A Study of English Reading Modality Recognition and Practice Based on Intelligent Sensor Networks

• Published in: Journal of sensors Vol. 2022; pp. 1 - 7
• Main Authors: Guo, Xuan, Chen, Fengping
• Format: Journal Article
• Language: English
• Published: New York Hindawi 26.08.2022; John Wiley & Sons, Inc
• Subjects: Classrooms; Communication; Core curriculum; Data collection; Data processing; Education; English language; Entrance examinations; Feedback; Foreign language learning; Higher education; Knowledge; Language; Modality (Semantic); Modules; Networks; Reading; Reading comprehension; Semantic analysis; Semantics; Sensors; Skills; Students; Teaching; Wireless communication systems
• ISSN: 1687-725X; 1687-7268; 1687-7268
• DOI: 10.1155/2022/4292186

Intelligent sensor networks are a current hot topic in the field of communication and are widely used in subject education, quality education, and home security monitoring. In today’s world of increasingly diverse services and growing information needs, wireless communication systems require more information to better understand and analyse the observed objects. In this context, this paper presents a study on the identification and practice of English reading modality based on intelligent sensor networks. The paper divides English reading modality into two parts: semantic modality and situational modality, and its system consists of three main modules: English reading article data collection, English article data semantic analysis, and English reading article situational picture feedback module. Finally, a practical study is carried out on the basis of this application, and it is concluded that the development and future prospects of this application are considerable.