Добірка наукової літератури з теми "Human gait model"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Human gait model".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Human gait model"
Otoda, Yuji, Hiroshi Kimura, and Kunikatsu Takase. "Construction of Gait Adaptation Model in Human Splitbelt Treadmill Walking." Applied Bionics and Biomechanics 6, no. 3-4 (2009): 269–84. http://dx.doi.org/10.1155/2009/305061.
Повний текст джерелаBhangale, Ashish. "Human Gait Model for Automatic Extraction and Description for Gait Recognition." International Journal on Bioinformatics & Biosciences 2, no. 2 (June 30, 2012): 15–28. http://dx.doi.org/10.5121/ijbb.2012.2202.
Повний текст джерелаDuan, X. H., R. H. Allen, and J. Q. Sun. "A stiffness-varying model of human gait." Medical Engineering & Physics 19, no. 6 (September 1997): 518–24. http://dx.doi.org/10.1016/s1350-4533(97)00022-2.
Повний текст джерелаAshkenazy, Yosef, Jeffrey M. Hausdorff, Plamen Ch. Ivanov, and H. Eugene Stanley. "A stochastic model of human gait dynamics." Physica A: Statistical Mechanics and its Applications 316, no. 1-4 (December 2002): 662–70. http://dx.doi.org/10.1016/s0378-4371(02)01453-x.
Повний текст джерелаAbdolvahab, Mohammad. "A synergetic model for human gait transitions." Physica A: Statistical Mechanics and its Applications 433 (September 2015): 74–83. http://dx.doi.org/10.1016/j.physa.2015.03.049.
Повний текст джерелаLacker, HM, TH Choi, S. Schenk, B. Gupta, RP Narcessian, SA Sisto, S. Massood, et al. "21 A mathematical model of human gait dynamics." Gait & Posture 5, no. 2 (April 1997): 176. http://dx.doi.org/10.1016/s0966-6362(97)83418-2.
Повний текст джерелаZeng, Wei, Cong Wang, and Yuanqing Li. "Model-Based Human Gait Recognition Via Deterministic Learning." Cognitive Computation 6, no. 2 (June 7, 2013): 218–29. http://dx.doi.org/10.1007/s12559-013-9221-4.
Повний текст джерелаAlsaif, Omar Ibrahim, Saba Qasim Hasan, and Abdulrafa Hussain Maray. "Using skeleton model to recognize human gait gender." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 2 (June 1, 2023): 974. http://dx.doi.org/10.11591/ijai.v12.i2.pp974-983.
Повний текст джерелаYang, Fan, Jun Wang, and Jin Ping Sun. "Human Gaits Differentiation Based on Micro-Doppler Features." Advanced Materials Research 846-847 (November 2013): 203–6. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.203.
Повний текст джерелаHUANG, BUFU, MENG CHEN, KA KEUNG LEE, and YANGSHENG XU. "HUMAN IDENTIFICATION BASED ON GAIT MODELING." International Journal of Information Acquisition 04, no. 01 (March 2007): 27–38. http://dx.doi.org/10.1142/s0219878907001137.
Повний текст джерелаДисертації з теми "Human gait model"
Yoo, Jang-Hee. "Recognizing human gait by model-driven statistical analysis." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414595.
Повний текст джерелаNiu, Feng. "Human Activity Recognition and Pathological Gait Pattern Identification." Scholarly Repository, 2007. http://scholarlyrepository.miami.edu/oa_dissertations/247.
Повний текст джерелаSharif, Bidabadi Shiva. "Human Gait Model Development for Objective Analysis of Pre/Post Gait Characteristics Following Lumbar Spine Surgery." Thesis, Curtin University, 2019. http://hdl.handle.net/20.500.11937/78468.
Повний текст джерелаKo, Seung-uk. "Human gait analysis by gait pattern measurement and forward dynamic model combined with non linear feedback control /." Connect to this title online, 2007. http://hdl.handle.net/1957/3754.
Повний текст джерелаXiao, Ming. "Computer simulation of human walking model sensitivity and application to stroke gait /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 129 p, 2009. http://proquest.umi.com/pqdweb?did=1885693291&sid=2&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Повний текст джерелаSrinivasan, Sujatha. "Low-dimensional modeling and analysis of human gait with application to the gait of transtibial prosthesis users." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1179865923.
Повний текст джерелаLane, Gregory. "Human Knee FEA Model for Transtibial Amputee Tibial Cartilage Pressure in Gait and Cycling." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1833.
Повний текст джерелаBoonpratatong, Amaraporn. "Motion prediction and dynamic stability analysis of human walking : the effect of leg property." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/motion-prediction-and-dynamic-stability-analysis-of-human-walking-the-effect-of-leg-property(f36922af-1231-4dac-a92f-a16cbed8d701).html.
Повний текст джерелаSmith, Benjamin A. "Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/28360.
Повний текст джерелаPh. D.
