Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Srinivasan, R.; Vimala Devi, K.; Praveenraj, David Winster; Venkatasuvrananian, S.; Subramani, K.; Prasanth, V.S.; Gaddala, Babu Rao Title A name given to the resource IoT-Driven Dynamic Behavior Intervention Model for Sustainable Hygiene Practices: Insights from Household Water Consumption Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Communications in Computer and Information Science;Volume;2308 CCIS;pp.136-154 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-84394-5_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-84394-5_11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001272363?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001272363?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Srinivasan R., Department of Mechanical Engineering, Sri Krishna College of Technology, Kovaipudur, Coimbatore, 641042, India; Vimala Devi K., School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 631014, India; Praveenraj D.W., CHRIST (Deemed to be) University, Bangalore, India; Venkatasuvrananian S., CSBS, Saranathan College of Engineering, Trichy, India; Subramani K., School of Business and Management, CHRIST (Deemed to be University), Bangalore Yeshwanthpur Campus, Bangalore, 560 073, India; Prasanth V.S., Department of Electronics and Communication Engineering, Madanapalle Institute of Technology and Science, Andhra Pradesh, Madanapalle, 517 325, India; Gaddala B.R., Department of Chemical Engineering, University of Technology and Applied Sciences (Higher College of Technology Muscat), Muscat, Oman Description An account of the resource IoT-enabled technologies have advanced so that smart sensor systems can observe and recognize human behavior in various contexts, including energy consumption and healthcare, with remarkable efficiency and effectiveness. One example is using the Internet of Things (IoT) technology to better comprehend human water consumption behavior and establish and maintain clean environments. Static models have typically been used to model the behavior intervention process throughout time. While these static approaches perform adequately when predicting general human behavior, they fall short when tracking and reacting to shifts in behavior in IoT settings. The authors of this study proposed a dynamic behavior intervention model to forecast the hygiene-related water-use habits of individual households. This model takes its cues from the structure equation model method and the notion of control engineering, which originated in the expanded theory of planned behavior (ETPB). The current ETPB dynamic behavior model with system parameter estimation using an artificial neural network (ANN)is assessed for its intervention trend using a residential water use case study. It has been shown that the ETPB dynamic model helps the process of intervening in peoples behavior. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource artificial neural network (ANN); dynamic behavior; ETPB; Internet of Things (IoT) Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18650929; ISBN: 978-303184393-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online