Articoli di riviste sul tema "Activities of daily living recognition"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 articoli di riviste per l'attività di ricerca sul tema "Activities of daily living recognition".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi gli articoli di riviste di molte aree scientifiche e compila una bibliografia corretta.
Wu, Jiaxuan, Yunfei Feng e Peng Sun. "Sensor Fusion for Recognition of Activities of Daily Living". Sensors 18, n. 11 (19 novembre 2018): 4029. http://dx.doi.org/10.3390/s18114029.
Ihianle, Isibor Kennedy, Usman Naeem e Abdel-Rahman Tawil. "Recognition of Activities of Daily Living from Topic Model". Procedia Computer Science 98 (2016): 24–31. http://dx.doi.org/10.1016/j.procs.2016.09.007.
Chua, Sook-Ling, Lee Kien Foo e Hans W. Guesgen. "Predicting Activities of Daily Living with Spatio-Temporal Information". Future Internet 12, n. 12 (27 novembre 2020): 214. http://dx.doi.org/10.3390/fi12120214.
Ortis, Alessandro, Giovanni M. Farinella, Valeria D’Amico, Luca Addesso, Giovanni Torrisi e Sebastiano Battiato. "Organizing egocentric videos of daily living activities". Pattern Recognition 72 (dicembre 2017): 207–18. http://dx.doi.org/10.1016/j.patcog.2017.07.010.
Refonaa, J., Bandaru Suhas, B. V. S. Bhaskar, S. L. JanyShabu, S. Dhamodaran, Sardar Maran, Maria Anu e M. Lakshmi. "Fall Detection and Daily Living Activity Recognition Logic Regression". Journal of Computational and Theoretical Nanoscience 17, n. 8 (1 agosto 2020): 3520–25. http://dx.doi.org/10.1166/jctn.2020.9223.
Nguyen, Thi-Hoa-Cuc, Jean-Christophe Nebel e Francisco Florez-Revuelta. "Recognition of Activities of Daily Living with Egocentric Vision: A Review". Sensors 16, n. 1 (7 gennaio 2016): 72. http://dx.doi.org/10.3390/s16010072.
Salguero, Alberto, Macarena Espinilla, Pablo Delatorre e Javier Medina. "Using Ontologies for the Online Recognition of Activities of Daily Living". Sensors 18, n. 4 (14 aprile 2018): 1202. http://dx.doi.org/10.3390/s18041202.
Avgerinakis, Konstantinos, Alexia Briassouli e Ioannis Kompatsiaris. "Activities of daily living recognition using optimal trajectories from motion boundaries". Journal of Ambient Intelligence and Smart Environments 7, n. 6 (20 novembre 2015): 817–34. http://dx.doi.org/10.3233/ais-150347.
Cheng, Bo-Chao, Yi-An Tsai, Guo-Tan Liao e Eui-Seok Byeon. "HMM machine learning and inference for Activities of Daily Living recognition". Journal of Supercomputing 54, n. 1 (9 ottobre 2009): 29–42. http://dx.doi.org/10.1007/s11227-009-0335-0.
Al Huda, Fais, Herman Tolle e Rosa Andrie Asmara. "Realtime Online Daily Living Activity Recognition Using Head-Mounted Display". International Journal of Interactive Mobile Technologies (iJIM) 11, n. 3 (27 aprile 2017): 67. http://dx.doi.org/10.3991/ijim.v11i3.6469.
Mohamed, Samer A., e Uriel Martinez-Hernandez. "A Light-Weight Artificial Neural Network for Recognition of Activities of Daily Living". Sensors 23, n. 13 (24 giugno 2023): 5854. http://dx.doi.org/10.3390/s23135854.
Peate, Ian. "Activities of living, 4: breathing". British Journal of Healthcare Assistants 18, n. 4 (2 aprile 2024): 122–27. http://dx.doi.org/10.12968/bjha.2024.18.4.122.
Su, Muchun, Diana Wahyu Hayati, Shaowu Tseng, Jiehhaur Chen e Hsihsien Wei. "Smart Care Using a DNN-Based Approach for Activities of Daily Living (ADL) Recognition". Applied Sciences 11, n. 1 (22 dicembre 2020): 10. http://dx.doi.org/10.3390/app11010010.
