Academic literature on the topic 'Perturbation training'
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Journal articles on the topic "Perturbation training"
Shafahi, Ali, Mahyar Najibi, Zheng Xu, John Dickerson, Larry S. Davis, and Tom Goldstein. "Universal Adversarial Training." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5636–43. http://dx.doi.org/10.1609/aaai.v34i04.6017.
Full textGorman, Jamie C., Nancy J. Cooke, and Polemnia G. Amazeen. "Training Adaptive Teams." Human Factors: The Journal of the Human Factors and Ergonomics Society 52, no. 2 (April 2010): 295–307. http://dx.doi.org/10.1177/0018720810371689.
Full textBurne, Graham, and Christopher Tack. "Overhead Perturbation Training." Strength and Conditioning Journal 39, no. 3 (June 2017): 87–93. http://dx.doi.org/10.1519/ssc.0000000000000280.
Full textDusane, Shamali, and Tanvi Bhatt. "Mixed slip-trip perturbation training for improving reactive responses in people with chronic stroke." Journal of Neurophysiology 124, no. 1 (July 1, 2020): 20–31. http://dx.doi.org/10.1152/jn.00671.2019.
Full textTaylor, Jeffrey B. "Lower Extremity Perturbation Training." Strength and Conditioning Journal 33, no. 2 (April 2011): 76–83. http://dx.doi.org/10.1519/ssc.0b013e318211aaaa.
Full textMansfield, Avril, Amy L. Peters, Barbara A. Liu, and Brian E. Maki. "Effect of a Perturbation-Based Balance Training Program on Compensatory Stepping and Grasping Reactions in Older Adults: A Randomized Controlled Trial." Physical Therapy 90, no. 4 (April 1, 2010): 476–91. http://dx.doi.org/10.2522/ptj.20090070.
Full textEpro, G., A. Mierau, C. McCrum, M. Leyendecker, G. P. Brüggemann, and K. Karamanidis. "Retention of gait stability improvements over 1.5 years in older adults: effects of perturbation exposure and triceps surae neuromuscular exercise." Journal of Neurophysiology 119, no. 6 (June 1, 2018): 2229–40. http://dx.doi.org/10.1152/jn.00513.2017.
Full textGorman, Jamie C., Nancy J. Cooke, Jennifer L. Winner, Jasmine L. Duran, Harry K. Pedersen, and Amanda R. Taylor. "Knowledge Training versus Process Training: The Effects of Training Protocol on Team Coordination and Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 4 (October 2007): 382–86. http://dx.doi.org/10.1177/154193120705100449.
Full textRamakrishnan, Ramya, Chongjie Zhang, and Julie Shah. "Perturbation Training for Human-Robot Teams." Journal of Artificial Intelligence Research 59 (July 31, 2017): 495–541. http://dx.doi.org/10.1613/jair.5390.
Full textSilkman, Carrie, Matthew Hoch, and Jennifer McKeon. "Perturbation Training Prior to ACL Reconstruction." Athletic Therapy Today 15, no. 3 (May 2010): 11–13. http://dx.doi.org/10.1123/att.15.3.11.
Full textDissertations / Theses on the topic "Perturbation training"
Ramakrishnan, Ramya. "Perturbation training for human-robot teams." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99845.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 63-67).
Today, robots are often deployed to work separately from people. Combining the strengths of humans and robots, however, can potentially lead to a stronger joint team. To have fluid human-robot collaboration, these teams must train to achieve high team performance and flexibility on new tasks. This requires a computational model that supports the human in learning and adapting to new situations. In this work, we design and evaluate a computational learning model that enables a human-robot team to co-develop joint strategies for performing novel tasks requiring coordination. The joint strategies are learned through "perturbation training," a human team-training strategy that requires practicing variations of a given task to help the team generalize to new variants of that task. Our Adaptive Perturbation Training (AdaPT) algorithm is a hybrid of transfer learning and reinforcement learning techniques and extends the Policy Reuse in Q-Learning (PRQL) algorithm to learn more quickly in new task variants. We empirically validate this advantage of AdaPT over PRQL through computational simulations. We then augment our algorithm AdaPT with a co-learning framework and a computational bi-directional communication protocol so that the robot can work with a person in live interactions. These three features constitute our human-robot perturbation training model. We conducted human subject experiments to show proof-of-concept that our model enables a robot to draw from its library of prior experiences in a way that leads to high team performance. We compare our algorithm with a standard reinforcement learning algorithm Q-learning and find that AdaPT-trained teams achieved significantly higher reward on novel test tasks than Q-learning teams. This indicates that the robot's algorithm, rather than just the human's experience of perturbations, is key to achieving high team performance. We also show that our algorithm does not sacrifice performance on the base task after training on perturbations. Finally, we demonstrate that human-robot training in a simulation environment using AdaPT produced effective team performance with an embodied robot partner.
by Ramya Ramakrishnan.
