Relevant bibliographies by topics / Arm – Movements

Academic literature on the topic 'Arm – Movements'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Arm – Movements"

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Sorrento, Gianluca U., and Denise Y. P. Henriques. "Reference Frame Conversions for Repeated Arm Movements." Journal of Neurophysiology 99, no. 6 (June 2008): 2968–84. http://dx.doi.org/10.1152/jn.90225.2008.

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The aim of this study was to further understand how the brain represents spatial information for shaping aiming movements to targets. Both behavioral and neurophysiological studies have shown that the brain represents spatial memory for reaching targets in an eye-fixed frame. To date, these studies have only shown how the brain stores and updates target locations for generating a single arm movement. But once a target's location has been computed relative to the hand to program a pointing movement, is that information reused for subsequent movements to the same location? Or is the remembered target location reconverted from eye to motor coordinates each time a pointing movement is made? To test between these two possibilities, we had subjects point twice to the remembered location of a previously foveated target after shifting their gaze to the opposite side of the target site before each pointing movement. When we compared the direction of pointing errors for the second movement to those of the first, we found that errors for each movement varied as a function of current gaze so that pointing endpoints fell on opposite sides of the remembered target site in the same trial. Our results suggest that when shaping multiple pointing movements to the same location the brain does not use information from the previous arm movement such as an arm-fixed representation of the target but instead mainly uses the updated eye-fixed representation of the target to recalculate its location into the appropriate motor frame.
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Flash, Tamar, and Ealan Henis. "Arm Trajectory Modifications During Reaching Towards Visual Targets." Journal of Cognitive Neuroscience 3, no. 3 (July 1991): 220–30. http://dx.doi.org/10.1162/jocn.1991.3.3.220.

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In this paper we study the question of how an aimed arm movement is modified in response to a sudden change in target location occurring during the reaction or movement time. Earlier monkey and human studies demonstrated that aimed arm movements can be elicited in quick succession, without appreciable delays in responding to the target displacement, beyond the normal reaction time. Nevertheless, it is not yet clear how this motor task is performed. A first guess is that when a new visual stimulus appears the old plan is aborted and a new one conceived. Upon analyzing human arm movements, however, we find that the observations can be well accounted for by a different movement modification scheme. It appears that a new plan is vectorially added to the original plan. Among the implications of this result is the possibility of parallel planning of elemental movements and further support for the idea that arm movements are internally represented in terms of hand motion through external space.
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Fisk, J., J. R. Lackner, and P. DiZio. "Gravitoinertial force level influences arm movement control." Journal of Neurophysiology 69, no. 2 (February 1, 1993): 504–11. http://dx.doi.org/10.1152/jn.1993.69.2.504.

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1. The ability to move the forearm between remembered elbow joint angles immediately after rapid increases or decreases of the background gravitoinertial force (G) level was measured. The movements had been well-practiced in a normal 1G environment before the measurements in high-(1.8G) and low-force (0G) environments. The forearm and upper arm were always unsupported to maximize the influence of altered G-loading and to minimize extraneous cues about arm position. 2. Horizontal and vertical movement planes were studied to measure the effects of varying the G load in the movement plane within a given G background. Rapid and slow movements were studied to assess the role of proprioceptive feedback. 3. G level did not affect the amplitude of rapid movements, indicating that subjects were able to plan and to generate appropriate motor commands for the new G loading of the arm. The amplitude of slow movements was affected by G level, indicating that proprioceptive feedback is influenced by G level. 4. The effects of G level were similar for horizontal and vertical movements, indicating that proprioceptive information from supporting structures, such as the shoulder joint and muscles, had a role in allowing generation of the appropriate motor commands. 5. The incidence and size of dynamic overshoots were greater in 0G and for rapid movements. This G-related change in damping suggests a decrease in muscle spindle activity in 0G. A decrease in muscle spindle activity in 0G and an increase in 1.8G are consistent with the results of our prior studies on the tonic vibration reflex, locomotion, and perception of head movement trajectory in varying force backgrounds.
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Boulton, Hayley, and Suvobrata Mitra. "Body posture modulates imagined arm movements and responds to them." Journal of Neurophysiology 110, no. 11 (December 1, 2013): 2617–26. http://dx.doi.org/10.1152/jn.00488.2013.

