of Normal Students by Using KINECT Motion Tracking Technology

提高师范生的授课技能是师范院校培养计划的重要内容,目前的培养方式是学生与老师的一对一指导:学生授课,老师听课,然后点评。学生的数量相当庞大,这将花费指导老师的大量的时间进行指导,庞大的指导工作量使得指导老师难以做出客观的评价,能否利用现代技术寻求师范生授课技能的客观评价标准是此论文的主要工作。随着人脸检测与跟踪技术飞速发展,一些新的视觉设备使人体的跟踪成为了可能,例如微软公司的开发的kinect三维跟踪系统,有效地实现人体动作的三维跟踪,能对师范生的授课动作和位置进行有效地跟踪。本系统采用kinect硬件平台,利用微软公司的VisualStudio开发平台,结合opencv函数库实现了对师范生授课动作的有效跟踪,有效地刻画出了授课者的头部坐标数据及运动轨迹,无需再去观看冗长的录制视频来评判师范生授课状态,为评价师范生的上课技能提出了一种客观的评价方法。

Improving the teaching skills of normal students is an important part of the training plan for normal colleges. The current training method is one-to-one instruction between students and teachers: students teach, teachers attend classes, and then comment. The number of students is quite large, which will cost the instructor a lot of time to guide. The huge amount of guidance work makes it difficult for the instructor to make an objective evaluation. Can you use modern technology to seek the objective evaluation criteria of the teacher’s teaching skills? The main job. With the rapid development of face detection and tracking technology, some new visual devices have made it possible to track the human body. For example, the kinect three-dimensional tracking system developed by Microsoft Corporation can effectively realize the three-dimensional tracking of human body movements and can teach the students. Actions and locations are effectively tracked. This system uses kinect hardware platform, uses Microsoft’s Visual Studio development platform, combined with opencv function library to achieve effective tracking of the teacher’s teaching actions, effectively depicting the instructor’s head coordinate data and motion trajectory, no need to go Watching the lengthy recorded video to judge the status of the teacher’s teaching, and providing an objective evaluation method for evaluating the teacher’s class skills.