Artigos de revistas sobre o tema "Activities of daily living recognition"
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Wu, Jiaxuan, Yunfei Feng e Peng Sun. "Sensor Fusion for Recognition of Activities of Daily Living". Sensors 18, n.º 11 (19 de novembro de 2018): 4029. http://dx.doi.org/10.3390/s18114029.
Texto completo da fonteIhianle, 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.
Texto completo da fonteChua, Sook-Ling, Lee Kien Foo e Hans W. Guesgen. "Predicting Activities of Daily Living with Spatio-Temporal Information". Future Internet 12, n.º 12 (27 de novembro de 2020): 214. http://dx.doi.org/10.3390/fi12120214.
Texto completo da fonteOrtis, Alessandro, Giovanni M. Farinella, Valeria D’Amico, Luca Addesso, Giovanni Torrisi e Sebastiano Battiato. "Organizing egocentric videos of daily living activities". Pattern Recognition 72 (dezembro de 2017): 207–18. http://dx.doi.org/10.1016/j.patcog.2017.07.010.
Texto completo da fonteRefonaa, 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.º 8 (1 de agosto de 2020): 3520–25. http://dx.doi.org/10.1166/jctn.2020.9223.
Texto completo da fonteNguyen, Thi-Hoa-Cuc, Jean-Christophe Nebel e Francisco Florez-Revuelta. "Recognition of Activities of Daily Living with Egocentric Vision: A Review". Sensors 16, n.º 1 (7 de janeiro de 2016): 72. http://dx.doi.org/10.3390/s16010072.
Texto completo da fonteSalguero, Alberto, Macarena Espinilla, Pablo Delatorre e Javier Medina. "Using Ontologies for the Online Recognition of Activities of Daily Living". Sensors 18, n.º 4 (14 de abril de 2018): 1202. http://dx.doi.org/10.3390/s18041202.
Texto completo da fonteAvgerinakis, 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.º 6 (20 de novembro de 2015): 817–34. http://dx.doi.org/10.3233/ais-150347.
Texto completo da fonteCheng, 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.º 1 (9 de outubro de 2009): 29–42. http://dx.doi.org/10.1007/s11227-009-0335-0.
Texto completo da fonteAl 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.º 3 (27 de abril de 2017): 67. http://dx.doi.org/10.3991/ijim.v11i3.6469.
Texto completo da fonteMohamed, Samer A., e Uriel Martinez-Hernandez. "A Light-Weight Artificial Neural Network for Recognition of Activities of Daily Living". Sensors 23, n.º 13 (24 de junho de 2023): 5854. http://dx.doi.org/10.3390/s23135854.
Texto completo da fontePeate, Ian. "Activities of living, 4: breathing". British Journal of Healthcare Assistants 18, n.º 4 (2 de abril de 2024): 122–27. http://dx.doi.org/10.12968/bjha.2024.18.4.122.
Texto completo da fonteSu, 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.º 1 (22 de dezembro de 2020): 10. http://dx.doi.org/10.3390/app11010010.
Texto completo da fonteNasreen, 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.º 8 (18 de março de 2016): 3113–26. http://dx.doi.org/10.1007/s13369-016-2091-9.
Texto completo da fontePoularakis, 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 (abril de 2017): 1–12. http://dx.doi.org/10.1016/j.image.2017.01.005.
Texto completo da fonteFerreira, 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.º 1 (18 de janeiro de 2020): 180. http://dx.doi.org/10.3390/electronics9010180.
Texto completo da fonteHowedi, Aadel, Ahmad Lotfi e Amir Pourabdollah. "Exploring Entropy Measurements to Identify Multi-Occupancy in Activities of Daily Living". Entropy 21, n.º 4 (19 de abril de 2019): 416. http://dx.doi.org/10.3390/e21040416.
Texto completo da fonteMartinelli, 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.
Texto completo da fonteDorronzoro 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.
Texto completo da fontePires, 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.º 12 (7 de dezembro de 2019): 1499. http://dx.doi.org/10.3390/electronics8121499.
Texto completo da fonteNguyen, 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 de setembro de 2018): 1–13. http://dx.doi.org/10.1155/2018/9762098.
Texto completo da fonteCavalcante, 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.º 17 (29 de agosto de 2023): 7493. http://dx.doi.org/10.3390/s23177493.
Texto completo da fonteFleury, 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.º 1 (janeiro de 2011): 17–34. http://dx.doi.org/10.4018/jehmc.2011010102.
Texto completo da fonteMeditskos, Georgios, e Ioannis Kompatsiaris. "iKnow: Ontology-driven situational awareness for the recognition of activities of daily living". Pervasive and Mobile Computing 40 (setembro de 2017): 17–41. http://dx.doi.org/10.1016/j.pmcj.2017.05.003.
