Real-Time People Counting Using IR-UWB Radar

Hasan, Kareeb; Ebrahim, Malikeh Pour; Yuce, Mehmet Rasit

doi:10.1007/978-3-030-95593-9_6

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…UWB radar is an advanced sensing technology that utilizes short-duration electromagnetic pulses to detect and measure objects within its range [ 23 ]. When applied to occupancy prediction, UWB radar becomes a valuable tool for estimating and detecting the presence and movement of occupants in buildings.…”

Section: Data Collection Methodsmentioning

confidence: 99%

“…This technique can count up to four individuals walking through the door simultaneously, even in densely populated environments. Similarly, in another study [ 23 ], the authors presented a technique for counting individuals who pass through a doorway, which involves utilizing impulse radio ultra-wide band (IR-UWB) radars. The proposed system consists of two IR-UWB radars positioned horizontally apart to create a delay effect when an individual walks by.…”

Section: Data Collection Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions

Khan,

Zedadra,

Guerrieri

et al. 2024

Sensors

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In today’s world, a significant amount of global energy is used in buildings. Unfortunately, a lot of this energy is wasted, because electrical appliances are not used properly or efficiently. One way to reduce this waste is by detecting, learning, and predicting when people are present in buildings. To do this, buildings need to become “smart” and “cognitive” and use modern technologies to sense when and how people are occupying the buildings. By leveraging this information, buildings can make smart decisions based on recently developed methods. In this paper, we provide a comprehensive overview of recent advancements in Internet of Things (IoT) technologies that have been designed and used for the monitoring of indoor environmental conditions within buildings. Using these technologies is crucial to gathering data about the indoor environment and determining the number and presence of occupants. Furthermore, this paper critically examines both the strengths and limitations of each technology in predicting occupant behavior. In addition, it explores different methods for processing these data and making future occupancy predictions. Moreover, we highlight some challenges, such as determining the optimal number and location of sensors and radars, and provide a detailed explanation and insights into these challenges. Furthermore, the paper explores possible future directions, including the security of occupants’ data and the promotion of energy-efficient practices such as localizing occupants and monitoring their activities within a building. With respect to other survey works on similar topics, our work aims to both cover recent sensory approaches and review methods used in the literature for estimating occupancy.

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Section: Data Collection Methodsmentioning

confidence: 99%

Section: Data Collection Methodsmentioning

confidence: 99%

Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions

Khan,

Zedadra,

Guerrieri

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…In another application, there are few studies that try to use HOD for Covid-19 related regulations as presented in [68]- [70]. The rest of the covered studies are presented for general applications focusing on technical methods.…”

Section: A Application-based Categorizationmentioning

confidence: 99%

“…The proposed method is flexible for realworld applications because it may be used for both real-time population counts and saved data. The system has been tested by the authors' testing, which shows that the method [68] has a 90% accuracy rate.…”

Section: ) Radar Basedmentioning

confidence: 99%

Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection

Shahbazian

Trubitsyna

2023

IEEE Access

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Applications for human sensing, also known as (human) occupancy detection, include energy management systems for intelligent buildings, intruder detection, e-health systems, the identification of everyday activity, and the monitoring of vital signs. These applications require intelligent decisionmaking that relies on human sensing. Multiple technologies based on vision, sensors, or radio signals can be used to detect occupancy. Vision-based systems use a multitude of cameras to recognize the human presence, but they are restricted by light availability, line-of-sight coverage, expensive equipment, and privacy concerns. Sensor-based techniques refer to a prospective method that employs various combinations of sensors. These solutions are static and necessitate costly equipment installation and maintenance. Due to technical advancements, radio-based signals, such as WiFi, have been integrated into various forms of infrastructure, including homes, offices, and constructions. Due to how human body movements affect wireless signal propagation, it is possible to detect human motions by analyzing the received wireless signals (such as reflection, diffraction, and scattering). Due to its low cost and non-intrusive nature, wirelessbased human activity detection has received substantial attention and become a key topic of study. This article reviews the underlying principles, methodologies, and system architectures of radio-frequency-based occupancy detection systems. We classify the reviewed research studies based on the technical measures and applications they employ. In addition to focusing on the security aspects of occupancy detection and discussing future trends and difficulties, we also discuss practical considerations.

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“…In recent years, the concept of smart cities has gained significant traction owing to the advent of Internet of Things (IoT) solutions that aim to enhance the urban living experience and operational efficiency. IoT has enabled the development of various applications that can address urban challenges, such as real-time people counting and traffic monitoring systems to mitigate congestion and improve road safety [23]. Smart waste management systems can ensure timely trash collection and recycling, while IoT-enabled energy grids can optimize energy distribution and reduce wastage.…”

Section: Smart Citiesmentioning

confidence: 99%

Navigating Battery Choices in IoT: An Extensive Survey of Technologies and Their Applications

Hasan,

Tom,

Yuce

2023

Batteries

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In recent years, there has been significant progress in IoT solutions for a variety of fields. The real-time functionality and remote deployment of IoT solutions are two crucial aspects that are necessary for their successful implementation. To achieve this, external batteries play a major role. While lithium–ion batteries are often the go-to choice for IoT devices, it is essential to recognise that different IoT applications have unique needs. Therefore, it is important to conduct a thorough examination of existing battery solutions and their suitability for various IoT applications. This paper presents an extensive survey of different battery technologies, accompanied by an assessment of their applicability in different IoT applications. The aim is to offer a clear and practical guide for researchers and professionals seeking the best battery solutions for their IoT applications.

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Real-Time People Counting Using IR-UWB Radar

Cited by 5 publications

References 11 publications

Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions

Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions

Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection

Navigating Battery Choices in IoT: An Extensive Survey of Technologies and Their Applications

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