A student monitoring method based on sight distance algorithm
The invention discloses a student monitoring method based on a visual distance algorithm, which comprises the following steps: a student terminal captures a face of a student in real time in a studentlearning process to obtain a captured image; According to the image analysis method, the actual dist...
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Format | Patent |
Language | Chinese English |
Published |
15.02.2019
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Abstract | The invention discloses a student monitoring method based on a visual distance algorithm, which comprises the following steps: a student terminal captures a face of a student in real time in a studentlearning process to obtain a captured image; According to the image analysis method, the actual distance between two eyes in captured image is determined. If the actual distance value exceeds a preset threshold range, the student's face is photographed in a predetermined time to obtain a face image; eye feature data, mouth feature data and eyebrow feature data from the facial image are extracted;Eye feature data, mouth feature data and eyebrow feature data match normal eye feature data, normal mouth feature data and normal eyebrow feature data in normal expression database respectively. If any of the eye feature data, the mouth feature data and the eyebrow feature data does not match, an alarm is sent out through the student terminal to prompt the student to improve the learning concentration. The invention can a |
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AbstractList | The invention discloses a student monitoring method based on a visual distance algorithm, which comprises the following steps: a student terminal captures a face of a student in real time in a studentlearning process to obtain a captured image; According to the image analysis method, the actual distance between two eyes in captured image is determined. If the actual distance value exceeds a preset threshold range, the student's face is photographed in a predetermined time to obtain a face image; eye feature data, mouth feature data and eyebrow feature data from the facial image are extracted;Eye feature data, mouth feature data and eyebrow feature data match normal eye feature data, normal mouth feature data and normal eyebrow feature data in normal expression database respectively. If any of the eye feature data, the mouth feature data and the eyebrow feature data does not match, an alarm is sent out through the student terminal to prompt the student to improve the learning concentration. The invention can a |
Author | XIAO MING HUANG GUANMING WU QI WANG LIZHOU |
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DocumentTitleAlternate | 种基于视距算法的学生监控方法 |
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Snippet | The invention discloses a student monitoring method based on a visual distance algorithm, which comprises the following steps: a student terminal captures a... |
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Title | A student monitoring method based on sight distance algorithm |
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