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Imagined movements are thought to simulate physical ones, with similar behavioral constraints and neurophysiological activation patterns and with an inhibition mechanism that suppresses movement execution. When upper body movements such as reaching with the arm are made from an upright stance, lower body and trunk muscles are also activated to maintain body posture. It is not clear to what extent parameters of imagined manual movements are sensitive to the postural adjustments their execution would necessitate, nor whether such postural responses are as effectively inhibited as the imagined movements themselves. We asked healthy young participants to imagine reaching movements of the arm while in upright stance, and we measured their self-reported movement times and postural sway during imagined movements. We manipulated mediolateral stance stability and the direction of arm movement (mediolateral or anteroposterior). Imagined arm movements were reportedly slower when subjects were standing in a mediolaterally less stable stance, and the body swayed more when arm movements were imagined in the direction of postural vulnerability. The results suggest that the postural state of the whole body, not just the involved limbs, informs trajectory planning during motor imagery and that measurable adjustments to body posture accompany imagined manual actions. It has been suggested that movement is suppressed during motor imagery by a premotor inhibitory mechanism operating at brain stem or spinal level. Any such inhibition must be incomplete because, for example, it does not eliminate autonomic arousal. Our results suggest that it also does not effectively suppress postural adjustments planned in support of imagined movements.
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Cos, Ignasi, Nicolas Bélanger, and Paul Cisek. "The influence of predicted arm biomechanics on decision making." Journal of Neurophysiology 105, no. 6 (June 2011): 3022–33. http://dx.doi.org/10.1152/jn.00975.2010.

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There is considerable debate on the extent to which biomechanical properties of movements are taken into account before and during voluntary movements. For example, while several models have described reach planning as primarily kinematic, some studies have suggested that implicit knowledge about biomechanics may also exert some influence on the planning of reaching movements. Here, we investigated whether decisions about reaching movements are influenced by biomechanical factors and whether these factors are taken into account before movement onset. To this end, we designed an experimental paradigm in which humans made free choices between two potential reaching movements where the options varied in path distance as well as biomechanical factors related to movement energy and stability. Our results suggest that the biomechanical properties of potential actions strongly influence the selection between them. In particular, in our task, subjects preferred movements whose final trajectory was better aligned with the major axis of the arm's mobility ellipse, even when the launching properties were very similar. This reveals that the nervous system can predict biomechanical properties of potential actions before movement onset and that these predictions, in addition to purely abstract criteria, may influence the decision-making process.
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.V, Ramya, Prasanalakshmi .V, Ranjani M. .P, Revathi .G, and Rajeswari .P. "Upper Arm Exoskeleton Using Robotic Arm for Physiotherapy." International Journal of Emerging Research in Management and Technology 6, no. 8 (June 25, 2018): 190. http://dx.doi.org/10.23956/ijermt.v6i8.137.

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Stroke is a major cause of disability in worldwide and also one of the causes of death after coronary heart disease. Many devices had been designed for hand motor function rehabilitation that a stroke survivor can use for bilateral movement practice. This paper deals with the rehabilitation of upper arm by an Arm exoskeleton. This can be used for physical therapy and to assist the user with routine activities. Ultimately, the user should feel as if they are in control of their arm without too much effort while providing smooth movements depending on the direction that is desired.
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Brooks, V. B., and S. L. Watts. "Adaptive Programing of Arm Movements." Journal of Motor Behavior 20, no. 2 (June 1988): 117–32. http://dx.doi.org/10.1080/00222895.1988.10735437.

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Berret, B., J. P. Gauthier, and C. Papaxanthis. "How humans control arm movements." Proceedings of the Steklov Institute of Mathematics 261, no. 1 (July 2008): 44–58. http://dx.doi.org/10.1134/s0081543808020053.

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Cham, Rakié, and Peter N. Sandrian. "Arm Movements and Slip Severity." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 15 (October 2007): 904–8. http://dx.doi.org/10.1177/154193120705101508.

