Toward Smart Doors: A Position Paper
Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco, Cristani

TL;DR
This position paper discusses the development of smart doors that predict human intention by analyzing social context, aiming to improve decision-making and address ethical and legislative challenges.
Contribution
It introduces the first position paper on smart doors, emphasizing social context analysis and providing a comprehensive literature review and future outlook.
Findings
Highlights the importance of social context understanding for smart door systems
Identifies ethical and legislative issues related to smart door deployment
Proposes a novel system formulation for intention prediction in smart doors
Abstract
Conventional automatic doors cannot distinguish between people wishing to pass through the door and people passing by the door, so they often open unnecessarily. This leads to the need to adopt new systems in both commercial and non-commercial environments: smart doors. In particular, a smart door system predicts the intention of people near the door based on the social context of the surrounding environment and then makes rational decisions about whether or not to open the door. This work proposes the first position paper related to smart doors, without bells and whistles. We first point out that the problem not only concerns reliability, climate control, safety, and mode of operation. Indeed, a system to predict the intention of people near the door also involves a deeper understanding of the social context of the scene through a complex combined analysis of proxemics and scene…
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Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · IoT and Edge/Fog Computing
