Use of Ubiquitous Computing for Assistive Surveillance on In and Out Patients with Mental Illness via RFID

Abel, Edje E. (2023) Use of Ubiquitous Computing for Assistive Surveillance on In and Out Patients with Mental Illness via RFID. In: Research and Applications Towards Mathematics and Computer Science Vol. 3. B P International, pp. 48-66. ISBN 978-81-19491-51-3

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Abstract

This chapter present the possibility of using Ubiquitous Computing aided RFID system to enhance observation treatment on patients with mental illness in mental wards. Ubiquitous computing is the method of enhancing computer use by making many computers available throughout the physical environment, but making them effectively invisible to the user. Research methodology is essentially, the procedure by which researchers go about their work of describing, explaining and predicting phenomena. In addition, it involves a sequential order of activities that must be implemented in other to resolve a problem. The five-stage Chronological Scientific Research Methodology was employed to carry out the intended research task. The difficulties and limitations of the current observation treatment methods were thoroughly explored. For example, patients with schizophrenia are more prone to leave the grounds of the mental institution and violate their right to privacy. A feasible system solution was formulated called “Real Time RFID Monitoring Middleware System” that would resolve the flaws or challenges of the existing observation treatment techniques. In order to establish the validity and dependability of the possible system solution, a comparison analysis between the proposed system and the current system was conducted. Due to the planned system's fantastic and fascinating qualities, recommendations were seen convincing mental healthcare professionals and government organisations to invest in its development.

Item Type: Book Section
Subjects: Research Scholar Guardian > Computer Science
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 20 Jan 2024 10:19
Last Modified: 20 Jan 2024 10:19
URI: http://science.sdpublishers.org/id/eprint/1552

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