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This paper introduces a unique hybrid deep learning architecture for efficient human activity identification that combines multi-layer perceptrons (MLPs) with convolutional neural networks (CNNs). The suggested CNN\u2013MLP model provides a robust solution for HAR problems by leveraging the feature extraction capabilities of CNNs and the classification prowess of MLPs. Four different datasets were employed to comprehensively assess the model\u2019s performance: WISDM, PAMAP2, and UCI HAR datasets for smartphone-based HAR, and the CASAS Aruba dataset that provided a novel perspective on activity detection in a home context, based on smart homes, while the smartphone-based UCI HAR, WISDM, and PAMAP2 datasets offered a variety of activity data. Across all datasets, our hybrid design outperformed all previous benchmarks, achieving high accuracy rates. These results underscore the model\u2019s adaptability and efficiency in handling diverse sensor data types and activity scenarios. Furthermore, the model\u2019s robustness and generalizability, demonstrated by its consistent performance across multiple datasets, establish it as a significant contribution to the field of HAR.<\/jats:p>","DOI":"10.1177\/18761364251339587","type":"journal-article","created":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T01:18:52Z","timestamp":1748222332000},"page":"349-375","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid deep learning model for human activity recognition using smartphone and smart home data"],"prefix":"10.1177","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4167-711X","authenticated-orcid":false,"given":"Nadia","family":"Agti","sequence":"first","affiliation":[{"name":"Faculty of Mathematics and Information Technology, University of Mohamed El Bachir El Ibrahimi, Algeria"},{"name":"LMSE, The Laboratory of Materials and Electronic Systems, Mohamed El Bachir El Ibrahimi University, Bordj Bou Arreridj, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9266-567X","authenticated-orcid":false,"given":"Lyazid","family":"Sabri","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Information Technology, University of Mohamed El Bachir El Ibrahimi, Algeria"},{"name":"Intelligent Systems and Cognitive Computing Laboratory, University of Mohamed El Bachir El Ibrahimi, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0522-4954","authenticated-orcid":false,"given":"Okba","family":"Kazar","sequence":"additional","affiliation":[{"name":"College of Arts, Sciences &amp; Information Technology, Department of Computer Science, University of Kalba, Sharjah, UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,5,25]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21113845"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2985374"},{"key":"e_1_3_3_4_1","doi-asserted-by":"crossref","unstructured":"Boralessa K Kennedy Ihianle I Machado P et al. 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