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Статті в журналах з теми "Passive human joint models"
WANG, KE-YI, WEN-YAN ZHAO, ZHUANG HAN, WAN-LI WANG, and XIAO-QIANG TANG. "REHABILITATIVE STRATEGIES OF MULTIPLE LOWER LIMBS TRAINING MODELS." Journal of Mechanics in Medicine and Biology 18, no. 08 (December 2018): 1840030. http://dx.doi.org/10.1142/s0219519418400304.
Повний текст джерелаZhang, Leiyu, Jianfeng Li, Junhui Liu, Peng Su, and Chunzhao Zhang. "Design and Kinematic Analysis of Co-Exoskeleton with Passive Translational Joints for Upper-Limb Rehabilitation." International Journal of Humanoid Robotics 15, no. 05 (September 27, 2018): 1850020. http://dx.doi.org/10.1142/s0219843618500202.
Повний текст джерелаCORAZZA, FEDERICO, VINCENZO PARENTI-CASTELLI, RITA STAGNI, ANGELO CAPPELLO, JOHN J. O'CONNOR, and ALBERTO LEARDINI. "BIOMECHANICS OF THE INTACT AND REPLACED HUMAN ANKLE JOINT." Journal of Mechanics in Medicine and Biology 06, no. 01 (March 2006): 39–46. http://dx.doi.org/10.1142/s0219519406001819.
Повний текст джерелаDi Gregorio, Raffaele, and Vincenzo Parenti-Castelli. "A Spatial Mechanism With Higher Pairs for Modelling the Human Knee Joint." Journal of Biomechanical Engineering 125, no. 2 (April 1, 2003): 232–37. http://dx.doi.org/10.1115/1.1559895.
Повний текст джерелаKositsky, Adam, David J. Saxby, Kim J. Lesch, Rod S. Barrett, Heikki Kröger, Olli Lahtinen, Laura E. Diamond, Rami K. Korhonen, and Lauri Stenroth. "In vivo assessment of the passive stretching response of the bicompartmental human semitendinosus muscle using shear-wave elastography." Journal of Applied Physiology 132, no. 2 (February 1, 2022): 438–47. http://dx.doi.org/10.1152/japplphysiol.00473.2021.
Повний текст джерелаDi Gregorio, R., V. Parenti-Castelli, J. J. O’Connor, and A. Leardini. "Mathematical models of passive motion at the human ankle joint by equivalent spatial parallel mechanisms." Medical & Biological Engineering & Computing 45, no. 3 (February 13, 2007): 305–13. http://dx.doi.org/10.1007/s11517-007-0160-7.
Повний текст джерелаZhou, Congcong, Zhao Yang, Kaitai Li, and Xuesong Ye. "Research and Development of Ankle–Foot Orthoses: A Review." Sensors 22, no. 17 (September 1, 2022): 6596. http://dx.doi.org/10.3390/s22176596.
Повний текст джерелаEngin, Ali Erkan, and Shuenn-Muh Chen. "Kinematic and Passive Resistive Properties of Human Elbow Complex." Journal of Biomechanical Engineering 109, no. 4 (November 1, 1987): 318–23. http://dx.doi.org/10.1115/1.3138687.
Повний текст джерелаHughes, J. A. E., P. Maiolino, and F. Iida. "An anthropomorphic soft skeleton hand exploiting conditional models for piano playing." Science Robotics 3, no. 25 (December 19, 2018): eaau3098. http://dx.doi.org/10.1126/scirobotics.aau3098.
Повний текст джерелаLi, Na, Ziyan Hao, Haiyong Jiang, and Bo Yu. "Positioning Control of a Human-Machine Cooperative Grafting Manipulator for Unstructured Environments." Transactions of the ASABE 63, no. 5 (2020): 1477–91. http://dx.doi.org/10.13031/trans.13817.
Повний текст джерелаДисертації з теми "Passive human joint models"
Mbouzao, Boniface. "Quantitative Assessment of Human Motion Capabilities with Passive Vision Monitoring." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24295.
Повний текст джерелаTout, Bilal. "Identification of human-robot systems in physical interaction : application to muscle activity detection." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. https://ged.uphf.fr/nuxeo/site/esupversions/36d9eab3-c170-4e40-abb6-e6b4e27aeee2.
