RaspiMonitor: a Raspberry Pi based smart home monitoring system
Sharma, Mrinal, Assotally, Ameerah and Bekaroo, Girish 
ORCID: https://orcid.org/0000-0003-1753-4300
(2022)
RaspiMonitor: a Raspberry Pi based smart home monitoring system.
2022 3rd International Conference on Next Generation Computing Applications (NextComp).
In: IEEE Nextcomp 2022, 06-07 Oct 2022, Flic-en-Flac, Mauritius.
e-ISBN 9781665469548, e-ISBN 9781665469531, pbk-ISBN 9781665469555.
[Conference or Workshop Item]
(doi:10.1109/nextcomp55567.2022.9932198)
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Abstract
Novel technological infrastructure such as smart homes have undergone major developments during recent years. Owing to the numerous benefits brought about by smart homes, research on the topic has been increasing at an exponential rate, bringing quality properties such as security, usability, reliability, and others. Despite their various advantages, smart homes have not been in a positive spotlight regarding security and reliability. The main reason that people are hesitant towards adopting an implemented intelligent system at their domicile is due to the lack of trust they allocate to the electronics. As such, this paper provides insights on an innovative and low-cost smart home monitoring system named RaspiMonitor. While the central aim of the system is to offer a robust smart home architecture which discreetly caters for the safety and security of its environment, it also helps in reducing energy wastage. The RaspiMonitor was carefully designed using dynamic web-based services in addition to an evaluation which quantified its usability and acceptance through the Technology Acceptance Model (TAM) with 6 constructs. Results in principle portray acceptance of the system with a mean score of 4.47. This indicates that a robust hardware and software architecture such as the RaspiMonitor is useful, convenient, and easy to use.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Sustainable Development Goals: | |
| Theme: | |
| Keywords (uncontrolled): | RaspiMonitor, Smart Home, Internet-of-Things, Intelligent Environments, Raspberry Pi, Technology Acceptance |
| Research Areas: | A. > School of Science and Technology |
| Item ID: | 36782 |
| Notes on copyright: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Useful Links: | |
| Depositing User: | Jisc Publications Router |
| Date Deposited: | 21 Nov 2022 12:50 |
| Last Modified: | 22 Nov 2022 12:18 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/36782 |
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