S.M.
Bresloff, Valerie Isabel. "Stability and perturbation in counselling training : a case study." Thesis, University of Leeds, 2003. http://etheses.whiterose.ac.uk/895/.
Full textBieryla, Kathleen A. "An investigation of perturbation-based balance training as a fall prevention intervention for older adults." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28459.
Full textPh. D.
Ahn, Jooeun Ph D. Massachusetts Institute of Technology. "Feasibility of novel gait training with robotic assistance : dynamic entrainment to mechanical perturbation to the ankle." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67574.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 149-156).
Rehabilitation of human motor function is an issue of the utmost significance, and the demand for the effective rehabilitation service is even growing with the graying of the population. Robotic technology has provided promising ways to assist recovery of the motor function of upper extremities. In contrast, current robotic therapy for lower extremities has shown inferior efficacy. In this thesis, the source of the limited efficacy of current robotic walking therapy is addressed. Essential mechanical components for robustly stable walking are identified as energy dissipation and proper compensation. Based on these essential components, design criteria of effective robotic walking therapy are suggested as foot-ground interaction and ankle actuation. A novel strategy of robot aided walking therapy reflecting the design criteria is proposed; dynamically entraining human gait with periodic ankle torque from a robot. Experiments with normal subjects and neurologically impaired subjects support the feasibility of the proposed rehabilitation strategy. The gait period of subjects entrain to the periodic mechanical perturbation with a measurable basin of entrainment, and the entrainment always accompanies phase-locking so that the mechanical perturbation assists propulsion. These observations are affected neither by auditory feedback nor by a distractor task for normal subjects, and consistently observed in impaired subjects. A highly simplified one degree of freedom walking model without supra-spinal control or an intrinsic self-sustaining neural oscillator (a rhythmic pattern generator) encapsulated the essence of these observations. This suggests that several prominent limit-cycle features of human walking may stem from peripheral mechanics mediated by simple afferent feedback without significant involvement of supra-spinal control or central pattern generator. The competence of the highly simplified model supports that the proposed entrainment therapy may be effective for a wide range of neurological impairments.
by Jooeun Ahn.
Ph.D.
Parijat, Prakriti. "Preventing slip-induced falls in older adults: perturbation training using a moveable platform and virtual reality." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/40476.
Full textPh. D.
Kronenberger, Jenna N. "What is the effectiveness of neuromuscular training versus traditional strength training on restoration of knee function in the rehabilitation of non-operative or post-operative anterior cruciate ligament patients? A Systematic Review." Walsh University Honors Theses / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=walshhonors1524153666369126.
Full textBorghesi, Francesco. "Effetti del training con treadmill perturbato rispetto a training con treadmill convenzionale sulla performace del cammino e sul controllo posturale in persone affette da morbo di Parkinson: revisione sistematica della letteratura." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21963/.
Full textSousa, Patricia Nascimento de. "Efeito do treinamento de força na estabilidade postural de mulheres idosas." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/39/39132/tde-31052012-125453/.
Full textThe goal of this study was to investigate the effect of strength training of the lower limbs on postural stability of older women. Participants (n =21) were healthy, with ages ranging between 60 and 75 years (M=64.4 years); they were assigned to two groups: strength training (ST) and control (CO). These groups were compared for postural stability and muscular strength before and after a strength training program for the ST group. Postural stability was evaluated in uni and bipodal static stance, and in situations of predictable and unpredictable perturbation of balance. The predictable disturbance was produced through the action of lifting a known load (1 kg, 3 kg or 5 kg) with the hands. The unpredictable disturbance was produced by an unexpected alteration of the load of 3 kg to 1 kg or 5 kg right before lifting the load up. The results indicated increased muscle strength after strength training. Regarding postural stability, no significant difference was detected between groups for uni/bipodal static postures. Postural stability was most affected when a lighter weight was lifted in the unpredictable situation, leading to greater anterior and posterior center of pressure (CP) displacement. Strength training, however, had no effect on the initial CP displacement. After training, the ST group showed shorter time of posterior CP displacement and lower variability of CP range after compensatory adjustments. These results suggest that strength training for elderly individuals does not affect stability in static postures or the early component of adjustments to balance perturbation, but it has a positive effect on the late component of adjustments to balance perturbation
Augustijn, Julia. "Möglichkeiten und Grenzen bewegungstherapeutischer Intervention bei Parkinsonpatienten." Doctoral thesis, Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-94980.
