Article: Research on music interactive teaching mode based on wireless sensor network and multimodal data fusion Journal: International Journal of Arts and Technology (IJART) 2026 Vol.16 No.7 pp.4 - 29 Abstract: In response to the problems of insufficient personalised feedback and poor real-time performance in traditional music teaching, this paper proposes an interactive teaching mode based on wireless sensor networks and multimodal data fusion. By deploying multiple sensors to collect real-time data on students' performance movements, audio, and physiological states, the Gaussian Bayesian algorithm is fused and denoised before uploading to the cloud platform. Then, the weighted matrix factorisation algorithm is used to generate personalised error correction content and push it out. Experiments have shown that this mode reduces sensor data transmission by 78.8%, reduces energy consumption to 0.33J, and achieves a push hit rate of 95.2%, forming an efficient interactive loop and providing precise solutions for the digitisation of music teaching. Inderscience Publishers - linking academia, business and industry through research

Title: Research on music interactive teaching mode based on wireless sensor network and multimodal data fusion

Authors: Yao Lin

Addresses: Guizhou University of Engineering Science, Bijie City, Guizhou Province, Xueyuan Load, 551700, China

Abstract: In response to the problems of insufficient personalised feedback and poor real-time performance in traditional music teaching, this paper proposes an interactive teaching mode based on wireless sensor networks and multimodal data fusion. By deploying multiple sensors to collect real-time data on students' performance movements, audio, and physiological states, the Gaussian Bayesian algorithm is fused and denoised before uploading to the cloud platform. Then, the weighted matrix factorisation algorithm is used to generate personalised error correction content and push it out. Experiments have shown that this mode reduces sensor data transmission by 78.8%, reduces energy consumption to 0.33J, and achieves a push hit rate of 95.2%, forming an efficient interactive loop and providing precise solutions for the digitisation of music teaching.

Keywords: wireless sensor network; WSN; multimodal; data fusion; music interactive teaching; Gaussian-Bayesian; personalised push.

DOI: 10.1504/IJART.2026.154948

International Journal of Arts and Technology, 2026 Vol.16 No.7, pp.4 - 29

Received: 07 Nov 2025
Accepted: 31 Jan 2026
Published online: 20 Jul 2026 *

Title: Research on music interactive teaching mode based on wireless sensor network and multimodal data fusion

Keep up-to-date