Classroom student posture recognition based on an improved high-resolution network
Abstract Due to the large number of students in a typical classroom and crowded seating, most features of student posture are often obscured, making it difficult to balance the accuracy in identifying student postures with computational efficiency. To solve this issue, a novel classroom student post...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-06-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13638-021-02015-0 |