Повний текст джерелаOver the last years, physical human-robot interaction has become an important research subject, for example for rehabilitation applications. This PhD aims at improving these interactions, as part of model-based controllers development, using parametric identification approaches to identify models of the systems in interaction. The goal is to develop identification methods taking into account the variability and complexity of the human body, and only using the sensor of the robotic system to avoid adding external sensors. The different approaches presented in this thesis are tested experimentally on a one degree of freedom (1-DOF) system allowing the interaction with a person’s hand.After a 1st chapter presenting the state-of-the-art, the 2nd chapter tackles the identification methods developed in robotics as well as the issue of data filtering, analyzed both in simulation and experimentally. The question of the low-pass filter tuning is addressed, and in particular the choice of the cut-off frequency which remains delicate for a nonlinear system. To overcome these difficulties, a filtering technique using an extended Kalman filter (EKF) is developed from the robot dynamic model. The proposed EKF formulation allows a filter tuning depending on the known properties of the sensor and on the confidence on the initial parameters estimations. This method is compared in simulation and experimentally to different existing methods by analyzing its sensitivity to initialization and filter tuning. Results show that the proposed method is promising if the EKF is correctly tuned.The 3rd chapter concerns the continuous identification of the parameters of the model of a passive system interacting with a robotic system, by combining payload identification methods with online identification algorithms, without external sensors. These methods are validated in simulation and experimentally with the 1-DOF system whose handle is attached to elastic rubber bands to emulate a passive human joint. The analysis of the effects of the online methods tuning highlights a necessary trade-off between the convergence speed and the accuracy of the parameters estimates. Finally, the comparison of the payload identification methods shows that methods identifying separately the robotic system and the passive human parameters give better accuracy and a lower computation complexity.The 4th chapter deals with the identification during the human-robot interaction. A quadratic stiffness model is proposed to better fit the passive human joint behavior than a linear stiffness model. Then, this model is used with an iterative identification method based on outlier rejection technique, to detect the human user muscle activity without external sensors. This method is compared experimentally to a non-iterative method that uses electromyography (EMG), by adapting the 1-DOF system to interact with the wrist and to allow the detection of the flexor and extensor muscle activity of two human users. The proposed iterative identification method not using EMG signals achieves results close to those obtained with the non-iterative method using EMG signals when a model that correctly represents the passive human joint behavior is selected. The muscle activity detection results obtained with both methods show a satisfactory level of similarity compared to those obtained directly from EMG signals
Chen, Shuenn-muh. "Kinematic and passive resistive properties of human shoulder hip and elbow complexes /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266691095932.
Повний текст джерелаParameswaran, Luckshman. "The effects of passive joint movement on human ankle stretch reflex dynamics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29621.pdf.
Повний текст джерелаParameswaran, Luckshman. "The effects of passive joint movement on human ankle stretch reflex dynamics /." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27248.
Повний текст джерелаThe stretch reflex gain was found to decrease progressively as the average velocity of the applied movement increased. The velocity-mediated effects were a function of the amplitude distribution characteristics, rather than the spectral properties, of the applied motion. The experiments confirmed that although the stretch reflex response is large enough to be important its effects will depend on the functional context.
Harben, Alan M. "An Electromyographic kinetic model for passive stretch of hypertonic elbow flexors." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/20301.
Повний текст джерелаMcFaull, Steven R. "Measurement and statistical analysis of the passive viscoelastic properties of the human knee joint during flexion and extension motion." Thesis, University of Ottawa (Canada), 1993. http://hdl.handle.net/10393/6922.
Повний текст джерелаUsta, Umit Y. "Comparison of quaternion and euler angle methods for joint angle animation of human figure models." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA361544.
Повний текст джерелаThesis advisor(s): Robert B. McGhee, Michael J. Zyda. "March 1999". Includes bibliographical references (p. 201-203). Also available online.
Wang, Yang. "Passive and muscle-based predictive computer models of seated and supine humans in whole-body vibration." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3549.
Повний текст джерелаAlderslade, Villene. "The correlation between passive and dynamic rotation in both the lead and trail hips of healthy young adult male golfers during a golf swing." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86370.
