{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T10:21:38Z","timestamp":1775730098489,"version":"3.50.1"},"reference-count":52,"publisher":"Tech Science Press","issue":"1","license":[{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"vor","delay-in-days":293,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.055511","type":"journal-article","created":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T11:12:27Z","timestamp":1728558747000},"page":"1729-1756","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":7,"title":["Efficient Real-Time Devices Based on Accelerometer Using Machine Learning for HAR on Low-Performance Microcontrollers"],"prefix":"10.32604","volume":"81","author":[{"given":"Manh-Tuyen","family":"Vi","sequence":"first","affiliation":[]},{"given":"Duc-Nghia","family":"Tran","sequence":"additional","affiliation":[]},{"given":"Vu Thi","family":"Thuong","sequence":"additional","affiliation":[]},{"given":"Nguyen Ngoc","family":"Linh","sequence":"additional","affiliation":[]},{"given":"Duc-Tan","family":"Tran","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.cogsys.2022.10.003","article-title":"Recent trends in human activity recognition\u2013A comparative study","volume":"77","author":"Singh","year":"2023","journal-title":"Cogn. Syst. Res."},{"key":"ref2","first-page":"3783","article-title":"Coupling analysis of multiple machine learning models for human activity recognition","volume":"79","author":"Lai","year":"2024","journal-title":"Comput. Mater. Contin."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"7899","DOI":"10.3934\/mbe.2022369","article-title":"A scoping review on monitoring mental health using smart wearable devices","volume":"19","author":"Long","year":"2022","journal-title":"Math. Biosci. Eng."},{"key":"ref4","doi-asserted-by":"crossref","first-page":"3329","DOI":"10.1007\/s13369-018-3496-4","article-title":"Development of a real-time, simple and high-accuracy fall detection system for elderly using 3-DOF accelerometers","volume":"44","author":"Pham","year":"2019","journal-title":"Arab. J. Sci. Eng."},{"key":"ref5","doi-asserted-by":"crossref","first-page":"3156","DOI":"10.1109\/JSEN.2019.2891128","article-title":"Elderly fall detection using wearable sensors: A low-cost highly accurate algorithm","volume":"19","author":"Saleh","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref6","series-title":"2015 IEEE Int. Conf. Comput. Graph., Vis. Inf. Secur. (CGVIS)","first-page":"94","article-title":"Action recognition for human-robot interaction in industrial applications","author":"Akkaladevi","year":"2015"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.patrec.2015.07.004","article-title":"Exploring orientation and accelerometer sensor data for personal authentication in smartphones using touchscreen gestures","volume":"68","author":"Jain","year":"2015","journal-title":"Pattern Recognit. Lett."},{"key":"ref8","series-title":"2023 13th Int. Conf. Comput. Knowl. Eng. (ICCKE)","first-page":"209","article-title":"A vision-based method for human activity recognition using local binary pattern","author":"Goodarzi","year":"2023"},{"key":"ref9","series-title":"2023 1st Int. Conf. Circuits, Power Intell. Syst. (CCPIS)","first-page":"1","article-title":"A novel approach for human activity recognition using vision based method","author":"Parida","year":"2023"},{"key":"ref10","first-page":"3325","article-title":"Research on human activity recognition algorithm based on LSTM-1DCNN","volume":"77","author":"Zhao","year":"2023","journal-title":"Comput. Mater. Contin."},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109363","article-title":"A survey on unsupervised learning for wearable sensor-based activity recognition","volume":"127","author":"Ige","year":"2022, Art. no. 109363","journal-title":"Appl. Soft Comput."},{"key":"ref12","doi-asserted-by":"crossref","first-page":"4566","DOI":"10.1109\/JSEN.2016.2545708","article-title":"A comparative study on human activity recognition using inertial sensors in a smartphone","volume":"16","author":"Wang","year":"2016","journal-title":"IEEE Sens. J."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1016\/j.future.2018.12.039","article-title":"Cognitive-inspired class-statistic matching with triple-constrain for camera free 3D object retrieval","volume":"94","author":"Gao","year":"2019","journal-title":"Future Gener. Comput. Syst."},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.1109\/JBHI.2014.2304357","article-title":"Depth-based human fall detection via shape features and improved extreme learning machine","volume":"18","author":"Ma","year":"2014","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref15","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/j.cviu.2013.01.013","article-title":"A survey of video datasets for human action and activity recognition","volume":"117","author":"Chaquet","year":"2013","journal-title":"Comput. Vis. Image Underst."