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 Conference Papers 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/. Title A name given to the resource Human activity recognition using wearable sensors Subject The topic of the resource Activity recognition; Classification; Machine leaning; Sensors; Wearable computing Description An account of the resource The advancement of the internet coined a new era for inventions. Internet of Things (IoT) is one such example. IoT is being applied in all sectors such as healthcare, automobile, retail industry etc. Out of these, Human Activity Recognition (HAR) has taken much attention in IoT applications. The prediction of human activity efficiently adds multiple advantages in many fields. This research paper proposes a HAR system using the wearable sensor. The performance of this system is analyzed using four publicly available datasets that are collected in a real-time environment. Five machine learning algorithms namely Decision tree (DT), Random Forest (RF), Logistics Regression (LR), K-Nearest Neighbor (kNN), and Support Vector Machine (SVM) are compared in terms of recognition of human activities. Out of this SVM responded well on all four datasets with the accuracy of 77%, 99%, 98%, and 99% respectively. With the support of four datasets, the obtained results proved that the performance of the proposed method is better for human activity recognition. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Joy Rakesh Y.; Kavitha R.; Julian J. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1177, pp. 527-538. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5679-1_51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5679-1_51</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091061514&amp;doi=10.1007%2F978-981-15-5679-1_51&amp;partnerID=40&amp;md5=86b5ac4728a2787d3f83db8f32c1e6e6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091061514&amp;doi=10.1007%2f978-981-15-5679-1_51&amp;partnerID=40&amp;md5=86b5ac4728a2787d3f83db8f32c1e6e6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-981155678-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joy Rakesh Y., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Kavitha R., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Julian J., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, India