Full textCombes, Adrien. "Influence des perturbations métaboliques sur des voies de signalisation impliquées dans la biogenèse mitochondriale." Thesis, Lille 2, 2015. http://www.theses.fr/2015LIL2S045/document.
Full textWestern life evolution is associated with an increase in sedentary behaviours and metabolic diseases leading to health alteration. This evolution affects the skeletal muscle, which is characterized by a decrease in its ability to produce aerobic energy. However, skeletal muscle is a highly malleable tissue, capable of considerable metabolic adaptations in response to physical activity. Mitochondria produce the aerobic energy within the skeletal muscle. Understanding the molecular mechanisms that regulate mitochondrial biogenesis and its function is necessary to improve physical activity prescription.The intermittent exercise is currently used in rehabilitation programs. Several arguments are put forward to utilizing this method: 1) the time spent at high oxygen consumption, 2) the high intensity of exercise and 3) the metabolic disturbances induced by variations of intensity during exercise. However, the influence of metabolic disturbances on muscle oxidative capacity has not been clearly demonstrated. The purpose of my thesis work has therefore focused on these metabolic perturbations and their effects on signalling pathways involved in mitochondrial biogenesis. In order to characterize the influence of metabolic disturbances on the signalling pathways involved in mitochondrial biogenesis, we compared the influence of acute exercises. We realized two protocols to investigate the influence of metabolic disturbances. The first study compared three intermittent exercises in order to identify the optimal duty-cycle duration to induce the biggest metabolic disturbances and to compare metabolic responses of intermittent and continuous exercise performed at 70%WRpic. The second protocol evaluated the influence of the repetition of metabolic disturbances on signalling pathways involved in mitochondrial biogenesis.In order to identify the duty-cycle duration producing more metabolic fluctuations, we analysed the changes of oxygen consumption and quantified metabolic variations. We used three parameters: 1) a quantitative parameter, 2) a qualitative parameter, and 3) an index combining quantitative and qualitative parameters. Comparison of three different duty-cycle durations (30s work:30s passive recovery; 60s:60s, and 120s:120s) revealed that the 60s:60s modality induces more metabolic fluctuations for a same energy expenditure.Our second study compared 30 minutes of pedalling at 70%WRpic realized by two different modalities: continuous (30min 1 block) and intermittent (30 1min block interspersed by 1min of passive recovery). Repetition of transitions from rest to exercise during the intermittent exercise creates higher metabolic disturbances and leads to a higher phosphorylation of AMPK, p38 MAPK and CaMKII. These kinases are upstream of PGC-1α, an important regulator of mitochondrial biogenesis in skeletal muscle. All together, these results demonstrate that metabolic disturbances are involved in mitochondrial signalling pathways activation.This work opens up new perspectives on exercise training prescription for sedentary or chronic pathology people. Future work will aim to confirm our results in chronic interventions and explore these effects in different populations
Books on the topic "Perturbation training"
Klamroth, Sarah. Perturbation Treadmill Training in Parkinson’s Disease. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20543-0.
Full textKlamroth, Sarah. Perturbation Treadmill Training in Parkinson’s Disease: A Novel Approach for Neurological Rehabilitation. Springer, 2017.
Find full textBook chapters on the topic "Perturbation training"
Klamroth, Sarah. "Introduction." In Perturbation Treadmill Training in Parkinson’s Disease, 1. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20543-0_1.
Full textKlamroth, Sarah. "Methods." In Perturbation Treadmill Training in Parkinson’s Disease, 3–7. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20543-0_2.