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Slip-initiated falls often cause occupational injuries and deaths, especially in older workers. Previous slips and falls research has to a large extent focused on lower extremity reactions, yet arm responses are often part of postural reactions to such perturbations. It is unclear if arm responses play a role in balance recovery, are modulated by the severity of the postural perturbation and/or are a reflex-type response, e.g. reaching for external body support. In this study, the relationship between slip severity and shoulder biomechanics was examined. Subjects (17 younger and 12 older adults) were exposed to two conditions: (1) baseline dry (subjects knew the floor was dry), and (2) unexpected slip (a diluted glycerol solution was spread on the floor to slip the leading/left foot). Bilateral sagittal plane kinematics and kinetics were derived. Slip severity was quantified using a measure of slip hazardousness based on the peak slip velocity (PSV) measured at the heel of the slipping foot. Specifically, if PSV ≥ 1 m/s, then the slip was classified as hazardous. Although arm responses were bilateral, only the biomechanics of the shoulder ipsilateral to the slipping foot, specifically moment generation rate, were affected by slip hazardousness. Specifically, a hazardous slip was associated with an extensor moment at the shoulder ipsilateral to the slipping foot, whereas a non-hazardous slip was associated with a flexor moment. Shoulder responses were triggered later than the hip and knee response based on moment onset data. Finally, overall, older adults appeared to generate a greater extensor moment at the shoulder compared to the response seen in the younger group of participants. In conclusion, evidence presented in this study implies that (1) arm responses play a role in balance recovery but also may be protective in nature when experiencing a severe slip, (2) a legs-to-arms response sequence appears to drive the reaction to a slip, and (3) older adults may use their arms as a protective strategy to a greater extent than their younger counterparts.
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Scaliti, Eugenio, Emanuele Gruppioni, and Cristina Becchio. "And Yet It Moves: What We Currently Know about Phantom Arm Movements." Neuroscientist 26, no. 4 (February 28, 2020): 328–42. http://dx.doi.org/10.1177/1073858420904326.

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What is left over if I subtract the fact that my arm goes up from the fact that I raise my arm? Neurological evidence invites the provocative hypothesis that what is left over is a phantom arm movement—a movement of an arm that has been amputated. After arm/hand amputation, many amputees report that they can generate voluntary movements of the phantom limb; that is, they can move the arm that was amputated. But what is it like to move an arm/hand that is not there? Here, we review what is currently known about phantom limb movements at three descriptive levels: the kinematic level, the muscle level, and the cortical level. We conclude that phantom arm movements are best conceptualized as the real movements of a dematerialized hand.
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Dissertations / Theses on the topic "Arm – Movements"

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Nore, Miko, and Caspar Westerberg. "Robotic Arm controlled by Arm Movements." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264509.

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In recent decades human workers in manufacturing and overall industry have largely been replaced with robots and automated machines, but there are still plenty of tasks where human cognition is necessary. This paper presents the development of a wireless robotic arm controlled by a human arm, allowing both for the combination of a robotic arms strength to be combined with a humans cognition, and also for a human to execute dynamic tasks without being present. An application suited for work in toxic or otherwise harmful environments. This was accomplished by using a controller in the form of an exo-skeleton attached to the operators right arm and connected to the robotic arm through a transmitter. The controller measures the movements in each joint using potentiometers and the robotic arm mimics these movements. A glove with a flex sensor on the index finger was then attached to the controller to measure the finger motions. All the information containing the angle of rotations are sent wirelessly to the robotic arm using Arduino Uno and transceiver modules. The robotic arm received the information through another set of Arduino Uno and transceiver module which made each servomotor on the robotic arm to move accordingly. The result showed that the robotic arm could imitate the operator’s arm very well and was able to grab and move dierent objects with dierent weight and surfaces. The wireless control was reliable and could control the robotic arm while being in a dierent room, making it possible to use this robot for harmful environments for humans.
Under senare årtionden har mänskliga arbetare inom tillverkning och industri över lag i stor utsträckning ersatts av robotar och automatiserade maskiner, men det finns fortfarande uppgifter som kräver mänsklig tankeförmåga. Denna rapport presenterar utvecklingen av en trådlös robotarm styrd av en människas arm, vilket möjliggör både att kombinera en maskins styrka med en människas intelligens, samt för en människa att utföra dynamiska uppgifter utan att vara närvarande. En applikation lämplig för arbete i farliga miljöer. Detta uppnåddes med en styrenhet i form av ett exo-skelett fastsatt på operatörens högra arm och kopplad till robotarmen genom en sändare. Styrenheten mäter rörelserna i varje led med potentiometrar och robotarmen härmar dessa rörelser. En handske med en flexsensor på pekfingret fästes sedan på styrenheten för att mäta fingerrörelsen. All information som innehåller vinklar skickas trådlöst till robotarmen med hjälp av Arduino Uno och transceiver moduler. Robotarmen mottog informationen via en annan uppsättning Arduino Uno och transceiver modul som fick varje servomotor på robotarmen att rotera i enlighet. Resultatet visade att robotarmen kunde imitera operatörens arm väl och kunde bära olika föremål med olika vikter och ytor. Den trådlösa styrningen var pålitlig och kunde styra robotarmen från ett annat rum, vilket gör det möjligt att använda denna robot i skadliga miljöer för människor.
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Hatzitaki, Vassilia. "Patterns of interlimb coordination during asymmetrical reaching movements." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29042.

