Automatic Evaluation of Learning Behaviors for Online Lectures by OpenPose
Automatic Evaluation of Learning Behaviors for Online Lectures by OpenPose
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OpenPose 在线讲座学习行为自动评估
DOI：
10.1109/lifetech53646.2022.9754894
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Takako Akakura
中科院分区：
文献类型：
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作者：
Taisuke Kawamata;Takako Akakura
为了防止学习者做一些与在线讲座无关的事情，我们提出了一种学习行为的自动评估方法。该方法通过OpenPose提取学习者和教师的姿态，建立一个模型，从学习者的姿态估计在线授课中教师在j秒内的姿态，并通过测量估计值与实际值的差值进行评估。实验结果表明，该方法可以检测出90%左右的不相关动作。
To prevent that learners do something unrelated to an online lecture, we proposed an automatic evaluation method of learning behavior. This method extracted the pose of learners and a teacher by OpenPose, constructed a model that estimate to a teacher’s pose at j sec in online lecture from a learner’s one, and evaluated by measuring the difference between estimated and actual values. The result of an experiment showed this could detect the unrelated actions about 90%.