Research on the Application of Multimodal Biometric Recognition Technology in Educational Scenarios: Insights from Educational Equity and Digital Literacy Based on Smart Bus Projects

Authors

  • Xue Junping Jilin University of Engineering and Technology Author
  • Wang Yuanzheng Jilin University of Engineering and Technology Author
  • Zhou Yujie Jilin University of Engineering and Technology Author
  • Lin Deguang Jilin University of Engineering and Technology Author

DOI:

https://doi.org/10.63944/eph/NHE1

Keywords:

Multimodal biometric recognition; Educational equity; Digital literacy; Technical ethics; New infrastructure for education

Abstract

This study is based on the smart public transportation project, which means that the current payment methods for public transportation in China have transitioned from cash and physical cards to QR code scanning. However, there are still significant pain points, and the elderly population is not proficient in operating smartphones, resulting in insufficient digital service coverage. The mature application of multimodal biometric technology in the fields of finance and security provides the possibility of technology transfer for public transportation scenarios. Through systematic technology transfer and educational scenario reconstruction, this study explores its practical value in bridging the digital divide in education, optimizing resource allocation, and building technological ethical boundaries. Empirical research has shown that the dynamic liveness detection and voiceprint fusion verification mechanism reduces the operating time of digital tools for elderly teachers by 82.3%, and dialect adaptation technology significantly improves the digital literacy of students in remote areas;The lightweight model driven by edge computing achieves millisecond response of educational resources in a low bandwidth environment. The research proposes a theoretical framework of "Educational Aging Assessment Standards" and "Dual track Technology Ethics System" to provide innovative paths for the digital transformation of education.

References

[1] 姜光铭, 张继河. 技术·教育·产业三维协同驱动: 欧盟职业教育数字化转型的生态化路径探析与启示[J]. 中国职业技术教育, 2025, (15): 71-81.

[2] 张莉, 赵江招, 李靖, 等. 数字化转型视域下高职教师数字素养的提升路径[J]. 模具制造, 2025, 25(08): 29-31+34.

[3] 杨洋,刘志坚. 多学科交叉融合视域下高校数字经济创新人才培养模式探索[J]. 西部素质教育, 2025, 11(15): 22-25.

[4] 何奕宏, 武小鹏. 数智时代数字素养的认知诊断: 工具开发与评估应用[J/OL]. 教育测量与评价, 1-14[2025-08-15].

[5] 宋子婷. 扩充优质教育资源力促教育公平公正[N]. 石家庄日报, 2025-07-24(001). [6] Meral B H, Aliyeva T, Toplutaş E. Evaluating the Educational Value and Content Quality of YouTube Videos on Myasthenia Gravis. [J]. Muscle & nerve, 2025.

[7] 程萍. 新质生产力背景下职业教育“五金”新基建: 价值意蕴、现实困境与优化路径[J]. 当代职业教育, 2025, (04): 57-66.

[8] 黄圣. 教育技术创新对教育公平的促进作用研究[N]. 企业家日报, 2025-06-23(006).

[9] 冯文娟. 教育新基建赋能中国式职业教育现代化的动力、困境与路径[J]. 苏州市职业大学学报, 2025, 36(02): 13-18.

[10] 郭斯檀, 张侃, 王梦成等. 基于多模态生物识别的在线学习行为精确控制系统[J]. 计算机时代, 2025, (06): 56-62.

[11] 杨雅莉, 黎英, 章育涛等. 面向人脸识别的多模态研究方法综述[J]. 计算机应用, 2025, 45(05):1645-1657.

[12] 林乐羽. 面向隐私保护的生物特征识别技术研究[D]. 中国电子科技集团公司电子科学研究院, 2024.

Downloads

Published

15-09-2025

Issue

Section

Article