IoT Based Smart Inhaler For Context-Aware Service Provisioning
Abstract
The overall goal of the research work is to localize user needs and discover ways to implement electronics into the inhaler in order to solve the needs and improve the user experience and service provisioning. Planning a context-aware middleware may be a challenging issue because of particular characteristics of settings and gadgets such as the energetic nature of setting and asset confinement of gadgets. Moreover, the middleware ought to give an agreeable framework in which application designers seem effortlessly trade determining relevant data. To address these issues, a structural plan of a smart-inhaler for context-aware middleware is proposed in this paper that bolsters participation among application engineers. Our whole system is IoT based and our output will give an efficient system for the patients of Asthma. In this work, different types of sensors and the connections between the sensors and server are the main base of the system. Different types of sensors have been used for the working process and for the base system SOC (system on chip). Most importantly, this system should provide a good connection with the smartphone. As asthma patients consider inhaler to be their lifesaver, it needs to be efficient and user friendly. Considering all the possible options we have tried to deliver a smart product to those asthma patients.
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Smart inhalers are equipped with sensors and connectivity to track medication use and provide feedback, and edge computing enhances their functionality by enabling real-time data processing and personalized patient insights.
“They are equipped with sensors and connectivity features that allow them to track medication use and provide feedback to patients [38,39].The use of edge computing in smart inhalers has further enhanced their functionality by enabling real-time data processing and personalized patient insights.”
From Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions (2023) · cites this paper as [39]
Cites
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British Guideline on the Management of Asthma
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Uncontrolled asthma: A review of the prevalence, disease burden and options for treatment
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A service-oriented middleware for context-aware applications
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Badidi, E. (2023) · Future Internet · doi:10.3390/fi15110370 · Cited by 113 · see citing works
- Authors
- Dey, A., Haque, K. A., Nayan, A.-A., & Kibria, M. G.
- Affiliations
- University of Liberal Arts Bangladesh (BD)
- European University of Bangladesh (BD)
- Venue
- 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT)
- Publisher
- IEEE
- Published
- 2020-11-28
- Pages
- 410-415
- OpenAlex
- W3127403698
- Cited by
- 11
- References
- 8
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 6 · 2022: 2 · 2021: 1
- FWCI
- 3.16
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Advanced Information and Communication Technology (ICAICT) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Arduino and IoT Applications
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- smart inhalers, Internet of Things, context-aware middleware, asthma, inhaler adherence, sensor-based monitoring, smartphone integration, system-on-chip, user experience, service delivery
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