Full textKlamroth, Sarah. "Results." In Perturbation Treadmill Training in Parkinson’s Disease, 9–23. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20543-0_3.
Full textKlamroth, Sarah. "Discussion." In Perturbation Treadmill Training in Parkinson’s Disease, 25–27. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20543-0_4.
Full textKlamroth, Sarah. "Clinical Message." In Perturbation Treadmill Training in Parkinson’s Disease, 29. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-20543-0_5.
Full textJin, Hongwei, and Xinhua Zhang. "Robust Training of Graph Convolutional Networks via Latent Perturbation." In Machine Learning and Knowledge Discovery in Databases, 394–411. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67664-3_24.
Full textVarga, Tamás, and Horst Bunke. "Perturbation Models for Generating Synthetic Training Data in Handwriting Recognition." In Machine Learning in Document Analysis and Recognition, 333–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76280-5_13.
Full textMatjačić, Zlatko, Matjaž Zadravec, Nataša Bizovičar, Nika Goljar, and Andrej Olenšek. "Novel Perturbation-Based Approaches Using Pelvis Exoskeleton Robot in Gait and Balance Training After Stroke." In Biosystems & Biorobotics, 91–95. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01887-0_18.
Full textXu, Wei-Hong, Guo-Ping Chen, and Zhong-Ke Xie. "Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-Norms." In Advances in Neural Networks - ISNN 2006, 810–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759966_119.
Full textDuke, Michael, and S. Brent Brotzman. "Ankle-Specific Perturbation Training." In Clinical Orthopaedic Rehabilitation: a Team Approach, 273–74. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-323-39370-6.00040-8.
Full textConference papers on the topic "Perturbation training"
Wang, Zhuoyi, Yu Lin, YiFan Li, Feng Mi, Zachary Tian, Latifur Khan, and Bhavani Thuraisingham. "Unsupervised Perturbation based Self-Supervised Adversarial Training." In 2021 7th IEEE Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS). IEEE, 2021. http://dx.doi.org/10.1109/bigdatasecurityhpscids52275.2021.00015.
Full textPeng, Wei-Ren, Zhihong Li, Fei Zhu, and Yusheng Bai. "Training-based Determination of Perturbation Coefficients for Fiber Nonlinearity Mitigation." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/ofc.2015.th3d.2.
Full textSiddhartha, Siddhartha, Steven Wilton, David Boland, Barry Flower, Perry Blackmore, and Philip Leong. "Simultaneous Inference and Training Using On-FPGA Weight Perturbation Techniques." In 2018 International Conference on Field-Programmable Technology (FPT). IEEE, 2018. http://dx.doi.org/10.1109/fpt.2018.00060.
Full textZhang, Jianguo, Ji Wang, Lifang He, Zhao Li, and Philip S. Yu. "Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction." In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00197.
Full textHe, Chunmei. "Influences of Perturbation of Training Pattern Pairs on Morphological Bidirectional Associative Memories." In 2011 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2011. http://dx.doi.org/10.1109/icicta.2011.565.
Full text"On the use of simultaneous perturbation stochastic approximation for neural network training." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.782807.
Full textSato, Motoki, Jun Suzuki, Hiroyuki Shindo, and Yuji Matsumoto. "Interpretable Adversarial Perturbation in Input Embedding Space for Text." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/601.
Full textDoulaty, Mortaza, Richard Rose, and Olivier Siohan. "Automatic optimization of data perturbation distributions for multi-style training in speech recognition." In 2016 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2016. http://dx.doi.org/10.1109/slt.2016.7846240.
Full textWang, Chen, Jun Shi, Yikai Ni, Yuanyuan Zhou, Xiaqing Yang, Shunjun Wei, and Xiaoling Zhang. "Semi-Supervised Learning-Based Remote Sensing Image Scene Classification Via Adaptive Perturbation Training." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9323430.
Full textCoslovich, Giacomo, Claudio Giannetti, Federico Cilento, Gabriele Ferrini, Fulvio Parmigiani, Adolfo Avella, and Ferdinando Mancini. "Quasi-particles dynamics in underdoped Bi2212 under strong optical perturbation." In LECTURES ON THE PHYSICS OF STRONGLY CORRELATED SYSTEMS XIII: Thirteenth Training Course in the Physics of Strongly Correlated Systems. AIP, 2009. http://dx.doi.org/10.1063/1.3225479.
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