Open Access Article

Title: Intelligent psychological support system based on multimodal data fusion: a case study of college student groups

Authors: Meishan Li

Addresses: Robotics Academy, Guangdong Polytechnic of Science and Technology, Zhuhai, 519090, China

Abstract: As college students' mental health problems get worse, figuring out how to construct a good and accurate psychological support system has become a popular topic of research. This study suggests an intelligent psychological support system (MDF-IPSS) for college student groups based on multimodal data fusion technology. The system uses a wide range of data types, including text, voice, facial expressions, and physiological signals, to create multi-dimensional models and track changes in psychological condition over time. This greatly enhances the accuracy of recognising psychological states. The results of testing on two self-made multimodal datasets reveal that the system works well and is useful in many ways. This study gives a lot of technological assistance for mental health management in universities and encourages the development and use of smart psychological support systems.

Keywords: multimodal data fusion; intelligent psychological support system; IPSS; college student mental health; deep learning.

DOI: 10.1504/IJRIS.2025.150506

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.12, pp.1 - 12

Received: 14 Jun 2025
Accepted: 25 Sep 2025
Published online: 15 Dec 2025 *

 

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