Auswahl der wissenschaftlichen Literatur zum Thema „Human falls modelling“
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Zeitschriftenartikel zum Thema "Human falls modelling"
Ullah, Shahid, Caroline F. Finch und Lesley Day. „Statistical modelling for falls count data“. Accident Analysis & Prevention 42, Nr. 2 (März 2010): 384–92. http://dx.doi.org/10.1016/j.aap.2009.08.018.
Der volle Inhalt der QuelleSantos, Guto, Patricia Endo, Kayo Monteiro, Elisson Rocha, Ivanovitch Silva und Theo Lynn. „Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks“. Sensors 19, Nr. 7 (06.04.2019): 1644. http://dx.doi.org/10.3390/s19071644.
Der volle Inhalt der QuelleShahabpoor, E., und A. Pavic. „Human-Structure Dynamic Interaction during Short-Distance Free Falls“. Shock and Vibration 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/2108676.
Der volle Inhalt der QuelleKolla, Eduard, und Veronika Adamová. „3D modelovanie pre potreby simulačnej rekonštrukcie pádu ľudského subjektu z výšky“. Krízový manažment 22, Nr. 2 (2023): 55–63. http://dx.doi.org/10.26552/krm.c.2023.2.55-63.
Der volle Inhalt der QuelleBOSIAKOV, Sergei M., Sergei A. PRONKEVICH, Igor A. MOROZ und Gennadi I. ZALUZHNI. „BIOMECHANICAL MODELLING OF THE HUMAN SKULL STRESS STATE UNDER IMPACT BY CYLINDRICAL SOLID“. Mechanics of Machines, Mechanisms and Materials 1, Nr. 62 (März 2023): 88–94. http://dx.doi.org/10.46864/1995-0470-2023-1-62-88-94.
Der volle Inhalt der QuelleVincze, Janos, und Gabriella Vincze-Tiszay. „The Biophysical Modelling of the Stress Theory“. Advances in Social Sciences Research Journal 10, Nr. 3 (01.04.2023): 344–51. http://dx.doi.org/10.14738/assrj.103.14350.
Der volle Inhalt der QuelleP, Nishanth. „Machine Learning based Human Fall Detection System“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VI (25.06.2021): 2677–82. http://dx.doi.org/10.22214/ijraset.2021.35394.
Der volle Inhalt der QuelleHanappi, Hardy. „Perplexing complexity human modelling and primacy of the group as essence of complexity“. Review of Evolutionary Political Economy 1, Nr. 3 (November 2020): 397–417. http://dx.doi.org/10.1007/s43253-020-00028-x.
Der volle Inhalt der QuelleShalom, N., R. Rabin, A. J. Abinesh, Abi Sam EA und Aadith B. Roshan. „Design and FEM-based Analysis of Wheel Rims“. International Journal for Research in Applied Science and Engineering Technology 11, Nr. 8 (31.08.2023): 1297–302. http://dx.doi.org/10.22214/ijraset.2023.55336.
Der volle Inhalt der QuelleTariq, Ali, Babar Ali, Fahim Ullah und Fahad K. Alqahtani. „Reducing Falls from Heights through BIM: A Dedicated System for Visualizing Safety Standards“. Buildings 13, Nr. 3 (02.03.2023): 671. http://dx.doi.org/10.3390/buildings13030671.
Der volle Inhalt der QuelleDissertationen zum Thema "Human falls modelling"
Nowakowski, Katharine. „The prediction and management of muscle ageing : 3D musculoskeletal simulations and multi-scale biomechanical modeling for the analysis of human falls and fall prevention strategies through the application of artificial intelligence approaches“. Electronic Thesis or Diss., Compiègne, 2023. http://www.theses.fr/2023COMP2763.
Der volle Inhalt der QuelleThe age-related decline in muscle function is linked to both sarcopenia and an increased risk for falls. In this doctoral project, an analysis of the morphological, functional, mechanical and biophysical parameters known to be affected by ageing is presented. The data has been analysed with statistical and machine learning techniques. These results influenced the development of a deep reinforcement learning simulation for both young adult and elderly falls, based on the parameters sensitive to ageing such as maximum isometric force, contraction velocity, deactivation time, passive muscle strain, hip extension range and a mass shift from the legs to the trunk. Testing of the sensitivity of the results then led to the development of a coupled simulation to study falls recovery, where the effects of sensory nerves and proprioception was considered. The strategy for coupling allows for recovery for any fall position to be analysed to further test the limits of recovery produced by the given model. The results from each aspect of the project suggest that muscle ageing can be further elucidated through the development of a multi-scale model that could consider fatigue and the effect of biophysical changes on movement outcomes. A multi-scale model, where agent-based modelling is coupled to a reinforcement learning environment is proposed. The model accounts for the conversion of type II muscle fibres to type I fibres, as well as considers the dynamics of calcium, inorganic phosphate, and ATP, with prospective for further adaptations. This work demonstrates the interest in further exploration of complex human system modelling by leveraging artificial intelligence techniques
Mastorakis, Georgios. „Human fall detection methodologies : from machine learning using acted data to fall modelling using myoskeletal simulation“. Thesis, Kingston University, 2018. http://eprints.kingston.ac.uk/42275/.