},{"key":"ref16","series-title":"Proc. Int. Conf. Comput. Commun. Netw. (ICCCN)","first-page":"1172","article-title":"Automatic fall incident detection in compressed video for intelligent homecare","author":"Lin","year":"2007"},{"key":"ref17","series-title":"Proc. 8th ACM\/IEEE Conf. Internet Things Des. Implement.","first-page":"66","article-title":"VALERIAN: Invariant feature learning for IMU sensor-based human activity recognition in the wild","author":"Hao","year":"2023"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"227","DOI":"10.3233\/TAD-2005-17404","article-title":"Gathering the requirements for a fall monitor using drama and video with older people","volume":"17","author":"Marquis-Faulkes","year":"2005","journal-title":"Technol. Disabil."},{"key":"ref19","series-title":"Proc. Int. Conf. Embed. Softw. Syst. (ICESS)","first-page":"350","article-title":"Speedup the multi-camera video-surveillance system for elder falling detection","author":"Shieh","year":"2009"},{"key":"ref20","series-title":"2020 Int. Conf. Omni-Layer Intell. Syst. (COINS)","first-page":"1","article-title":"Human activity recognition: From sensors to applications","author":"Fereidoonian","year":"2020"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1192","DOI":"10.1109\/SURV.2012.110112.00192","article-title":"A survey on human activity recognition using wearable sensors","volume":"15","author":"Lara","year":"2013","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1109\/TSMCC.2012.2198883","article-title":"Sensor-based activity recognition","volume":"42","author":"Chen","year":"2012","journal-title":"IEEE Trans. Syst., Man, Cybern., C (Appl. Rev.)"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1109\/TKDE.2011.51","article-title":"A knowledge-driven approach to activity recognition in smart homes","volume":"24","author":"Chen","year":"2012","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-3-540-24646-6_1","article-title":"Activity recognition from user-annotated acceleration data","volume":"3001","author":"Bao","year":"2004","journal-title":"Lecture Notes in Computer Science"},{"key":"ref25","series-title":"Proc. Sens. Signals Inf. Proces. Workshop","article-title":"Real time human activity recognition using tri-axial accelerometers","author":"Krishnan","year":"2008"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1109\/JIOT.2018.2846359","article-title":"A hybrid hierarchical framework for gym physical activity recognition and measurement using wearable sensors","volume":"6","author":"Qi","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref27","series-title":"Proc. 25th IAAI","article-title":"Physical activity recognition from accelerometer data using a multi-scale ensemble method","author":"Zheng","year":"2013"},{"key":"ref28","series-title":"Proc. 11th IEEE Int. Symp. Wearable Comput.","first-page":"37","article-title":"Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor","author":"Tapia","year":"2007"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1145\/1964897.1964918","article-title":"Activity recognition using cell phone accelerometers","volume":"12","author":"Kwapisz","year":"2010","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"ref30","series-title":"Proc. ESANN","first-page":"455","article-title":"A competitive approach for human activity recognition on smartphones","author":"Reiss"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"22500","DOI":"10.3390\/s141222500","article-title":"Long-term activity recognition from wristwatch accelerometer data","volume":"14","author":"Garcia-Ceja","year":"2014","journal-title":"Sensors"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.pmcj.2016.09.009","article-title":"Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer","volume":"38","author":"Noor","year":"2017","journal-title":"Pervasive Mob. Comput."},{"key":"ref33","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1007\/978-981-13-2514-4_27","article-title":"Activity recognition from accelerometer data","volume":"43","author":"Ravi","year":"2019","journal-title":"Lect. Notes Netw. Syst."},{"key":"ref34","doi-asserted-by":"crossref","first-page":"1780","DOI":"10.1109\/TBME.2014.2307069","article-title":"Feature selection and activity recognition system using a single triaxial accelerometer","volume":"61","author":"Gupta","year":"2014","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref35","doi-asserted-by":"crossref","first-page":"1166","DOI":"10.1109\/TITB.2010.2051955","article-title":"A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer","volume":"14","author":"Khan","year":"2010","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref36","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1007\/s10462-021-09979-x","article-title":"Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor","volume":"55","author":"Semwal","year":"2022","journal-title":"Artif. Intell. Rev."