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 Articles Article Faculty Publications -Articles 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 Real-time human action prediction using pose estimation with attention-based LSTM network Subject The topic of the resource Attention mechanism; LSTM; Pose estimation; Skeleton key joints Description An account of the resource Human action prediction in a live-streaming videos is a popular task in computer vision and pattern recognition. This attempts to identify activities in an image or video performed by a human. Artificial intelligence(AI)-based technologies are now required for the security and human behaviour analysis. Intricate motion patterns are involved in these actions. For the visual representation of video frames, conventional action identification approaches mostly rely on pre-trained weights of various AI architectures. This paper proposes a deep neural network called Attention-based long short-term memory (LSTM) network for skeletal based activity prediction from a video. The proposed model has been evaluated on the BerkeleyMHAD dataset having 11 action classes. Our experimental results are compared against the performance of the LSTM and Attention-based LSTM network for 6 action classes such as Jumping, Clapping, Stand-up, Sit-down, Waving one hand (Right) and Waving two hands. Also, the proposed method has been tested in a real-time environment unaffected by the pose, camera facing, and apparel. The proposed system has attained an accuracy of 95.94% on BerkeleyMHAD dataset. Hence, the proposed method is useful in an intelligent vision computing system for automatically identifying human activity in unpremeditated behaviour. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Bharathi A.; Sanku R.; Sridevi M.; Manusubramanian S.; Chandar S.K. Source A related resource from which the described resource is derived Signal, Image and Video Processing, Vol-18, No. 4, pp. 3255-3264. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11760-023-02987-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11760-023-02987-0</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182997614&amp;doi=10.1007%2Fs11760-023-02987-0&amp;partnerID=40&amp;md5=15553d99ffc824b1ef08a4399a1de36a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182997614&amp;doi=10.1007%2fs11760-023-02987-0&amp;partnerID=40&amp;md5=15553d99ffc824b1ef08a4399a1de36a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18631703 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bharathi A., National Institute of Technology, Tiruchirappalli, India; Sanku R., National Institute of Technology, Tiruchirappalli, India; Sridevi M., National Institute of Technology, Tiruchirappalli, India; Manusubramanian S., Liquid Propulsion Systems Centre, ISRO, Thiruvananthapuram, India; Chandar S.K., Christ University, Bangalore, India