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 Seismic Activity-based Human Intrusion Detection using Deep Neural Networks Subject The topic of the resource Deep Neural Networks (DNN); Geophone; Human Intrusion Detection; Internet of Things (IoT) Description An account of the resource Human intrusion detection systems have found their applications in many sectors including the surveillance of critical infrastructures. Generally, these systems make use of cameras mounted on strategic locations for surveillance purposes. Cameras based detection systems are limited by line-of-sight, need regular maintenance and dependence of electricity for operations. These are all detrimental to the efficiency of these detection systems, especially in remote locations. To overcome these challenges, intrusion detection systems based on seismic activities have been in use. The seismic activities collected through geophones from the human footfalls can act as the input for these detection systems. This also poses a challenge as the data generated by the geophones for the seismic activities produced from footsteps are not always identical and hence not accurate. In this proposed work, a Deep Neural Network based approach has been used on the dataset collected from the geophones to effectively predict the presence of humans. The results gave a success rate with 94.86% accuracy with testing data and 92.00% accuracy with real-time data with the geophones deployed on an area covered with grass. 2022 IEEE. Creator An entity primarily responsible for making the resource Cyriac S.; Harsha B.M.; Woon Kim Y. Source A related resource from which the described resource is derived International Conference on ICT Convergence, Vol-2022-October, pp. 130-135. Publisher An entity responsible for making the resource available IEEE Computer Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTC55196.2022.9952913" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTC55196.2022.9952913</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143254929&amp;doi=10.1109%2FICTC55196.2022.9952913&amp;partnerID=40&amp;md5=4ecb6d46b38d4070a8457f8d3e0fd7ef" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143254929&amp;doi=10.1109%2fICTC55196.2022.9952913&amp;partnerID=40&amp;md5=4ecb6d46b38d4070a8457f8d3e0fd7ef</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21621233; ISBN: 978-166549939-2 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 Cyriac S., Centre for Digital Innovation, Christ (Deemed to Be University), Bengaluru, India; Harsha B.M., Centre for Digital Innovation, Christ (Deemed to Be University), Bengaluru, India; Woon Kim Y., Centre for Digital Innovation, Christ (Deemed to Be University), Bengaluru, India