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The present study investigated the patterns of interlimb organization during the concurrent performance of asymmetrical reaching movements. The inherent tendency towards interlimb synchronization often constrains activities requiring the two limbs to move over different distances or at different movement speeds. The study of bimanual coordination has shown that the amount of interlimb interference during bilateral performance of asymmetrical actions, is regulated according to the magnitude characteristics of the variable used to introduce the asymmetry between the limbs. The purpose of the present study was to examine the relationship between the degree of interlimb decoupling and the magnitude of the asymmetry between the limbs. Asymmetry was systematically manipulated by scaling the magnitude of the interlimb difference in final target distance, during bimanual performance of reaching movements. The degree of interlimb decoupling was reflected in the movement time, muscle activity onset and joint torque relationship between the limbs.
Decoupling of the asymmetrical limb movements was effected by an earlier onset of the antagonist muscles in the constrained limb which scaled the amount of muscle torque production and therefore the stiffness of the limb during the acceleration phase of the movement. Thus, the movement amplitude differentiation was achieved by an initial accelarative impulse attributed to the differential control of the muscle torque production at each joint. On the other hand, the interactive forces played a secondary role in the degree of decoupling process. Overall, the degree of decoupling scaled according to the magnitude of the interlimb difference in distance; the greater the asymmetry, the greater the differentiation between the limbs. However, systematic variations of the interlimb asymmetry in distance gave rise to a wide variety of individual decoupling trends. Bimanual practice of the asymmetrical reaching tasks did not result in the development of more independent limb movements. The results of the present study have implications to human factor design and ergonomics.
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Gabriel, David Abraham. "Muscle activation patterns for goal-directed multijoint arm movements." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28748.

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The purpose of this dissertation was to determine if the CNS produces relatively simple alterations in muscle activity to accomplish goal-directed reaching motions of the upper limb under a variety of movement conditions.
To this end, six subjects performed goal-directed arm movements in the horizontal plane. Two movement amplitudes (300 mm and 400 mm) were completed at a moderate speed (1050 mm/s) and as-fast-as possible. The speed and amplitude conditions were repeated for the 45$ sp circ$ and 90$ sp circ$ movement directions. Finally, each of the movement conditions mentioned thus far, were performed within the right and left sections of the work-space. Surface electro-myographic activity was recorded from the pectoralis major, posterior deltoid, biceps brachii short head, brachioradialis, triceps brachii long head, and triceps brachii lateral head. Motion recordings were obtained with a spatial imaging system that monitored the positions of infrared emitting diodes attached to the subject's upper arm and forearm-hand complex.
Several simplification schemes were found to be operative at the level of the electro-myogram. These include: (a) simple timing relationships for agonists between joints and agonist/antagonist intermuscle latencies within each joint; (b) tightly coupled timing between agonists within a single joint; (c) for a particular movement direction, the form and shape of EMG burst activity followed a strategy associated with modulation of pulse height and width; (d) the slope, duration, and onset were further affected by the direction of hand movement which resulted in the greatest RMS-EMG signal amplitude, changing in a predictable manner, and finally (e) there was tuning in which elbow muscles were activated earlier for goal-directed arm movements in the left area of the work-space.
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Lindström, Johan, and Adrian Sonnert. "Authentication system based on hand-arm-movements." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130864.

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This study treats behavioral biometric authentication, and its focus is on creating an application that uses hand-arm-movements to identify users. The systemis modelled to achieve a minimal false rejection rate (FRR) and false acceptance rate (FAR). Experiments featuring several test subjects performing hand-arm-movements using our device were performed in order to gauge the FRR and FAR of our system. The FRR and FAR achieved were 35% and 15.8%, respectively. The study concludes that hand-arm-movements may be useful for authentication, but further research is required.
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Liu, Dan. "Computational and psychophysical studies of goal-directed arm movements." Diss., [La Jolla] : University of California, San Diego, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3331228.