Der volle Inhalt der QuelleLe, Goïc Maëva. „Etude du contrôle postural chez l'homme : analyse des facteurs neurophysiologiques, biomécaniques et cognitifs, impliqués dans les 500 premières millisecondes d'une chute“. Phd thesis, Université René Descartes - Paris V, 2013. http://tel.archives-ouvertes.fr/tel-01002633.
Der volle Inhalt der QuelleSanthiranayagam, Braveena K. „Machine-Learning Applications to Gait Biomechanics using Inertial Sensor Signals“. Thesis, 2016. https://vuir.vu.edu.au/34110/.
Der volle Inhalt der QuelleBuchteile zum Thema "Human falls modelling"
Salama, Mohamed, und Ashraf Hana. „Sustainable Construction, Green Building Strategic Model“. In Principles of Sustainable Project Management. Goodfellow Publishers, 2018. http://dx.doi.org/10.23912/9781911396857-3966.
Der volle Inhalt der QuelleZhang, Zhaoyan, Dongda Zhang und Ehecatl Antonio del Rio Chanona. „Data-driven Model Construction“. In Machine Learning and Hybrid Modelling for Reaction Engineering, 24–55. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781837670178-00024.
Der volle Inhalt der QuelleAgua, Pedro B., Anacleto C. Correia und Armindo Frias. „Optimizing Supply Chains Through System Dynamics Modelling and Simulation“. In Computational Thinking for Problem Solving and Managerial Mindset Training, 31–56. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7126-2.ch002.
Der volle Inhalt der QuelleC. Nkwunonwo, Ugonna. „Flood Risk Analysis for Critical Infrastructure Protection: Issues and Opportunities in Less Developed Societies“. In Issues on Risk Analysis for Critical Infrastructure Protection [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.95364.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Human falls modelling"
Pramanik, Anima, Kavya Venkatagiri, Sobhan Sarkar und Sankar K. Pal. „Deep Network-based Slow Feature Analysis for Human Fall Detection“. In 2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO). IEEE, 2022. http://dx.doi.org/10.1109/iccmso58359.2022.00024.
Der volle Inhalt der QuelleHarrou, Fouzi, Nabil Zerrouki, Ying Sun und Amrane Houacine. „Statistical control chart and neural network classification for improving human fall detection“. In 2016 8th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2016. http://dx.doi.org/10.1109/icmic.2016.7804269.
Der volle Inhalt der QuelleAn, Wei, und Yucai Zhou. „Modeling and simulation of fall process dynamics based on a simplified human body model“. In 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), herausgegeben von Xuebin Chen und Hari Mohan Srivastava. SPIE, 2023. http://dx.doi.org/10.1117/12.2686655.
Der volle Inhalt der QuelleChen, Xubin, Lei Tian, Pan Tang und Jianhua Zhang. „Modelling of Human Body Shadowing Based on 28 GHz Indoor Measurement Results“. In 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE, 2016. http://dx.doi.org/10.1109/vtcfall.2016.7881093.
Der volle Inhalt der QuellePieterse, Inge. „Improving cost modelling of residential property replacement costs for short-term insurance purposes: A South African Perspective“. In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003088.
Der volle Inhalt der QuelleShekhunova, Stella, Iryna Sanina, Tetiana Kril und Nataliia Symar. „KAKHOVSKA HYDROELECTRIC POWER PLANT DAM EXPLOSION: IMPACT ON WATER RESOURCES AND ACTIVATION OF HAZARDOUS EXOGENOUS GEOLOGICAL PROCESSES“. In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023v/3.2/s12.18.
Der volle Inhalt der QuelleVinod-Buchinger, Aditya, und Sam Griffiths. „Spatial cultures of Soho, London. Exploring the evolution of space, culture and society of London's infamous cultural quarter“. In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/sxol5829.
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