Research and Implementation of Video-Based Intelligent Analysis System for Children’s Behavior
- 10.2991/978-94-6463-012-1_40How to use a DOI?
- Convolutional Neural Network Technology; Key Frame Selection; Human Behavior Recognition; Children Behavior
Based on convolutional neural network technology and video key frame selection technology, we can complete the construction of human skeleton behavior recognition network of video sequence, and use Kivy framework to realize the intelligent analysis system of children’s behavior in Python development environment. Under the online system, children’s behaviors in local environment can be identified and analyzed from four functions: video decoding, behavior identification, analysis display and danger warning, which can help preschool teachers and parents to improve their ability to observe and understand children’s behaviors, so as to carry out correct words and deeds education and make behavior corrections, avoid the occurrence of dangerous situations, and provide important basis for the educational strategies of children, teachers, educational environment and other aspects for subsequent development. Furthermore, it can further strengthen the communication between parents and teachers of young children, and it is practical and convenient for teachers to fully grasp the individual differences in children’s development level, ability, experience, learning style and so on, so as to truly realize teaching students in accordance with their aptitude.
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Cite this article
TY - CONF AU - Yuli Min AU - Qingling Meng AU - Hao Zhang PY - 2022 DA - 2022/12/09 TI - Research and Implementation of Video-Based Intelligent Analysis System for Children’s Behavior BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 354 EP - 363 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_40 DO - 10.2991/978-94-6463-012-1_40 ID - Min2022 ER -