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They also play a critical role in human\u2013computer interaction (HCI). Comprehending hand gestures is crucial to ensuring that listeners grasp the message speakers are trying to convey. Despite the extensive application of convolutional neural network (CNN) methods in hand gesture recognition, optimizing hyperparameters remains a significant challenge. Traditional approaches for setting CNN parameters often rely on trial\u2010and\u2010error adjustments, which are inefficient and time\u2010consuming. This paper proposed a hybrid algorithm by combining the Improved Rat Swarm Optimizer (IRSO) algorithm with CNN to optimize the hyperparameter configuration of a predetermined CNN. A novel custom\u2010digit dataset was collected to recognize 280 dynamic gestures representing Malaysian Sign Language signs. The results demonstrate that the IRSO\u2013CNN method provided superior performance compared to other alternative methods. Specifically, IRSO\u2013CNN achieved an accuracy of 0.98% with a loss rate of 0.04, surpassing standard RSO\u2013CNN with an accuracy of 0.97% and a loss rate of 0.06, PSO\u2013CNN with an accuracy of 0.96% and a loss rate of 0.09, and ABC\u2013CNN with an accuracy of 0.94% and a loss rate of 0.18. Future work involves expanding hyperparameter optimization and implementing IRSO for real\u2010time sign recognition in assistive communication tools.<\/jats:p>","DOI":"10.1155\/jece\/6430675","type":"journal-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T04:18:46Z","timestamp":1757477926000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Improved IRSO\u2013CNN Algorithm for Accurate Recognition of Dynamic Gestures in Malaysian Sign Language"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3703-5285","authenticated-orcid":false,"given":"Zinah Raad","family":"Saeed","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6319-5162","authenticated-orcid":false,"given":"Noor Farizah","family":"Ibrahim","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8908-5263","authenticated-orcid":false,"given":"Zurinahni Binti","family":"Zainol","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8405-0336","authenticated-orcid":false,"given":"Karam Khairullah","family":"Mohammed","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2025,9,9]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.18280\/ts.390307"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3468470"},{"key":"e_1_2_11_3_2","doi-asserted-by":"crossref","unstructured":"ReddyD. 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