Near Real-time Occupancy Detection for Smart Building Emergency Management: A Prototype

Khoche, Sarthak; Gvk, Sasirekha; Bapat, Jyotsna; Das, Debabrata

doi:10.1109/ises50453.2020.00035

Cited by 3 publications

(2 citation statements)

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“…Research on occupancy detection has gained much attention in recent years, which can be attributed to its varied applications in smart homes, smart buildings, smart cities etc. Several techniques of occupancy detection have been deployed in ranging environments like for instance, in Demand Control Ventilation of HVAC systems [4], for emergency and crisis management by first responders [5], to ensure reliable healthcare and safety of aging population [6] etc. To understand occupancy detection, one must first understand all the abstract levels that are present in an occupancy detection system and the information flow between them.…”

Section: Literature Survey On Related Workmentioning

confidence: 99%

“…Previous works in this domain [4,11] have extended WiFi based localization algorithms to smart home environments specifically for monitoring HVAC systems. In this article, we extend the work in [5] to propose a novel Wi-Fi based occupancy detection technique that is modeled as an end-to-end system. Our proposed system is cost-effective, requires no additional sensor installation and it is proactive with low latency, which…”

Section: Literature Survey On Related Workmentioning

confidence: 99%

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Occupancy Detection for Emergency Management of Smart Building Based on Indoor Localization

et al. 2021

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Occupancy detection is essential in smart buildings from energy management and comfort management perspectives. Information on the occupancy also plays an important role in the successful execution of the rescue plan by the first responders in emergency situations. Emergency situations demand proactive, real-time, low latency, and accurate occupancy detection mechanisms. Several occupancy detection mechanisms based on the CO 2 levels, camera images, RF signals, etc. are discussed in the literature. However, practical realization and deployment of these mechanisms, specifically concerning emergency scenarios, needs exploration. In this paper, a proactive open-source client-server architecture of a Wi-Fi localization-based occupancy detection system is presented. This system can be deployed in smart buildings for emergency management. The architectural overview, design details, implementation, and testing procedures for this system are discussed in detail. The details of a simulator used for testing, based on random walk mathematical model are also presented. The results proving the functionality and performance of the system are shown in detail.

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Section: Literature Survey On Related Workmentioning

confidence: 99%