Review of vision-based occupant information sensing systems for occupant-centric control

Vision-based (camera-based) systems, which can effectively sense occupant information, have garnered attention as a core technology in the Fourth Industrial Revolution. A detailed understanding of vision-based sensing systems is required to detect occupant information based on vision and use it for occupant-centric control. Therefore, in this study, we performed a comprehensive and structural literature review of vision-based occupant information systems. The contributions of this review can be summarized in the following six points: (1) a fivetier taxonomy of vision-based occupant information is proposed, (2) a systematic summary of vision-based occupant information is presented, (3) the quantitative and qualitative performance of sensing systems is reviewed, (4) an analysis of the applicability of deep-learning-based computer vision techniques is presented, (5) a summary of privacy-preserving techniques is included, and (6) a summary of vision-based control strategies and energy saving potential analysis is provided. The analysis in this review is an important contribution toward addressing the challenges in the field of research.

Automated summary

This study conducted a comprehensive literature review on vision-based occupant information systems, proposing a five-tier taxonomy, presenting a systematic summary, reviewing the performance of sensing systems, analyzing the applicability of deep-learning techniques, summarizing privacy-preservation techniques, and providing control strategies and energy saving potential analysis. The analysis in this review contributes significantly towards addressing challenges in the research field.