Texto completo da fonteOnthoni, Djeane Debora, e Prasan Kumar Sahoo. "Artificial-Intelligence-Assisted Activities of Daily Living Recognition for Elderly in Smart Home". Electronics 11, n.º 24 (11 de dezembro de 2022): 4129. http://dx.doi.org/10.3390/electronics11244129.
Texto completo da fonteEhatisham-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.º 2 (12 de janeiro de 2022): 226. http://dx.doi.org/10.3390/electronics11020226.
Texto completo da fonteWoznowski, Przemysław, Emma Tonkin e Peter Flach. "Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation". Sensors 18, n.º 7 (20 de julho de 2018): 2361. http://dx.doi.org/10.3390/s18072361.
Texto completo da fonteBhattacharya, 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.º 2 (4 de julho de 2022): 1–28. http://dx.doi.org/10.1145/3534582.
Texto completo da fonteBelmonte-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.º 6 (1 de julho de 2020): 1233–51. http://dx.doi.org/10.1007/s12559-020-09740-6.
Texto completo da fonteLee, Jaeryoung, e Nicholas Melo. "Habit Representation Based on Activity Recognition". Sensors 20, n.º 7 (30 de março de 2020): 1928. http://dx.doi.org/10.3390/s20071928.
Texto completo da fonteJaveed, 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.º 18 (16 de setembro de 2023): 7927. http://dx.doi.org/10.3390/s23187927.
Texto completo da fonteIseda, Hikoto, Keiichi Yasumoto, Akira Uchiyama e Teruo Higashino. "Daily Living Activity Recognition with Frequency-Shift WiFi Backscatter Tags". Sensors 24, n.º 11 (21 de maio de 2024): 3277. http://dx.doi.org/10.3390/s24113277.
Texto completo da fonteCamp, 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.º 1 (28 de dezembro de 2020): 163. http://dx.doi.org/10.3390/ijerph18010163.
Texto completo da fonteSalguero, 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 de abril de 2019): 1–19. http://dx.doi.org/10.1155/2019/2917294.
Texto completo da fontePires, 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.º 3 (19 de março de 2020): 509. http://dx.doi.org/10.3390/electronics9030509.
Texto completo da fonteEspinilla, Macarena, Javier Medina e Chris Nugent. "UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living". Proceedings 2, n.º 19 (26 de outubro de 2018): 1267. http://dx.doi.org/10.3390/proceedings2191267.
Texto completo da fonteSaint-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 (maio de 2009): 544. http://dx.doi.org/10.1249/01.mss.0000356208.09006.b3.
Texto completo da fonteBensamoun, 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 (janeiro de 2013): 1. http://dx.doi.org/10.1016/s0924-9338(13)75833-4.
Texto completo da fontePires, 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.º 1 (22 de maio de 2018): 61–88. http://dx.doi.org/10.2174/1875036201811010061.
Texto completo da fonteBouchabou, 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.º 17 (1 de setembro de 2023): 7586. http://dx.doi.org/10.3390/s23177586.
Texto completo da fonteNajjar, 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.º 4 (outubro de 2009): 46–62. http://dx.doi.org/10.4018/jaci.2009062204.
Texto completo da fonteLye, Mohd Haris, Nouar AlDahoul e Hezerul Abdul Karim. "Fusion of Appearance and Motion Features for Daily Activity Recognition from Egocentric Perspective". Sensors 23, n.º 15 (30 de julho de 2023): 6804. http://dx.doi.org/10.3390/s23156804.
Texto completo da fontePolo-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.º 15 (29 de julho de 2021): 6978. http://dx.doi.org/10.3390/app11156978.
Texto completo da fonteAyanniyi, 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.º 1 (24 de abril de 2013): 21–29. http://dx.doi.org/10.3126/ajms.v4i1.6842.
Texto completo da fonteLi, Yun Jie, e Hui Song. "Applying Data Mining Techniques on Continuous Sensed Data for Daily Living Activity Recognition". Applied Mechanics and Materials 738-739 (março de 2015): 191–96. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.191.
Texto completo da fonteHegde, 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.º 4 (julho de 2018): 979–88. http://dx.doi.org/10.1109/jbhi.2017.2734803.
Texto completo da fonteShuai 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.º 3 (maio de 2012): 454–62. http://dx.doi.org/10.1109/titb.2012.2188534.
Texto completo da fonteHerrera-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.º 7 (3 de abril de 2019): 1605. http://dx.doi.org/10.3390/s19071605.
Texto completo da fonteMekruksavanich, Sakorn, e Anuchit Jitpattanakul. "Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks". Information 15, n.º 1 (15 de janeiro de 2024): 47. http://dx.doi.org/10.3390/info15010047.
Texto completo da fonteBanerjee, 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 (novembro de 2015): 68–82. http://dx.doi.org/10.1016/j.cviu.2015.04.005.
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