Nasreen, Shamila, Muhammad Awais Azam, Usman Naeem, Mustansar Ali Ghazanfar e Asra Khalid. "Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining". Arabian Journal for Science and Engineering 41, n. 8 (18 marzo 2016): 3113–26. http://dx.doi.org/10.1007/s13369-016-2091-9.
Poularakis, Stergios, Konstantinos Avgerinakis, Alexia Briassouli e Ioannis Kompatsiaris. "Efficient motion estimation methods for fast recognition of activities of daily living". Signal Processing: Image Communication 53 (aprile 2017): 1–12. http://dx.doi.org/10.1016/j.image.2017.01.005.
Ferreira, José M., Ivan Miguel Pires, Gonçalo Marques, Nuno M. García, Eftim Zdravevski, Petre Lameski, Francisco Flórez-Revuelta, Susanna Spinsante e Lina Xu. "Activities of Daily Living and Environment Recognition Using Mobile Devices: A Comparative Study". Electronics 9, n. 1 (18 gennaio 2020): 180. http://dx.doi.org/10.3390/electronics9010180.
Howedi, Aadel, Ahmad Lotfi e Amir Pourabdollah. "Exploring Entropy Measurements to Identify Multi-Occupancy in Activities of Daily Living". Entropy 21, n. 4 (19 aprile 2019): 416. http://dx.doi.org/10.3390/e21040416.
Martinelli, Alessio, Simone Morosi e Enrico Del Re. "Daily Living Movement Recognition for Pedestrian Dead Reckoning Applications". Mobile Information Systems 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/7128201.
Dorronzoro Zubiete, Enrique, Keigo Nakahata, Nevrez Imamoglu, Masashi Sekine, Guanghao Sun, Isabel Gomez e Wenwei Yu. "Evaluation of a Home Biomonitoring Autonomous Mobile Robot". Computational Intelligence and Neuroscience 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/9845816.
Pires, Ivan Miguel, Gonçalo Marques, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Canavarro Teixeira e Eftim Zdravevski. "Recognition of Activities of Daily Living and Environments Using Acoustic Sensors Embedded on Mobile Devices". Electronics 8, n. 12 (7 dicembre 2019): 1499. http://dx.doi.org/10.3390/electronics8121499.
Nguyen, Nhan Duc, Duong Trong Bui, Phuc Huu Truong e Gu-Min Jeong. "Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition". Journal of Sensors 2018 (13 settembre 2018): 1–13. http://dx.doi.org/10.1155/2018/9762098.
Cavalcante, Ariany F., Victor H. de L. Kunst, Thiago de M. Chaves, Júlia D. T. de Souza, Isabela M. Ribeiro, Jonysberg P. Quintino, Fabio Q. B. da Silva, André L. M. Santos, Veronica Teichrieb e Alana Elza F. da Gama. "Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data". Sensors 23, n. 17 (29 agosto 2023): 7493. http://dx.doi.org/10.3390/s23177493.
Fleury, Anthony, Norbert Noury e Michel Vacher. "Improving Supervised Classification of Activities of Daily Living Using Prior Knowledge". International Journal of E-Health and Medical Communications 2, n. 1 (gennaio 2011): 17–34. http://dx.doi.org/10.4018/jehmc.2011010102.
Meditskos, Georgios, e Ioannis Kompatsiaris. "iKnow: Ontology-driven situational awareness for the recognition of activities of daily living". Pervasive and Mobile Computing 40 (settembre 2017): 17–41. http://dx.doi.org/10.1016/j.pmcj.2017.05.003.
Onthoni, Djeane Debora, e Prasan Kumar Sahoo. "Artificial-Intelligence-Assisted Activities of Daily Living Recognition for Elderly in Smart Home". Electronics 11, n. 24 (11 dicembre 2022): 4129. http://dx.doi.org/10.3390/electronics11244129.