Повний текст джерелаENGLISH ABSTRACT: Introduction-The golf swing is a complex, sequenced movement of body segments. This movement is smooth and well timed and is referred to as the kinematic golf sequence. This kinematic sequence illustrates the rotational speed, which occurs between the upper and lower body segments. Hip rotation plays an integral part to a sound kinematic sequence by providing a pivotal point between the upper and lower body segments, ensuring a synchronised golf swing. Hip rotation kinematics during a golf swing has received relatively little attention compared to other body segments’ movements. However, clinicians need to have a clear understanding of the rotational contribution that each hip make during golf swing in order to enhance the athlete’s performance and reduce the risk of injury. The aim of this descriptive research project was to obtain and investigate the total passive and total dynamic rotation range of movement in both the lead and trail hips of healthy, young adult, male golfers. Methodology-Seven, low handicapped, male golfers between the ages of 18 and 40 years were randomly selected in the Western Cape region from areas surrounding Stellenbosch University’s Tygerberg campus. A questionnaire gathered participant demographics that determined participatory eligibility. A preliminary reliability study established a baseline measurement for passive total articular hip rotation. Seatadjusted total passive hip rotation ranges of motion (ROM) measurements were collected with a hand-held inclinometer. Dynamic total hip rotation kinematic data was captured during a golf swing with an 8-camera video analysis system (VICON). Data analyses were performed with Statistica version 10. Hand-held inclinometer intra-rater reliability was determined with a two-way interclass correlation, standard error of measurement and a 95% confidence interval level. A Spearman correlation coefficient determined correlation between the total passive and total dynamic rotation range of movement in both the lead and trail hips. Results-Passive intra-rater reliability was reported as 0.81 (95% CI: 0.46-0.96). The total average passive articular range between the lead (62.1° ±6.4°) and trail hip (61.4° ±3.8°) did not report any significant difference (p=0.8). The total average dynamic golf swing articular range between the lead (29° ± 6.5°) and trail hip (35.° ±7.8°), was reported as significantly (p=0.04) asymmetric. The findings also demonstrated a positive correlation between the passive and dynamic total articular range in a lead hip, whereas a negative correlation was reported in a trail hip. During the golf swing the lead hip utilised 46.4%(± 8) of the total passive available hip rotation, whereas the trail hip utilised 58.8% (±13.2). Discussion and Conclusions-The findings of this study show that, the passive rotation ROM in a hip (LH=62°; TH=61°) of a golf player does not exceed the available range it has during a golf swing. The golfer’s hip utilises 46% of the available passive range of movement in the lead hip and 59% in the trail hip. In the clinical field careful consideration should be given to the motivation behind mobilizing, treating or stretching the hips of a golf player. These findings can be incorporated in future research on the relationship between hip-rotation ROM and reduction in the incidence of injuries amongst golfers.
AFRIKAANSE OPSOMMING: Inleiding-Die gholfswaai is n komplekse, opeenvolgende beweging van verskeie liggaamsegmente. Hierdie gladde opeenvolgende bewegings word die kinematiese gholfpatron genoem. Hierdie kinematiese opeenvolgende bewegings bied ’n illustrastrasie van die rotasiespoed waarteen die beweging tussen die boonste en onderste liggaamsegmente plaasvind. Heuprotasie speel ’n deurslaggewende rol in hierdie glad verlopende kinematiese proses. Dit dien as ’n spilpunt tussend die boonste en onderste kwadrant, wat op sy beurt weer ’n gesinkroniseerde gholfswaai verseker. Die heuprotasie kinamtieka tydens n gholfswaai het relatief minder aandag ontvang in vergelyking met ander liggaamsegmente. Klinici moet instaat gestel word om ’n duidelike begrip aangaande die bydrae wat heuprotasie tydens ’n golfswaai lewer, te ontwikkel. Die atleet se prestasie kan sodoende verbeter word, en die risiko tot beserings kan ook sodoende voorkom word. Die doel van hierdie beskrywende navorsingsprojek was om te bepaal wat die totale passiewe en die totale dinamies rotasie omvang van die leidende en volgende heupe van gesonde jong mans wat gholf speel, te ondersoek. Metodologie-Sewe gholf-geskoolde manlike gholf spelers met ’n lae