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Towards Reliable and Accessible Sensing with Internet of Things Sensors

  • Yuxuan ZHOU

Student thesis: Doctoral thesis

Abstract

The Intelligence of Things (IoT) is becoming increasingly important in daily life, enabling applications from smart homes to healthcare monitoring through new sensing technologies. Despite remarkable capabilities and promising prospects, three significant challenges hinder broader implementation: (i) the open nature of some sensing modalities raises security concerns; (ii) performance degradation due to domain shifting limits systems’ effectiveness across varying environments; and (iii) a lack of inclusive systems restricts accessibility for diverse user groups. This proposal addresses these challenges through five innovative research initiatives. The first and second attempts enhance security protocols for IoT sensing systems to mitigate vulnerabilities. The third and fourth explore improve the robustness of IoT systems by handling performance degradation due to domain shifting. Finally, the fifth introduces a cognitive assessment system using engaging video stimuli and easy-to-wear devices, making evaluations effortless and cost-effective. Collectively, these efforts aim to advance the practicality and impact of IoT sensing systems in society.

Date of Award2025
Original languageEnglish
Awarding Institution
  • The Hong Kong University of Science and Technology
SupervisorQian ZHANG (Supervisor)

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