PECMS: modeling a personalized energy and comfort management system based on residents’ behavior anticipation in smart home

Raeiszadeh, Mahsa; Tahayori, Hooman; Bahadori-Jahromi, Ali

doi:10.1007/s40860-023-00206-8

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Smart homes stand as a prime example of services within human-centered intelligent environments Yao et al (2023), enabling a harmonious control of home appliances that react adaptively to human presence, movements, and routines. These environments facilitate comprehensive health and well-being management by integrating controls for sleep, diet, energy efficiency Nakamura et al (2015), thermal comfort Raeiszadeh et al (2023), and both mental and physical healthcare. They also support medication management and provide for both remote healthcare and communication capabilities.…”

Section: Other Application Scenariosmentioning

confidence: 99%

“…The concept of reliability is a key of intelligent environments, especially in systems that depend on human behavior. The precision and trustworthiness of human sensing technologies are becoming crucial in various sectors Palumbo et al (2017); Kumar et al (2019); Onesimu et al (2021); Schmidtke (2020); Raeiszadeh et al (2023); Kar et al (2023). In residential settings Patel and Shah (2020), particularly for monitoring elderly individuals living alone Palumbo et al (2017), the ability to accurately recognize activities such as falls is vital for dependable information exchange.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards Intelligent Environments: Human Sensing through Point Cloud

Yamaguchi,

Rizk,

Amano

et al. 2024

Preprint

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''Society 5.0'' seeks to enhance well-being by integrating the Internet of Things to connect people, objects, and environments, which aims to gather and utilize data from the physical world in cyberspace fostering new values and knowledge sharing. It extends the concept of Cyber-Physical Systems by focusing on human-centric sensing and AI-driven analysis to capture and understand the nuances of human behaviors and their environments. To realize the concept, intelligent environments, focusing on creating sensor-enhanced spaces capable of recognizing and interpreting human behaviors and needs, are essential. To explore how we realize the intelligent environment, this paper highlights the current technologies and applications of human sensing and tracking that enables such intelligent environments.Specifically, it introduces the development and application of LiDAR-based human sensing and tracking technologies, including the Hitonavi and Hitonavi-µ systems, designed for multi-person tracking in extensive areas and for enabling person detection and activity recognition on edge devices, respectively. Moreover, the services and applications of the introduced methodologies to smart buildings, shopping malls, and elderly care have been explained to showcase their potential to enhance safety, convenience, and understanding of human behavior within intelligent environment. Throughout this paper, we present our vision for creating a reliable intelligent environment, which is fundamentally supported by sophisticated human sensing technologies.

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Section: Other Application Scenariosmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards Intelligent Environments: Human Sensing through Point Cloud

Yamaguchi,

Rizk,

Amano

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Towards intelligent environments: human sensing through 3D point cloud

Yamaguchi,

Rizk,

Amano

et al. 2024

J Reliable Intell Environ

View full text Add to dashboard Cite

To realize the concept of “Society 5.0”, which seeks to enhance well-being by integrating the Internet of Things to connect people, objects, and environments, intelligent environments are essential. These environments focus on creating sensor-enhanced spaces capable of recognizing and interpreting human behaviors and needs. This paper explores how we achieve intelligent environment by highlighting current technologies and applications of human sensing and tracking that enables such intelligent environments. Specifically, it introduces the development and application of LiDAR-based human sensing and tracking technologies, including the Hitonavi and Hitonavi-$$\mu $$ μ systems, designed for multi-person tracking in extensive areas and for enabling person detection and activity recognition on edge devices, respectively. Moreover, the paper explains the services and applications of these methodologies to smart buildings, shopping malls, and elderly care, showcasing their potential to enhance safety, convenience, and understanding of human behavior within intelligent environments. Throughout this paper, we present our vision for creating reliable intelligent environments, which are fundamentally supported by sophisticated human sensing technologies.

show abstract

PECMS: modeling a personalized energy and comfort management system based on residents’ behavior anticipation in smart home

Cited by 2 publications

References 26 publications

Towards Intelligent Environments: Human Sensing through Point Cloud

Towards Intelligent Environments: Human Sensing through Point Cloud

Towards intelligent environments: human sensing through 3D point cloud

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