voorgee en tussen die ouderdom van 18 en 40 jaar is ewekansig gekies. Hierdie kandidate is gekies uit die omliggende gebiede van die Stellenbosch Tygerberg kampus in die Wes-Kaap waar hulle relatief naby woonagtig was. ’n Vraelys is aangewend om demografiese eienskappe van elke deelnemer in te samel. Hierdie inligting wat deur die vraelys bekom is, is gebruik om te bepaal of die deelnemers in aanmerking is vir die studie. ’n Voorlopige, intra-meter betroubaarheidstudie is gedoen vir passiewe, totale artikulêre heuprotasiemetings wat met ’n hand hanteerbare hoek meter geneem is. ’n Algemene fisiese ondersoek is in die biomeganiese labaratorium afgehandel om te bepaal of die deelnemers geskik is vir die toetse. Sit-aangepaste passiewe totale hip rotasie beweging metings was ingesamel met 'n hand hanteerbare hoek meter. Intra-meter betroubaarheid is bepaal met ’n twee-rigting interklas korrelasie, standaard foutmeting en ’n 95% vertroue interval vlak. Dinamiese totale heup kinematiese rotasiedata is afgeneem met ’n hoë-spoed 3-D videografiestelsel (VICON) tydens 'n gholfswaai. Data-ontleding is bereken met ’n Statistica weergawe 10. Die gemiddelde en Spearman korrelasie koëffisiënt is gebruik as aanwysers van verspreiding. Resultate-Passiewe inter-meter betroubaarheid word geraporteer as 0.81 (95% KI: 0.46-0.96). Die resultate dui op ’n onbeduidende totale passiewe artikulêre reeks verskille tussen die leidende (voorste) (62.1 ± 6.4 °) en volgende (agterste) heupe (61.4 ° ± 3.8 °). ’n Beduidende totale dinamiese artikulêre reeks van die leidende (29 ° ± 6.5 °) en volgende heupe (35.9 ° ± 7.8 °) is tydens die gholfswaai bereik. Verdere resultate toon ’n positiewe korrelasie tussen die passiewe en dinamiese totale artikulêre reeks in die leidende heup, terwyl ’n negatiewe korrelasie gerapporteer word vir die volgende (agterste) heup. Tydens ’n gholfswaai gebruik die leidende heup 46.4% (± 8%) van die totale passiewe beskikbaar heuprotasie, terwyl die opvolgende (agterste) heup 58.8% (± 13.2%) aanwend. Bespreking en gevolgtrekking-Die bevindinge van hierdie studie toon dat tydens ’n gholfswaai, ’n gesonde gholfspeler nie die beskikbare passiewe beweging wat in sy heup bestaan oorskry nie. Slegs 46.4% van die beskikbare passiewe beweging in sy leidende heup word gebruik, en 58.8% van sy agterste heup. Die klinisie moet deeglike oorweging gegee word aan die motivering agter die mobilisering, strekke en die behandeling van die heupe van ’n gholfspeler. Hierdie bevindings kan in toekomstige navorsing geimplimenteer word om die verhouding wat tussen die omvange vand heuprotasie bestaan te ondersoek. Die voorkoming van moontlike toekomstige beserings in gholfspelers kan ook verhoed word.
Книги з теми "Passive human joint models"
Comparison of Quaternion and Euler Angle Methods for Joint Angle Animation of Human Figure Models. Storming Media, 1999.
Знайти повний текст джерелаResolving indeterminacy associated with joint-level motor equivalence in planar aimed arm movements. 1994.
Знайти повний текст джерела(Editor), Richard N. Taylor, and Joelle Coutaz (Editor), eds. Software Engineering and Human-Computer Interaction: Icse '94 Workshop on Se-Hci : Joint Research Issues Sorrento, Italy, May 16-17, 1994 : Proceedings (Lecture Notes in Computer Science, Vol 896). Springer, 1995.
Знайти повний текст джерелаDartnall, Terry, ed. Creativity, Cognition, and Knowledge. Praeger, 2002. http://dx.doi.org/10.5040/9798400633553.
Повний текст джерелаClack, Timothy, and Marcus Brittain, eds. Archaeologies of Cultural Contact. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780199693948.001.0001.
Повний текст джерелаЧастини книг з теми "Passive human joint models"
Blankevoort, L., R. Huiskes, and A. de Lange. "The Reproducibility of Passive Human Knee-Joint Motion Characteristics." In Biomechanics: Current Interdisciplinary Research, 309–14. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-7432-9_42.
Повний текст джерелаAssi, Ayman, Wafa Skalli, and Ismat Ghanem. "Next-Generation Models Using Optimized Joint Center Location." In Handbook of Human Motion, 527–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_27.
Повний текст джерелаAssi, Ayman, Wafa Skalli, and Ismat Ghanem. "Next-Generation Models Using Optimized Joint Center Location." In Handbook of Human Motion, 1–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30808-1_27-1.
Повний текст джерелаTrad, Zahra, Abdelwahed Barkaoui, Moez Chafra, and João Manuel R. S. Tavares. "Finite Element Models of the Knee Joint." In FEM Analysis of the Human Knee Joint, 1–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74158-1_1.