Hill, David Allen Ph D. Massachusetts Institute of Technology. "A 3D neuromuscular model of the human ankle-foot complex based on multi-joint biplanar fluoroscopy gait analysis." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119073.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 111-117).
During the gait cycle, the human ankle complex serves as a primary power generator while simultaneously stabilizing the entire limb. These actions are controlled by an intricate interplay of several lower leg muscles that cannot be fully uncovered using experimental methods alone. A combination of experiments and mathematical modeling may be used to estimate aspects of neuromusculoskeletal functions that control human gait. In this research, a three-dimensional neuromuscular model of the human ankle-foot complex based on biplanar fluoroscopy gait analysis is presented. Biplanar fluoroscopy (BiFlo) enables three-dimensional bone kinematics analysis using x-ray videos and bone geometry from segmented CT. Hindered by a small capture volume relative to traditional optical motion capture (MOCAP), BiFlo applications to human movement are generally limited to single-joint motions with constrained range. Here, a hybrid procedure is developed for multi-joint gait analysis using BiFlo and MOCAP in tandem. MOCAP effectively extends BiFlo's field-of-view. Subjects walked at a self-selected pace along a level walkway while BiFlo, MOCAP, and ground reaction forces were collected. A novel methodology was developed to register separate BiFlo measurements of the knee and ankle-foot complex. Kinematic analysis of bones surrounding the knee, ankle, and foot was performed. Kinematics obtained using this technique were compared to those calculated using only MOCAP during stance phase. Results show that this hybrid protocol effectively measures knee and ankle kinematics in all three body planes. Additionally, sagittal plane kinematics for select foot bone segments (proximal phalanges, metatarsals, and midfoot) was realized. The proposed procedure offers a novel approach to human gait analysis that eliminates errors originated by soft tissue artifacts, and is especially useful for ankle joint analysis, whose complexities are often simplified in MOCAP studies. Outcomes of the BiFlo walking experiments helped guide the development of a three-dimensional neuromuscular model of the human ankle-foot complex. Driven by kinematics, kinetics, and electromyography (EMG), the model seeks to solve the redundancy problem, individual muscle-tendon contributions to net joint torque, in ankle and subtalar joint actuation during overground gait. Kinematics and kinetics from BiFlo walking trials enable estimations of muscle-tendon lengths, moment arms, and joint torques. EMG yields estimates of muscle activation. Using each of these as inputs, an optimization approach was employed to calculate sets of morphological parameters that simultaneously maximize the neuromuscular model's metabolic efficiency and fit to experimental joint torques. This approach is based on the hypothesis that the muscle-tendon morphology of the human leg has evolved to maximize metabolic efficiency of walking at self-selected speed. Optimal morphological parameter sets produce estimates of force contributions and states for individual muscles. This research lends insight into the possible roles of individual muscle-tendons in the leg that lead to efficient gait.
by David Allen Hill.
Ph. D.
Книги з теми "Human gait model"
Van Den Meerssche, Dimitri. The World Bank's Lawyers. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192846495.001.0001.
Повний текст джерелаBauer, Jack. The Transformative Self. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780199970742.001.0001.
Повний текст джерелаButton, Chris, Ludovic Seifert, Jia Yi Chow, Duarte Araújo, and Keith Davids. Dynamics of Skill Acquisition. 2nd ed. Human Kinetics, 2021. http://dx.doi.org/10.5040/9781718214125.
Повний текст джерелаKokas, Aynne. Trafficking Data. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197620502.001.0001.
Повний текст джерелаKennedy, J. Gerald, and Scott Peeples, eds. The Oxford Handbook of Edgar Allan Poe. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190641870.001.0001.
Повний текст джерелаFarias, Pedro Lima Gondim de, and Marcus Aurélio de Freitas Barros. Advocacia na Era Digital: Uma análise sobre possíveis impactos práticos e jurídicos das novas tecnologias na dinâmica da advocacia privada. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-213-1.
Повний текст джерелаCappuccio, Massimiliano L., ed. Handbook of Embodied Cognition and Sport Psychology. The MIT Press, 2019. http://dx.doi.org/10.7551/mitpress/10764.001.0001.
Повний текст джерелаShengelia, Revaz. Modern Economics. Universal, Georgia, 2021. http://dx.doi.org/10.36962/rsme012021.
Повний текст джерелаЧастини книг з теми "Human gait model"
Nixon, Mark S., Tieniu Tan, and Rama Chellappa. "Model-Based Approaches." In Human Identification Based on Gait, 107–33. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-29488-9_6.
Повний текст джерелаYang, Jiankun, Dewen Jin, Linhong Ji, Jichuan Zhang, Rencheng Wang, Xin Fang, and Dawei Zhou. "An Inverse Dynamical Model for Slip Gait." In Digital Human Modeling, 253–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73321-8_30.
