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 GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force Description An account of the resource Walking (gait) irregularities and abnormalities are predictors and symptoms of disorder and disability. In the past, elaborate video (camera-based) systems, pressure mats, or a mix of the two has been used in clinical settings to monitor and evaluate gait. This article presents an artificial intelligence-based comprehensive investigation of ground reaction force (GRF) pattern to classify the healthy control and gait disorders using the large-scale ground reaction force. The used dataset comprised GRF measurements from different patients. The article includes machine learning- and deep learning-based models to classify healthy and gait disorder patients using ground reaction force. A deep learning-based architecture GaitRec-Net is proposed for this classification. The classification results were evaluated using various metrics, and each experiment was analysed using a fivefold cross-validation approach. Compared to machine learning classifiers, the proposed deep learning model is found better for feature extraction resulting in high accuracy of classification. As a result, the proposed framework presents a promising step in the direction of automatic categorization of abnormal gait pattern. 2022 Chandrasen Pandey et al. Creator An entity primarily responsible for making the resource Pandey C.; Roy D.S.; Poonia R.C.; Altameem A.; Nayak S.R.; Verma A.; Saudagar A.K.J. Source A related resource from which the described resource is derived PPAR Research, Vol-2022 Publisher An entity responsible for making the resource available Hindawi Limited 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/10.1155/2022/9355015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/9355015</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138024638&amp;doi=10.1155%2F2022%2F9355015&amp;partnerID=40&amp;md5=5976153d18699af40373ab262d7d7e9c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138024638&amp;doi=10.1155%2f2022%2f9355015&amp;partnerID=40&amp;md5=5976153d18699af40373ab262d7d7e9c</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 16874757 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 Pandey C., National Institute of Technology, Meghalaya, India; Roy D.S., National Institute of Technology, Meghalaya, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Hosur Road, Karnataka, Bangalore, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India; Verma A., Department of Computer Science &amp; Engineering, University Centre for Research &amp; Development, Chandigarh University, Punjab, Mohali, 140413, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia