Relevant bibliographies by topics / Human locomotion

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Human locomotion'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Human locomotion"

1

Hughes, J. "Human Locomotion." International Journal of Rehabilitation Research 8 (September 1985): 60. http://dx.doi.org/10.1097/00004356-198509001-00107.

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Minetti, Alberto. "Human locomotion." Journal of Biomechanics 40 (January 2007): S4. http://dx.doi.org/10.1016/s0021-9290(07)70004-0.

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Oldenborg, Per-Arne, and Janove Sehlin. "The Glucose Concentration Modulates N-Formyl-Methionyl-Leucyl-Phenylalanine (fMet-Leu-Phe)-Stimulated Chemokinesis in Normal Human Neutrophils." Bioscience Reports 19, no. 6 (December 1, 1999): 511–23. http://dx.doi.org/10.1023/a:1020286010551.

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The effects of glucose concentration on the chemokinetic effects of the chemotactic peptide N-formyl-methionyl-leucyl-phenylalanine (fMet-Leu-Phe) was evaluated for normal human neutrophils using a direct microscopic assay. fMet-Leu-Phe increased the rate of locomotion in the absence of glucose, but the chemokinetic effect of fMet-Leu-Phe was most potent at 5mM glucose and not further changed at 15 mM glucose. The chemokinetic effects of fMet-Leu-Phe and glucose were essentially the same in blood clot-isolated and gradient-isolated neutrophils. However, in gradient-isolated neutrophils, the rate of locomotion under different experimental conditions was strictly negatively correlated to the fraction of non-locomoting cells and the degree of adhesion to the substratum. These results indicate that the chemokinetic effects of fMet-Leu-Phe are regulated by the glucose concentration by inducing locomotor activity in otherwise non-locomoting cells and by improving adhesion to the substratum.
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Yokoyama, Hikaru, Tetsuya Ogawa, Masahiro Shinya, Noritaka Kawashima, and Kimitaka Nakazawa. "Speed dependency in α-motoneuron activity and locomotor modules in human locomotion: indirect evidence for phylogenetically conserved spinal circuits." Proceedings of the Royal Society B: Biological Sciences 284, no. 1851 (March 29, 2017): 20170290. http://dx.doi.org/10.1098/rspb.2017.0290.

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Coordinated locomotor muscle activity is generated by the spinal central pattern generators (CPGs). Vertebrate studies have demonstrated the following two characteristics of the speed control mechanisms of the spinal CPGs: (i) rostral segment activation is indispensable for achieving high-speed locomotion; and (ii) specific combinations between spinal interneuronal modules and motoneuron (MN) pools are sequentially activated with increasing speed. Here, to investigate whether similar control mechanisms exist in humans, we examined spinal neural activity during varied-speed locomotion by mapping the distribution of MN activity in the spinal cord and extracting locomotor modules, which generate basic MN activation patterns. The MN activation patterns and the locomotor modules were analysed from multi-muscle electromyographic recordings. The reconstructed MN activity patterns were divided into the following three patterns depending on the speed of locomotion: slow walking, fast walking and running. During these three activation patterns, the proportion of the activity in rostral segments to that in caudal segments increased as locomotion speed increased. Additionally, the different MN activation patterns were generated by distinct combinations of locomotor modules. These results are consistent with the speed control mechanisms observed in vertebrates, suggesting phylogenetically conserved spinal mechanisms of neural control of locomotion.
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Friedl, P., P. B. Noble, and K. S. Zänker. "T lymphocyte locomotion in a three-dimensional collagen matrix. Expression and function of cell adhesion molecules." Journal of Immunology 154, no. 10 (May 15, 1995): 4973–85. http://dx.doi.org/10.4049/jimmunol.154.10.4973.

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Abstract T cell locomotion within the extracellular matrix may be mediated by cell adhesion molecules. We investigated the expression and function of beta 1- and beta 2-integrins and CD44 on human peripheral CD4+ and CD8+ lymphocytes locomoting in a 3-D type I collagen matrix. Paths of randomly selected T cells were digitized from time-lapse videorecordings and were quantitatively analyzed. After the blocking of CD49b with mAb Gi9, the locomotion of a defined locomotor subset (50% of spontaneously locomoting cells) was inhibited. Anti-CD49d mAb HP2/1 and an activating anti-CD44 mAb (J173), respectively, induced transient recruitment (< 1 h) of previously nonmotile cells (10 to 35%). In contrast to the J173-induced short-term locomotion, hyaluronan incorporated within the matrix promoted locomotion for > 2 h. No significant effects were present for anti-CD49f (GoH3) and -CD11a (25.3) mAbs. After the addition of IL-8 to the matrix, rapid induction of locomotion in 20 to 30% of the cells (control) was evident, which was virtually abolished by anti-alpha 2- and alpha 6-integrin, and -CD11a mAbs. Thus, the locomotion of nonactivated and IL-8-activated T cells may involve different sets of integrins. Using flow cytometry, the development of a CD49b+CD29highCD44lowL-selectinlow T cell phenotype independent of activation markers including CD25, CD27, CD28, VLA-4, and CD45RA- to CD45RO-transition was observed after 4 days in the matrix. The initial development of spontaneous locomotion in the collagen matrix, however, was not accompanied by alterations in CAM surface staining and, therefore, may involve functional CAM activation rather than involving an increase in surface expression.
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Glasheen, J. W., and T. A. McMahon. "Arms are different from legs: mechanics and energetics of human hand-running." Journal of Applied Physiology 78, no. 4 (April 1, 1995): 1280–87. http://dx.doi.org/10.1152/jappl.1995.78.4.1280.

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To determine whether nonlocomotor limbs (arms) differ from locomotor limbs (legs), we trained human subjects to run on their hands while supporting a fraction of their body weight. We wanted to know whether the low cost of force production and the speed-independent limb stiffness of locomotor limbs were characteristics associated with locomotion or were inherent properties of all limbs. We found that the limb stiffness of the human arm increases by 135% over less than a fourfold range in peak vertical force. In contrast, human legs and a variety of other mammalian locomotor limbs maintain a constant stiffness, regardless of speed and loading, for normal running. In addition, we explored the energetics of locomotion in hand-running. The economy of force generation (in J/N) is invariant with speed, as is found in legged locomotion. However, our results show that the metabolic cost of force generation while running on human arms is four to five times greater than the cost of force generation for the locomotor limbs of running quadrupeds.
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Olds, Tim. "Modelling Human Locomotion." Sports Medicine 31, no. 7 (2001): 497–509. http://dx.doi.org/10.2165/00007256-200131070-00005.

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Mille, Marie-Laure, Martin Simoneau, and Mark W. Rogers. "Postural dependence of human locomotion during gait initiation." Journal of Neurophysiology 112, no. 12 (December 15, 2014): 3095–103. http://dx.doi.org/10.1152/jn.00436.2014.

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The initiation of human walking involves postural motor actions for body orientation and balance stabilization that must be effectively integrated with locomotion to allow safe and efficient transport. Our ability to coordinately adapt these functions to environmental or bodily changes through error-based motor learning is essential to effective performance. Predictive compensations for postural perturbations through anticipatory postural adjustments (APAs) that stabilize mediolateral (ML) standing balance normally precede and accompany stepping. The temporal sequencing between these events may involve neural processes that suppress stepping until the expected stability conditions are achieved. If so, then an unexpected perturbation that disrupts the ML APAs should delay locomotion. This study investigated how the central nervous system (CNS) adapts posture and locomotion to perturbations of ML standing balance. Healthy human adults initiated locomotion while a resistance force was applied at the pelvis to perturb posture. In experiment 1, using random perturbations, step onset timing was delayed relative to the APA onset indicating that locomotion was withheld until expected stability conditions occurred. Furthermore, stepping parameters were adapted with the APAs indicating that motor prediction of the consequences of the postural changes likely modified the step motor command. In experiment 2, repetitive postural perturbations induced sustained locomotor aftereffects in some parameters (i.e., step height), immediate but rapidly readapted aftereffects in others, or had no aftereffects. These results indicated both rapid but transient reactive adaptations in the posture and gait assembly and more durable practice-dependent changes suggesting feedforward adaptation of locomotion in response to the prevailing postural conditions.
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Behrman, Andrea L., and Susan J. Harkema. "Locomotor Training After Human Spinal Cord Injury: A Series of Case Studies." Physical Therapy 80, no. 7 (July 1, 2000): 688–700. http://dx.doi.org/10.1093/ptj/80.7.688.

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AbstractMany individuals with spinal cord injury (SCI) do not regain their ability to walk, even though it is a primary goal of rehabilitation. Mammals with thoracic spinal cord transection can relearn to step with their hind limbs on a treadmill when trained with sensory input associated with stepping. If humans have similar neural mechanisms for locomotion, then providing comparable training may promote locomotor recovery after SCI. We used locomotor training designed to provide sensory information associated with locomotion to improve stepping and walking in adults after SCI. Four adults with SCIs, with a mean postinjury time of 6 months, received locomotor training. Based on the American Spinal Injury Association (ASIA) Impairment Scale and neurological classification standards, subject 1 had a T5 injury classified as ASIA A, subject 2 had a T5 injury classified as ASIA C, subject 3 had a C6 injury classified as ASIA D, and subject 4 had a T9 injury classified as ASIA D. All subjects improved their stepping on a treadmill. One subject achieved overground walking, and 2 subjects improved their overground walking. Locomotor training using the response of the human spinal cord to sensory information related to locomotion may improve the potential recovery of walking after SCI.
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Minassian, Karen, Ursula S. Hofstoetter, Florin Dzeladini, Pierre A. Guertin, and Auke Ijspeert. "The Human Central Pattern Generator for Locomotion: Does It Exist and Contribute to Walking?" Neuroscientist 23, no. 6 (March 28, 2017): 649–63. http://dx.doi.org/10.1177/1073858417699790.

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The ability of dedicated spinal circuits, referred to as central pattern generators (CPGs), to produce the basic rhythm and neural activation patterns underlying locomotion can be demonstrated under specific experimental conditions in reduced animal preparations. The existence of CPGs in humans is a matter of debate. Equally elusive is the contribution of CPGs to normal bipedal locomotion. To address these points, we focus on human studies that utilized spinal cord stimulation or pharmacological neuromodulation to generate rhythmic activity in individuals with spinal cord injury, and on neuromechanical modeling of human locomotion. In the absence of volitional motor control and step-specific sensory feedback, the human lumbar spinal cord can produce rhythmic muscle activation patterns that closely resemble CPG-induced neural activity of the isolated animal spinal cord. In this sense, CPGs in humans can be defined by the activity they produce. During normal locomotion, CPGs could contribute to the activation patterns during specific phases of the step cycle and simplify supraspinal control of step cycle frequency as a feedforward component to achieve a targeted speed. Determining how the human CPGs operate will be essential to advance the theory of neural control of locomotion and develop new locomotor neurorehabilitation paradigms.
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Dissertations / Theses on the topic "Human locomotion"

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Hanson, Nardie Kathleen Igraine. "Cognitive and locomotor strategies of arboreal locomotion in non-human apes and humans." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/7122/.

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Arboreal travel for large apes is energetically demanding and risky due to the complexity of the forest canopy. Careful selection of supports is therefore essential for safe and efficient locomotion. This thesis investigates the factors involved in route and support selection in bonobos (Pan paniscus) and in modern human (Homo sapiens) tree climbers. Naturalistically housed bonobos were given a choice of two ropes, one that provided easy access and another that required more demanding postures, with which to access a hard-to-reach food goal. The bonobos selected a rope based on its distance from the goal and its flexibility. Decision making in human tree climbers was investigated using a novel combination of qualitative (participant interviews) and quantitative (observations of behaviour) data. Participants were asked to collect goals from within a tree crown three times each. Interviews revealed that participants either considered risk avoidance or ease/efficiency as the main factor influencing their decisions whilst climbing. Those considering risk took longer to complete each climb, but became quicker after their first climb. These studies demonstrate that the demands of the arboreal environment require knowledge of the functional properties of supports and that memory of specific routes may increase the efficiency of arboreal locomotion.
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INVERNIZZI, FABIO. "Human locomotion energy harvesting." Doctoral thesis, Università degli studi di Pavia, 2018. http://hdl.handle.net/11571/1214837.

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Vaughan, Christopher Leonard (Kit). "The biomechanics of human locomotion." Doctoral thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/3491.

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Includes bibliographical references. The thesis on CD-ROM includes Animate, GaitBib, GaitBook and GaitLab, four quick time movies which focus on the functional understanding of human gait. The CD-ROM is available at the Health Sciences Library.
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Meglan, Dwight Alan. "Enhanced analysis of human locomotion." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1239984087.

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Goslin, Brian Richard. "Economy and efficiency of human locomotion." Thesis, Rhodes University, 1985. http://hdl.handle.net/10962/d1007177.

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Human locomotor economy and efficiency are highly variable. This study investigated the role that stature plays in this variation, by evaluating metabolic and respiratory responses to walking and running at speeds set relative to one's stature. Four groups of subjects: male, high V0₂ max (n = 11); male, average V0₂ max (n = 10); female, high V0₂ max (n = 10); and female, average V0₂ max (n = 11) were habituated to treadmill locomotion prior to the measurement of maximal oxygen consumption (V0₂ max). The V0₂ max test entailed 1 km.h⁻¹ increases per min from 3 to 6 km.h⁻¹ walking, and 7 - 17 km.h⁻¹ running then 1% grade increments per min until exhaustion. On each of four other occasions, the subject walked or ran at 6 of a variety of relative speeds - walking at 0.5, 0.7, 0.9, 1.1, 1.3; running at 1.5, 1.7, 1.9 and for selected subjects 2.1, 2.3 and 2.5 statures.s⁻¹ ,and grades - 0%, +3%, -3%. Steady-state respiratory and metabolic responses, and treadmill speed were monitored by an on-line computer system developed for this study. Cadence and RPE were also monitored. All subjects demonstrated an exponential relationship between V0₂ and walking relative speed (st.s⁻¹) (RS) . V0₂ (ml.kg⁻¹.min⁻¹ ) = 4.747 * e(1.371*RS) During running this relationship was essentially linear . The variability of economy at relative speed (9.08%) and absolute speed (9. 01%) did not differ. Male and female subjects did not differ in response to absolute speed but females were more economical at relative speeds (p<0.05). Those with high and average aerobic capacity did not differ in locomotor economy at relative speed. Higher freely-chosen stride length was associated with a higher V0₂ response as velocity increased. The V0₂ of uphill walking was 1.4 times greater than that for downhill walking (running: 1.28 times) . Stride length decreased with increasing speed in uphill locomotion but the reverse was the case for downhill. The economy and efficiency of walking was greater than that of running. Walking economy was maximal between 0.7 and 0.9 st. s⁻¹. Running economy remained essentially unaffected by increased velocity. The setting of locomotor velocity relative to stature does not minimize inter-subject variability in metabolic and respiratory response .
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Yamashita, Daichi. "The mechanics of human sideways locomotion." Kyoto University, 2014. http://hdl.handle.net/2433/188791.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(人間・環境学)
甲第18353号
人博第666号
新制||人||160(附属図書館)
25||人博||666(吉田南総合図書館)
31211
京都大学大学院人間・環境学研究科共生人間学専攻
(主査)准教授 神﨑 素樹, 教授 森谷 敏夫, 准教授 久代 恵介, 教授 小田 伸午
学位規則第4条第1項該当
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Rosen, Sarah Tucker Carole Seliktar Rahamim. "The propulsion dynamics of human locomotion /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3020.

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Revelle, Matthew. "Representing and visualizing articulated movement." Fairfax, VA : George Mason University, 2009. http://hdl.handle.net/1920/4570.

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Thesis (M.S.)--George Mason University, 2009.
Vita: p. 29. Thesis director: Zoran Durić. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science. Title from PDF t.p. (viewed Oct. 11, 2009). Includes bibliographical references (p. 27-28). Also issued in print.
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Wisti, Andrew Zachary. "Human Vestibular Signals Generated by Natural Locomotion." Thesis, University of California, Irvine, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10289128.

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Sensory systems are believed to take advantage of the properties of natural stimuli. Natural images, for example, follow normality and a power-law which are reflected in the dynamics of visual cells. In order to better understand the vestibular system we examined natural human motion. We measured torso and head angular velocities of human subjects who walked, jogged, and climbed a staircase. Angular velocity distributions of the head and torso were fit well by Cauchy distributions, while power spectral densities did not follow a power law. We found that neither a power law nor a two-line-segment fit were sufficient to fit power spectral densities of angular velocity. Increases in power at the gait frequency and its harmonics are not well fit by lines. Differences between torso and head motion show a more evenly distributed reduction of angular velocities, presumably by the neck, in the semicircular canal frame of reference. Coherence between torso and head angular velocity did not show a linear relationship over all frequencies, but did suggest a linear relationship at the fundamental gait frequency and its harmonics. Reduction in angular velocity between the torso and head was then modeled by an adaptive linear filter. Results were mixed and depended on subject, condition, and axis. Qualitatively, predictions of angular velocity were good, capturing both the amplitude and periodicity of the actual head velocity. Finally, initial results were replicated while normalizing gait cycles using linear length normalization. Natural walking and running conditions were compared to treadmill walking and running. Subjects showed significantly different peak velocities during natural and treadmill conditions despite similar movement speeds. Coherence was also different between natural and treadmill conditions. These results provide evidence that natural and treadmill locomotion are treated differently, possibly due to the lack of visual input during treadmill locomotion. Subjects also walked with their heads turned to either the left or right, separating direction of motion and direction of the head. Angular velocity during these conditions show that head direction is not important for stabilizing the head, suggesting that efference copies play a role in head stabilization.

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Zamparo, Paola. "Optimization and transmission efficiency in human locomotion." Thesis, Manchester Metropolitan University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251301.

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Books on the topic "Human locomotion"

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Biomechanics, Canadian Society for. Human Locomotion VI =. Québec, Qué: Canadian Society for Biomechanics, 1990.

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Morecki, A., and K. J. Waldron, eds. Human and Machine Locomotion. Vienna: Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2674-5.

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Bennett, Matthew R., and Sarita A. Morse. Human Footprints: Fossilised Locomotion? Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08572-2.

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Muneo, Shimamura, Grillner Sten 1941-, Edgerton V. Reggie, Tōkyō-to Shinkei Kagaku Sōgō Kenkyūjo., and International Symposium on Neurobiological Basis of Human Locomotion (1989 : Tokyo), eds. Neurobiological basis of human locomotion. Tokyo: Japan Scientific Societies Press, 1991.

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1918-, Kondō Shirō, ed. Primate morphophysiology, locomotor analyses, and human bipedalism. [Tokyo]: University of Tokyo Press, 1985.

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Medved, Vladimir, ed. Measurement and Analysis of Human Locomotion. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79685-3.

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1952-, Allard Paul, and International Society of Biomechanics, eds. Three-dimensional analysis of human locomotion. Chichester, England: J. Wiley, 1997.

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Székely, Bertalan. Székely Bertalan mozgástanulmányai. Budapest: Magyar Képzőművészeti Főiskola, 1992.

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Wen-Ruey, Chang, Courtney Theodore K, and Gronqvist Raoul, eds. Measuring slipperiness: Human locomotion and surface factors. New York: Taylor and Francis, 2003.

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1806-1871, Weber E., ed. Mechanics of the human walking apparatus. Berlin: Springer-Verlag, 1991.

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Book chapters on the topic "Human locomotion"

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Bennett, Matthew R., and Sarita A. Morse. "Fossilised Locomotion." In Human Footprints: Fossilised Locomotion?, 1–12. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08572-2_1.

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Iwata, Hiroo. "Locomotion Interfaces." In Human Walking in Virtual Environments, 199–219. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-8432-6_9.

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Berme, N., E. Oggero, and G. Pagnacco. "Characteristics of Human Locomotion." In Human and Machine Locomotion, 79–86. Vienna: Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2674-5_2.

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Watson, Jo, Rachel Payne, Andrew Chamberlain, R. Jones, and William Sellers. "The Influence of Load Carrying on Gait Parameters in Humans and Apes: Implications for the Evolution of Human Bipedalism." In Primate Locomotion, 109–34. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1420-0_7.

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Soper, Roland. "Support, Muscles and Locomotion." In Human Biology GCSE, 132–46. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-12789-4_9.

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Berns, Karsten. "Human-Like Bipedal Locomotion." In Synergetic Cooperation Between Robots and Humans, 5. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47269-5_3.

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Bennett, Matthew R., and Sarita A. Morse. "Geoconservation of Human Tracks." In Human Footprints: Fossilised Locomotion?, 81–100. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08572-2_4.

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Bennett, Matthew R., and Sarita A. Morse. "Inferences from Human Tracks." In Human Footprints: Fossilised Locomotion?, 137–71. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08572-2_6.

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Cavagna, Giovanni. "Muscle, Locomotion and Heart." In Fundamentals of Human Physiology, 65–123. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19404-8_2.

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Bennett, Matthew R., and Sarita A. Morse. "Methods of Data Capture and Analysis." In Human Footprints: Fossilised Locomotion?, 13–46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08572-2_2.

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Conference papers on the topic "Human locomotion"

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Debevec, Paul. "Relighting human locomotion." In ACM SIGGRAPH 2006 Computer animation festival. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1179196.1179274.

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PANDY, MARCUS. "MUSCLE COORDINATION OF HUMAN LOCOMOTION." In Proceedings of the 16th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814525534_0003.

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Amirudin, Ahamed Nizam, and S. Parasuraman. "Bio mechanics and human locomotion." In 2014 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2014. http://dx.doi.org/10.1109/iccic.2014.7238460.

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Luca, Ramona, and Silviu-Ioan Bejinariu. "Classification Method for Human Locomotion." In 2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2018. http://dx.doi.org/10.1109/ecai.2018.8678989.

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Houng, Hesmondjeet Oon Chee, S. Parasuraman, and M. K. A. Ahamed Khan. "Energy harvesting from human locomotion." In 2013 Annual IEEE India Conference (INDICON). IEEE, 2013. http://dx.doi.org/10.1109/indcon.2013.6726020.

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Alkhatib, Rami, Marwa Aboumourad, Mohammed O. Diab, Christophe Corbier, and Mohamed El Badaoui. "Human Locomotion in Multiway Analysis." In 2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART). IEEE, 2019. http://dx.doi.org/10.1109/biosmart.2019.8734272.

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Maeda, Shingo, Terukazu Kato, Kouki Takahashi, and Shuji Hashimoto. "Active gel locomotion." In 2013 International Symposium on Micro-NanoMechatronics and Human Science (MHS). IEEE, 2013. http://dx.doi.org/10.1109/mhs.2013.6710468.

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Di Luca, Massimiliano, Hasti Seifi, Simon Egan, and Mar Gonzalez-Franco. "Locomotion Vault: the Extra Mile in Analyzing VR Locomotion Techniques." In CHI '21: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3411764.3445319.

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Zank, Markus, and Andreas Kunz. "Cost based estimation of intended locomotion targets using human locomotion models." In the 20th ACM Symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2671015.2671126.

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da Silva, Marco, Yeuhi Abe, and Jovan Popović. "Interactive simulation of stylized human locomotion." In ACM SIGGRAPH 2008 papers. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1399504.1360681.

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Reports on the topic "Human locomotion"

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Sibert, Linda E., James N. Templeman, Robert C. Page, Jeremy T. Barron, and Justin A. McCune. Initial Assessment of Human Performance Using the Gaiter Interaction Technique to Control Locomotion in Fully Immersive Virtual Environments. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada424639.

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Richmond, Paul, Adam Potter, David Looney, and William Santee. Terrain coefficients for predicting energy costs of walking over snow. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41602.

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Predicting the energy costs of human travel over snow can be of significant value to the military and other agencies planning work efforts when snow is present. The ability to quantify, and predict, those costs can help planners determine if snow will be a factor in the execution of dismounted tasks and operations. To adjust predictive models for the effect of terrain, and more specifically for surface conditions, on energy costs, terrain coefficients (ƞ) have been developed. By applying knowledge gained from prior studies of the effects of terrain and snow, and by leveraging those existing dismounted locomotion models, we seek to outline the steps in developing an improved terrain coefficient (ƞ) for snow to be used in predictive modeling. Using published data, methods, and a well-informed understanding of the physical elements of terrain, e.g., characterization of snow sinkage (z), this study made adjustments to ƞ-values specific to snow. This review of published metabolic cost methods suggest that an improved ƞ-value could be developed for use with the Pandolf equation, where z=depth (h)*(1 - (snow density (ρ0)/1.186)) and ƞ=0.0005z3 + 0.0001z2 + 0.1072z + 1.2604. This paper provides data-driven improvements to models that are used to predict the energy costs of dismounted movements over snow.
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ji, yuqin, hao tian, qiang ye, zhuoyan ye, and zeyu zheng. Effectiveness of exercise intervention on improving fundamental motor skills in children with autism spectrum disorder: A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0013.

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Review question / Objective: This systematic review and meta-analysis aimed to synthesize available randomized controlled trial studies concerning the effects of exercise interventions on fundamental motor skills in children with autism spectrum disorder. Condition being studied: Autism Spectrum Disorder (ASD) is a complicated and highly prevalent neuro-developmental disorder characterized by deficits in social communication, restricted interests, and repetitive behaviors. The CDC reported that the prevalence of ASD was estimated to be 1 in 59 in the United States by 2020. Along with typical symptoms, a couple of studies have indicated that individuals with ASD encounter a variety of challenges, including sleep disturbance, obesity, executive function deficits, physical inactivity, and motor dysfunctions. Fundamental motor skills (FMS) are the unnaturally occurring basic motor learning model of the human body, which are the building blocks for advanced specialized motor skills and for children and adolescents to participate in sports, games, or other context-specific physical activity.FMS falls into three different categories: (a) locomotor skills (e.g., running and hopping), (b) object control skills (e.g., catching and throwing), and balance or stability skills (e.g., balancing and twisting).
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