Повний текст джерелаBaker, Richard, Fabien Leboeuf, Julie Reay, and Morgan Sangeux. "The Conventional Gait Model - Success and Limitations." In Handbook of Human Motion, 489–508. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_25.
Повний текст джерелаBaker, Richard, Fabien Leboeuf, Julie Reay, and Morgan Sangeux. "The Conventional Gait Model - Success and Limitations." In Handbook of Human Motion, 1–19. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-30808-1_25-2.
Повний текст джерелаYagi, Yasushi, Ikuhisa Mitsugami, Satoshi Shioiri, and Hitoshi Habe. "Behavior Understanding Based on Intention-Gait Model." In Human-Harmonized Information Technology, Volume 2, 139–72. Tokyo: Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-56535-2_5.
Повний текст джерелаBhanu, Bir, and Ju Han. "Discrimination Analysis for Model-Based Gait Recognition." In Human Recognition at a Distance in Video, 57–64. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-124-0_4.
Повний текст джерелаCalow, Roman, Bernd Michaelis, and Ayoub Al-Hamadi. "Solutions for Model-Based Analysis of Human Gait." In Lecture Notes in Computer Science, 540–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45243-0_69.
Повний текст джерелаBhanu, Bir, and Ju Han. "Model-Free Gait-Based Human Recognition in Video." In Human Recognition at a Distance in Video, 25–56. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-124-0_3.
Повний текст джерелаBhanu, Bir, and Ju Han. "Model-Based Human Recognition—2D and 3D Gait." In Human Recognition at a Distance in Video, 65–94. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-124-0_5.
Повний текст джерелаZell, Petrissa, and Bodo Rosenhahn. "A Physics-Based Statistical Model for Human Gait Analysis." In Lecture Notes in Computer Science, 169–80. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24947-6_14.
Повний текст джерелаТези доповідей конференцій з теми "Human gait model"
Shirke, Suvarna, S.S.Pawar, and Kamal Shah. "Literature Review: Model Free Human Gait Recognition." In 2014 International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2014. http://dx.doi.org/10.1109/csnt.2014.252.
Повний текст джерелаSivolobov, Sergey. "Human Gait Model Optimization for Person Identification." In 2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2022. http://dx.doi.org/10.1109/summa57301.2022.9973857.
Повний текст джерелаRani, Veenu, and Munish Kumar. "DeepNet-Gait: Human Identification by Gait Using Convolutional Neural Network Model." In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2023. http://dx.doi.org/10.1109/spin57001.2023.10117067.
Повний текст джерелаGeisheimer, Jonathan L., Eugene F. Greneker III, and William S. Marshall. "High-resolution Doppler model of the human gait." In AeroSense 2002, edited by Nickolas L. Faust, James L. Kurtz, and Robert Trebits. SPIE, 2002. http://dx.doi.org/10.1117/12.488286.
Повний текст джерелаLiu, Hongcheng, Xiaodong Zhang, Ke Zhu, and Hang Niu. "Thigh Skin Strain Model for Human Gait Movement." In 2021 IEEE Asia Conference on Information Engineering (ACIE). IEEE, 2021. http://dx.doi.org/10.1109/acie51979.2021.9381089.
Повний текст джерелаLi, Zhihui, and Fenggang Huang. "Human Gait Tracking Based on Linear Model Fitting." In 2006 International Multi-Symposiums on Computer and Computational Sciences (IMSCCS). IEEE, 2006. http://dx.doi.org/10.1109/imsccs.2006.76.
Повний текст джерелаGhaeminia, Mohammad H., Ali Badiezadeh, and Shahriar B. Shokouhi. "An Efficient Energy Model for Human Gait Recognition." In 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2016. http://dx.doi.org/10.1109/dicta.2016.7797006.
Повний текст джерелаChen, Meng, Bufu Huang, and Yangsheng Xu. "Human Abnormal Gait Modeling via Hidden Markov Model." In 2007 International Conference on Information Acquisition. IEEE, 2007. http://dx.doi.org/10.1109/icia.2007.4295787.
Повний текст джерелаDao, Trung-Kien. "A Human Gait Model Using Graph-Theoretic Method." In Proceedings of The 3rd IFToMM International Symposium on Robotics and Mechatronics, Chair Van-Hiep Dao. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-7744-9_012.
Повний текст джерелаThayer, Jessica B., and Philip A. Voglewede. "Improvement of a Forward Dynamic Predictive Human Gait Model." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97162.
Повний текст джерелаЗвіти організацій з теми "Human gait model"
Muelaner, Jody, ed. Unsettled Issues in Commercial Vehicle Platooning. SAE International, November 2021. http://dx.doi.org/10.4271/epr2021027.
Повний текст джерелаCONSENSUS STUDY ON THE STATE OF THE HUMANITIES IN SOUTH AFRICA: STATUS, PROSPECTS AND STRATEGIES. Academy of Science of South Africa, 2011. http://dx.doi.org/10.17159/assaf.2016/0025.
Повний текст джерела