A Smart Campus System based on Intention Recognition and Internet of Things

Abstract

Improving the efficiency and experience of information query and teaching management through Natural Language Processing (NLP) is a rising trend of the next-generation Smart Campus. To support campus information interaction and classroom management, the author developed The Campus Information Interaction and Classroom Teaching Support System based on NLP, Face Recognition, and Internet of Things (IoT). The author also innovatively developed the "Intention Recognition Algorithm Based on Sentence Structure and Text Similarity", which realized accurate identification of user’s intention in campus scenarios. In this system, NLP is combined with the campus-specific application situations. Only one voice or text command can make the required information automatically and quickly pushed to the user's eyes. Moreover, only one voice or text command is needed to enable the system to quickly and automatically complete the equipment management task and realize "what you say is what you get". By improving the efficiency and experience of information query and teaching management in the campus scenarios, this system is a beneficial exploration on the development direction of the next generation Smart Campus.