Ehatisham-ul-Haq, Muhammad, Fiza Murtaza, Muhammad Awais Azam e Yasar Amin. "Daily Living Activity Recognition In-The-Wild: Modeling and Inferring Activity-Aware Human Contexts". Electronics 11, n. 2 (12 gennaio 2022): 226. http://dx.doi.org/10.3390/electronics11020226.
Woznowski, Przemysław, Emma Tonkin e Peter Flach. "Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation". Sensors 18, n. 7 (20 luglio 2018): 2361. http://dx.doi.org/10.3390/s18072361.
Bhattacharya, Sarnab, Rebecca Adaimi e Edison Thomaz. "Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, n. 2 (4 luglio 2022): 1–28. http://dx.doi.org/10.1145/3534582.
Belmonte-Fernández, Óscar, Antonio Caballer-Miedes, Eris Chinellato, Raúl Montoliu, Emilio Sansano-Sansano e Rubén García-Vidal. "Anomaly Detection in Activities of Daily Living with Linear Drift". Cognitive Computation 12, n. 6 (1 luglio 2020): 1233–51. http://dx.doi.org/10.1007/s12559-020-09740-6.
Lee, Jaeryoung, e Nicholas Melo. "Habit Representation Based on Activity Recognition". Sensors 20, n. 7 (30 marzo 2020): 1928. http://dx.doi.org/10.3390/s20071928.
Javeed, Madiha, Naif Al Mudawi, Abdulwahab Alazeb, Sultan Almakdi, Saud S. Alotaibi, Samia Allaoua Chelloug e Ahmad Jalal. "Intelligent ADL Recognition via IoT-Based Multimodal Deep Learning Framework". Sensors 23, n. 18 (16 settembre 2023): 7927. http://dx.doi.org/10.3390/s23187927.
Iseda, Hikoto, Keiichi Yasumoto, Akira Uchiyama e Teruo Higashino. "Daily Living Activity Recognition with Frequency-Shift WiFi Backscatter Tags". Sensors 24, n. 11 (21 maggio 2024): 3277. http://dx.doi.org/10.3390/s24113277.
Camp, Nicola, Martin Lewis, Kirsty Hunter, Julie Johnston, Massimiliano Zecca, Alessandro Di Nuovo e Daniele Magistro. "Technology Used to Recognize Activities of Daily Living in Community-Dwelling Older Adults". International Journal of Environmental Research and Public Health 18, n. 1 (28 dicembre 2020): 163. http://dx.doi.org/10.3390/ijerph18010163.
Salguero, Alberto G., Pablo Delatorre, Javier Medina, Macarena Espinilla e Antonio J. Tomeu. "Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques". Scientific Programming 2019 (1 aprile 2019): 1–19. http://dx.doi.org/10.1155/2019/2917294.
Pires, Ivan Miguel, Gonçalo Marques, Nuno M. Garcia, Francisco Flórez-Revuelta, Maria Canavarro Teixeira, Eftim Zdravevski, Susanna Spinsante e Miguel Coimbra. "Pattern Recognition Techniques for the Identification of Activities of Daily Living Using a Mobile Device Accelerometer". Electronics 9, n. 3 (19 marzo 2020): 509. http://dx.doi.org/10.3390/electronics9030509.
Espinilla, Macarena, Javier Medina e Chris Nugent. "UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living". Proceedings 2, n. 19 (26 ottobre 2018): 1267. http://dx.doi.org/10.3390/proceedings2191267.
Saint-Maurice, Pedro De, Andres M. Calabró e Gregory J. Welk. "Validation Of A Pattern-recognition Activity Monitor In Older Adults During Daily Living Activities". Medicine & Science in Sports & Exercise 41 (maggio 2009): 544. http://dx.doi.org/10.1249/01.mss.0000356208.09006.b3.
Bensamoun, D., R. David, D. Alexandre, V. Marie e P. Robert. "537 – Comparative study of postural recognition from four actigraphs during activities of daily living". European Psychiatry 28 (gennaio 2013): 1. http://dx.doi.org/10.1016/s0924-9338(13)75833-4.
