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 Machine Learning's Transformative Role in Human Activity Recognition Analysis Subject The topic of the resource Activity Recognition; Artificial In telligence (AI); Computer Vision; Deep Learning; Human-Computer Interaction (HCI); Machine Learning; Motion Analysis; Pattern Recognition; Video Surveillance Description An account of the resource Human action recognition (HAR) is a burgeoning field of computer vision that seeks to automatically understand and classify the intricate movements performed by humans. From the graceful leaps of a ballerina to the decisive strides of a surgeon, HAR aims to decipher the language of motion, unlocking a plethora of potential applications. This abstract delves into the core of HAR, highlighting its key challenges and promising avenues for advancement. We begin by outlining the various modalities used for action recognition, such as RGB videos, depth sensors, and skeletal data, each offering unique perspectives on the human form. Next, we delve into the diverse set of algorithms employed for HAR, ranging from traditional machine learning techniques to the burgeoning realm of deep learning. We explore the strengths and limitations of each approach, emphasizing the crucial role of feature extraction and model selection in achieving accurate recognition. Challenges in Human Action Recognition (HAR), such as intra-class variations, inter-class similarities, and environmental factors. Ongoing efforts include robust feature development and contextual integration. The paper envisions HAR's future impact on healthcare, robotics, video surveillance, and augmented reality, presenting an invitation to explore the transformative world of human action recognition and its potential to enhance our interaction with technology. 2024 IEEE. Creator An entity primarily responsible for making the resource Darshan R.; Janmitha S.N.; Deekshith S.; Kulkarni P.; Rajesh T.M.; Gurudas V.R. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649391" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649391</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203794903&amp;doi=10.1109%2FInC460750.2024.10649391&amp;partnerID=40&amp;md5=5a973d0f2f68afdaad0624c3e9b80880" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203794903&amp;doi=10.1109%2fInC460750.2024.10649391&amp;partnerID=40&amp;md5=5a973d0f2f68afdaad0624c3e9b80880</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Darshan R., Dayananda Sagar university, Department of CSE, Bengaluru, India; Janmitha S.N., Dayananda Sagar university, Department of CSE, Bengaluru, India; Deekshith S., Dayananda Sagar university, Department of CSE, Bengaluru, India; Kulkarni P., Dayananda Sagar university, Department of CSE, Bengaluru, India; Rajesh T.M., Dayananda Sagar university, Department of CSE, Bengaluru, India; Gurudas V.R., CHRIST University, Department of CSE, Bangalore, India