Повний текст джерелаGragg, Jared, Jingzhou (James) Yang, and Robyn Boothby. "Posture Reconstruction Method for Mapping Joint Angles of Motion Capture Experiments to Simulation Models." In Digital Human Modeling, 69–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21799-9_8.
Повний текст джерелаChoi, Hyeon Ki, Si Yeol Kim, and Hyeon Chang Choi. "Biomechanical Analysis of the Musculoskeletal System of Human Foot by Using Passive Elastic Characteristics of Joint." In Key Engineering Materials, 2231–34. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-456-1.2231.
Повний текст джерелаGherman, Diana E., and Thorsten O. Zander. "Implicit Human Feedback for Large Language Models: A Passive-Brain Computer Interfaces Study Proposal." In Lecture Notes in Information Systems and Organisation, 279–86. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-71385-9_24.
Повний текст джерелаRuprecht, Ruth M. "Passive Immunization with Human Neutralizing Monoclonal Antibodies Against HIV-1 in Macaque Models: Experimental Approaches." In Therapeutic Antibodies, 559–66. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-554-1_31.
Повний текст джерелаFranci, Riccardo, and Vincenzo Parenti-Castelli. "A One-Degree-of-Freedom Spherical Wrist for the Modelling of Passive Motion of the Human Ankle Joint." In Interdisciplinary Applications of Kinematics, 183–95. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2978-0_14.
Повний текст джерелаKaiser, André, Michael Spitzhirn, and Angelika C. Bullinger. "Joint Angle Depending Representation of Maximum Forces in Digital Human Models: Investigating Multivariate Joint-Torque Polynomials for Elbow Flexion and Elbow Extension." In Advances in Ergonomic Design of Systems, Products and Processes, 349–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53305-5_25.
Повний текст джерелаТези доповідей конференцій з теми "Passive human joint models"
Ortiz, Lizeth Calderón, Bryan Castillo, and Peter Thomson. "Efectos de la Interacción Humano-Estructura pasiva en propiedades dinámicas de estructuras." In IABSE Congress, San José 2024: Beyond Structural Engineering in a Changing World, 1223–31. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2024. https://doi.org/10.2749/sanjose.2024.1223.
Повний текст джерелаZhu, Xianglu, Zhang Zhang, Wei Wang, Zilei Wang, and Liang Wang. "Learning Energy-Based Models for 3D Human Pose Estimation." In 2024 International Joint Conference on Neural Networks (IJCNN), 1–8. IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650155.
Повний текст джерелаKawasaki, Atsushi, Sho Yokota, Akihiro Matsumoto, Daisuke Chugo, Satoshi Muramatsu, and Hiroshi Hashimoto. "Development of Hands-Free Crutch with Passive Load-Sensitive Joint capable Locking Rotation." In 2024 16th International Conference on Human System Interaction (HSI), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/hsi61632.2024.10613590.
Повний текст джерелаTa, Bao Thang, Minh Khang Pham, Nhat Minh Le, and Van Hai Do. "Human Behavior Modeling in Speech Transcribing Process via Pretrained Speech Recognition Models." In 2024 International Joint Conference on Neural Networks (IJCNN), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650855.
Повний текст джерелаXu, Bangrui, Fuhui Sun, Xiaoliang Liu, Peng Wu, Xiaoyan Wang, and Li Pan. "Complex Claim Verification via Human Fact-Checking Imitation with Large Language Models." In 2024 19th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 1–6. IEEE, 2024. https://doi.org/10.1109/isai-nlp64410.2024.10799276.
Повний текст джерелаDi Gregorio, Raffaele, and Vincenzo Parenti-Castelli. "Three-Equation Kinematic Models for the Human Knee Passive Motion Simulation." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21111.
Повний текст джерелаDi Gregorio, R., and V. Parenti-Castelli. "Systematic Sensitivity Analysis of Spatial One-DOF Models of Diarthrodial Joints." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84939.
Повний текст джерелаMoglo, K., and A. Shirazi-Adl. "Response Analysis of Passive Human Knee Joint in Flexion Under Anterior-Posterior Loads." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/bed-23072.
Повний текст джерелаAbedin, Alireza, S. Hamid Rezatofighi, Qinfeng Shi, and Damith C. Ranasinghe. "SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/801.
Повний текст джерелаChagdes, James R., Joao P. Freire, and Amit Shukla. "Nonlinear Dynamics of Upright Human Balance While Using a Passive-Cane." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9863.
Повний текст джерела