Development of a Multisensor Embedded Intelligent Home Environment Monitoring System Based on Digital Signal Processor and Wi-Fi

Chen, Shang-Liang; Chang, Shu-Kai; Chen, Yun-Yao

doi:10.1155/2015/171365

Cited by 6 publications

(6 citation statements)

References 31 publications

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“…The enabling technology, named Atlas, is a platform allowing developers to design and implement the “smartness” of a house without the need for input from engineers or system integrators (Helal and Chen, 2009). Other projects have also be carried out related to home automation, home monitoring and smart homes, including the Adaptive House by the University of Colorado, Carnegie Mellon’s Intelligent Workspace and the Georgia Tech Aware Home (Chen et al , 2015).…”

Section: Background and Related Workmentioning

confidence: 99%

Prototyping an IoT-based system for monitoring building indoor environment

Zhou

Chang‐Richards

Wang

et al. 2022

JEDT

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Purpose This study aims to develop an architectural prototype of a Cyber-Physical System (CPS), as well as lay a technological foundation for future smart housing with improved health and well-being outcomes for its occupants. Design/methodology/approach This study deploys smart sensors to monitor the key environmental parameters of a house. Using Internet of Things technology, a prototype of a CBS has been developed for capturing the environmental conditions over time. A case study involving a property in New Zealand was undertaken to validate the prototype. Findings The study proposes a monitoring platform, enabled by the CPS and smart sensing devices, that collects, shares, stores, analyses and visualises indoor environment data. The reliability and accuracy of the monitoring system were enhanced by comparing the activity of house occupants with sensor data. Research limitations/implications Due to limited time, the prototype was tested in one house for a period of one month. Air quality was not considered in this study. However, the work suggests that such an approach provides an effective solution for government organisations and housing agencies to collect information for the purpose of assessing building thermal performance. Originality/value This research proposes a new lens consisting of a home environment monitoring application with health and well-being implications. It could also be used to inform the future design of healthy homes and buildings, both in New Zealand and internationally.

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Section: Background and Related Workmentioning

confidence: 99%

Prototyping an IoT-based system for monitoring building indoor environment

Zhou

Chang‐Richards

Wang

et al. 2022

JEDT

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“…Other smart home approaches, such as the work of Chen et al . (2015), are favoring Wi-fi wireless technology for data transmission in comparison to the ZigBee standard due to its reliability and its popularity. This paper introduces a multi-sensor embedded home monitoring framework, including humidity, gas, smoke, and temperature sensors.…”

Section: Application Areasmentioning

confidence: 99%

A survey and taxonomy on intelligent surveillance from a system perspective

Mihailescu

Davidsson

Eklund

et al. 2018

The Knowledge Engineering Review

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Recent proliferation of surveillance systems is mostly attributed to advances in both image-processing techniques and hardware enhancement of smart cameras, as well as the ubiquity of sensor-driven architectures. Owing to these capabilities, new aspects are coming to the forefront. This paper addresses the current state-of-the-art and provides researchers with an overview of existing surveillance solutions, analyzing their properties as a system and drawing attention to relevant challenges when developing, deploying and managing them. Also, some of the more prominent application domains are highlighted here. In an effort to understand the development of the advanced solutions, based on their most distinctive characteristics, we propose a taxonomy for surveillance systems to help classify them and reveal gaps in existing research. We conclude by identifying promising future research lines.

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“…Several research projects have proposed a home energy management system (HEMS) [ 27 ], or cost-effective ecosystem to reduce power consumption [ 28 ], and improve the demand response system to accommodate user preference changes and satisfaction. Chen [ 29 ] proposed a remarkable Digital Signal Processor and Wi-Fi framework to monitor environment information to refer to, without human behavior detection. In China, taking the average economic level and the amount of population into account, there are 0.2 billion people over 60 this year with a gene coefficient of 4.7.…”

Section: Related Workmentioning

confidence: 99%

Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks

Fan

Huang

et al. 2015

Sensors

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The aging population has inspired the marketing of advanced real time devices for home health care, more and more wearable devices and mobile applications, which have emerged in this field. However, to properly collect behavior information, accurately recognize human activities, and deploy the whole system in a real living environment is a challenging task. In this paper, we propose a feasible wireless-based solution to deploy a data collection scheme, activity recognition model, feedback control and mobile integration via heterogeneous networks. We compared and found a suitable algorithm that can be run on cost-efficient embedded devices. Specifically, we use the Super Set Transformation method to map the raw data into a sparse binary matrix. Furthermore, designed front-end devices of low power consumption gather the living data of the habitant via ZigBee to reduce the burden of wiring work. Finally, we evaluated our approach and show it can achieve a theoretical time-slice accuracy of 98%. The mapping solution we propose is compatible with more wearable devices and mobile apps.

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Development of a Multisensor Embedded Intelligent Home Environment Monitoring System Based on Digital Signal Processor and Wi-Fi

Cited by 6 publications

References 31 publications

Prototyping an IoT-based system for monitoring building indoor environment

Prototyping an IoT-based system for monitoring building indoor environment

A survey and taxonomy on intelligent surveillance from a system perspective

Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks

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