Pires, Ivan Miguel, Maria Canavarro Teixeira, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta, Susanna Spinsante, Rossitza Goleva e Eftim Zdravevski. "Android Library for Recognition of Activities of Daily Living: Implementation Considerations, Challenges, and Solutions". Open Bioinformatics Journal 11, n. 1 (22 maggio 2018): 61–88. http://dx.doi.org/10.2174/1875036201811010061.
Bouchabou, Damien, Juliette Grosset, Sao Mai Nguyen, Christophe Lohr e Xavier Puig. "A Smart Home Digital Twin to Support the Recognition of Activities of Daily Living". Sensors 23, n. 17 (1 settembre 2023): 7586. http://dx.doi.org/10.3390/s23177586.
Najjar, Mehdi, François Courtemanche, Habib Hamam, Alexandre Dion e Jéremy Bauchet. "Intelligent Recognition of Activities of Daily Living for Assisting Memory and/or Cognitively Impaired Elders in Smart Homes". International Journal of Ambient Computing and Intelligence 1, n. 4 (ottobre 2009): 46–62. http://dx.doi.org/10.4018/jaci.2009062204.
Lye, Mohd Haris, Nouar AlDahoul e Hezerul Abdul Karim. "Fusion of Appearance and Motion Features for Daily Activity Recognition from Egocentric Perspective". Sensors 23, n. 15 (30 luglio 2023): 6804. http://dx.doi.org/10.3390/s23156804.
Polo-Rodriguez, Aurora, Jose Manuel Vilchez Chiachio, Cristiano Paggetti e Javier Medina-Quero. "Ambient Sound Recognition of Daily Events by Means of Convolutional Neural Networks and Fuzzy Temporal Restrictions". Applied Sciences 11, n. 15 (29 luglio 2021): 6978. http://dx.doi.org/10.3390/app11156978.
Ayanniyi, Abdulkabir A., Christianah O. Fadamiro, Fatai O. Olatunji, Mustafa B. Hassan, Bola J. Adkoya, Joshua F. Owoeye e Isaac A. Uyanne. "Visual Disability: Causes and Implications on Patients’ Daily Living". Asian Journal of Medical Sciences 4, n. 1 (24 aprile 2013): 21–29. http://dx.doi.org/10.3126/ajms.v4i1.6842.
Li, Yun Jie, e Hui Song. "Applying Data Mining Techniques on Continuous Sensed Data for Daily Living Activity Recognition". Applied Mechanics and Materials 738-739 (marzo 2015): 191–96. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.191.
Hegde, Nagaraj, Matthew Bries, Tracy Swibas, Edward Melanson e Edward Sazonov. "Automatic Recognition of Activities of Daily Living Utilizing Insole-Based and Wrist-Worn Wearable Sensors". IEEE Journal of Biomedical and Health Informatics 22, n. 4 (luglio 2018): 979–88. http://dx.doi.org/10.1109/jbhi.2017.2734803.
Shuai Zhang, S. I. McClean e B. W. Scotney. "Probabilistic Learning From Incomplete Data for Recognition of Activities of Daily Living in Smart Homes". IEEE Transactions on Information Technology in Biomedicine 16, n. 3 (maggio 2012): 454–62. http://dx.doi.org/10.1109/titb.2012.2188534.
Herrera-Alcántara, Oscar, Ari Barrera-Animas, Miguel González-Mendoza e Félix Castro-Espinoza. "Monitoring Student Activities with Smartwatches: On the Academic Performance Enhancement". Sensors 19, n. 7 (3 aprile 2019): 1605. http://dx.doi.org/10.3390/s19071605.
Mekruksavanich, Sakorn, e Anuchit Jitpattanakul. "Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks". Information 15, n. 1 (15 gennaio 2024): 47. http://dx.doi.org/10.3390/info15010047.
Banerjee, Tanvi, James M. Keller, Mihail Popescu e Marjorie Skubic. "Recognizing complex instrumental activities of daily living using scene information and fuzzy logic". Computer Vision and Image Understanding 140 (novembre 2015): 68–82. http://dx.doi.org/10.1016/j.cviu.2015.04.005.