Towards the detection and classification of indoor events using a loudspeaker

Marmaroli, Patrick; Allado, Mark; Boulandet, Romain

doi:10.1016/j.apacoust.2022.109161

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…Different authors have produced impressive publications using this type of sensor. The authors in [ 71 ] examined the potential applications of a standard electrodynamics loudspeaker. These include real-time monitoring of room occupancy to detect the presence of individuals in the workplace, identification of perimeter changes (such as the opening of a door or window) to alert security of potential intruders, and tracking of thermal anomalies to signal unusual temperature variations.…”

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

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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%

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

Khan,

Zedadra,

Guerrieri

et al. 2024

Sensors

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An Alternative Approach to Determine the Dynamic Stiffness of Resilient Materials under Low Prestatic Load

Carbajo,

Poveda,

Segovia

et al. 2024

Applied Sciences

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Dynamic stiffness is a parameter of great importance for the assessment of the sound insulation properties of resilient materials commonly used under floating floors in dwellings. This work proposes a simplified approach that relies on an electro-mechanical circuit model for the determination of this parameter using a two-degree-of-freedom system of masses and springs. Unlike the method described in the standard ISO 9052-1, the proposed approach uses a single electrodynamic actuator both as an impulser and vibration sensor, thus reducing the instrumental requirements and yielding a more stable arrangement. By measuring the input electrical impedance of the mass-loaded actuator when coupled to a slab–material system it was possible to retrieve the mechanical mobility function thereof and thus obtain the dynamic stiffness of the material. Several materials were tested following the proposed approach, with results showing good agreement when compared to those obtained following the standardized procedure. In general, the preliminary research encourages the use of the proposed approach for characterization purposes.

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Towards the detection and classification of indoor events using a loudspeaker

Cited by 2 publications

References 20 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

An Alternative Approach to Determine the Dynamic Stiffness of Resilient Materials under Low Prestatic Load

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