},{"key":"ref37","series-title":"ICT4AWE, 2016\u20142nd Int. Conf. Inf. Commun. Technol. Ageing Well e-Health, Proc.","first-page":"143","article-title":"The MobiAct dataset: Recognition of activities of daily living using smartphones","author":"Vavoulas","year":"2016"},{"key":"ref38","first-page":"5064","article-title":"Channel-equalization-HAR: A light-weight convolutional neural network for wearable sensor based human activity recognition","volume":"22","author":"Huang","year":"2023","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3551486","article-title":"Deep ensemble learning for human activity recognition using wearable sensors via filter activation","volume":"22","author":"Huang","year":"2023","journal-title":"ACM Trans. Embed. Comput. Syst."},{"key":"ref40","first-page":"1033","article-title":"DL-HAR: Deep learning-based human activity recognition framework for edge computing","volume":"65","author":"Gumaei","year":"2020","journal-title":"Comput. Mater. Contin."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1109\/THMS.2020.2984181","article-title":"A smartphone-based adaptive recognition and real-time monitoring system for human activities","volume":"50","author":"Qi","year":"2020","journal-title":"IEEE Trans. Hum. Mach. Syst."},{"key":"ref42","series-title":"2018 Second Int. Conf. Adv. Electron., Comput. Commun. (ICAECC)","first-page":"1","article-title":"A comparative study of supervised learning techniques for human activity monitoring using smart sensors","author":"Bhattacharjee","year":"2018"},{"key":"ref43","series-title":"2020 Int. Conf. Netw. Netw. Appl. (NaNA)","first-page":"310","article-title":"Evaluation of random forest for complex human activity recognition using wearable sensors","author":"Wang","year":"2020"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"6474","DOI":"10.3390\/s140406474","article-title":"Window size impact in human activity recognition","volume":"14","author":"Banos","year":"2014","journal-title":"Sensors"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1016\/j.asoc.2015.01.025","article-title":"On the use of ensemble of classifiers for accelerometer-based activity recognition","volume":"37","author":"Catal","year":"2015","journal-title":"Appl. Soft Comput. J."},{"key":"ref46","first-page":"61","article-title":"Comparing the performance of machine learning algorithms for human activities recognition using WISDM dataset","volume":"4523","author":"Min","year":"2020","journal-title":"Int. J. Comput."},{"key":"ref47","first-page":"4061","article-title":"Multi-layered deep learning features fusion for human action recognition","volume":"69","author":"Kiran","year":"2021","journal-title":"Comput. Mater. Contin."},{"key":"ref48","series-title":"Proc. 2015 IEEE Int. Conf. Syst., Man, Cybern.","first-page":"1488","article-title":"A deep learning approach to human activity recognition based on single accelerometer","author":"Chen","year":"2015"},{"key":"ref49","series-title":"Proc. 2017 IEEE Int. Conf. Big Data Smart Comput. (BigComp)","first-page":"131","article-title":"Human activity recognition from accelerometer data using convolutional neural network","author":"Lee","year":"2017"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"133982","DOI":"10.1109\/ACCESS.2020.3010715","article-title":"Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection","volume":"8","author":"Gholamiangonabadi","year":"2020","journal-title":"IEEE Access"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3431502","article-title":"Mobile crowd-sensing applications: Data redundancies, challenges, and solutions","volume":"22","author":"Nguyen","year":"2022","journal-title":"ACM Trans. Internet Technol."},{"key":"ref52","first-page":"2217","article-title":"Real-time violent action recognition using key frames extraction and deep learning","volume":"69","author":"Ahmed","year":"2021","journal-title":"Comput. Mater. Contin."}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-81-1\/TSP_CMC_55511\/TSP_CMC_55511.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T02:40:00Z","timestamp":1741315200000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v81n1\/58341"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":52,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.055511","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-06-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-09-14","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-15","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}