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Thesis (Ph. D.)--University of California, San Diego, 2008.
Title from first page of PDF file (viewed June 1, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 124-131).
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Flanagan, John Randall. "Measurement and modelling of human target-directed reaching movements." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70293.

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These studies examined motion trajectories and electromyographic (EMG) activity patterns during human horizontal reaching movements towards single- and double-step visual targets. These data were used to test and elaborate a model of two-joint planar arm movement based on the equilibrium point (EP) hypothesis or $ lambda$ model of motor control. This work aims to understand how reaching movements are planned and controlled by the nervous system. To this end, simulated trajectories and EMG patterns, generated with hypothetical central commands, were compared to empirical trajectories and EMG patterns. In general, the model was able to predict trajectories but was less successful in predicting EMG patterns. The results indicated that, in general, motions to both single- and double-step targets are generated by shifting the EP of the hand in a straight line towards the present target. Thus, a common control strategy underlying movements to single-step targets and trajectory modifications to double-step targets is proposed. Whereas the direction of shift of the EP is specified at the level of the hand, the rate of shift may be limited at the joint level.
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Won, Justin. "The control of constrained and partially constrained arm movements." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12621.

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Choo, Pei Ling. "The neural correlates of bilateral arm movements in stroke." Thesis, Glasgow Caledonian University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.726796.

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Lametti, Daniel R. "On the control of movement variability through the regulation of limb impedance." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101860.

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Humans routinely make movements to targets that have different accuracy requirements in different directions. Examples extend from everyday occurrences such as grasping the handle of a coffee cup to the more refined instance of a surgeon positioning a scalpel. The attainment of accuracy in situations such as these might rest upon the nervous system's capacity to regulate the limb's resistance to displacement, or impedance. To test this idea, subjects made movements from random starting locations to targets that had shape dependant accuracy requirements. A robotic device was used to assess both limb impedance and patterns of movement variability just as the subject reached the target. Impedance was seen to increase in directions where required accuracy was high. Furthermore, independent of target shape patterns of limb stiffness were seen to predict spatial patterns of movement variability. The nervous system was thus seen to modulate limb impedance in wholly predictable environments to shape movement variability and achieve reaching accuracy.
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Doeringer, Joseph A. (Joseph Alfred). "An investigation into the discrete nature of human arm movements." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9395.

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Books on the topic "Arm – Movements"

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Turton, Ailie. Recovery of coordination of arm and hand movements following a stroke. London: PEL, 1991.

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Zmysłowski, Wojciech. Wybrane problemy syntezy sterowań w układzie ruchowym: Algorytmy transformacji programów ruchowych w sygnały sterujące. Warszawa: Polska Akademia Nauk, Instytut Biocybernetyki i Inżynierii Biomedycznej, 1987.

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Caminiti, Roberto, Paul B. Johnson, and Yves Burnod, eds. Control of Arm Movement in Space. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77235-1.

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Killjoy, Margaret. We are many: Reflections on movement strategy from occupation to liberation. Oakland, CA: AK Press, 2012.

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Gunderson, Jessica Sarah. Romanticism: Movements in art. Mankato, MN: Creative Education, 2015.

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Movements in painting. [Edinburgh]: Chambers, 2005.

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Lambourne, Lionel. The Aesthetic Movement. London: Phaidon, 1996.

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Eldridge, Philip J. NGOs in Indonesia: Popular movement or arm of government? Clayton, Vic., Australia: Centre of Southeastern Asian Studies, Monash University, 1989.

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Edward, Lucie-Smith. Movements in art since 1945. London: Thames & Hudson, 2001.

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You are G8, we are 6 billion: The truth behind the Genoa protests. London: Vision Paperbacks, 2002.

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Book chapters on the topic "Arm – Movements"

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Ling, Feng, and Eva Kanso. "Octopus-Inspired Arm Movements." In Bioinspired Sensing, Actuation, and Control in Underwater Soft Robotic Systems, 213–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50476-2_11.

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Nijhof, Evert-Jan, and Erik Kouwenhoven. "Simulation of Multijoint Arm Movements." In Biomechanics and Neural Control of Posture and Movement, 363–72. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-2104-3_29.

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Cumbers, David. "Robot arm and wrist movements." In Robot Technology Workbook, 2–3. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-12688-0_2.

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Bullock, D., and S. Grossberg. "Self-Organizing Neural Architectures for Eye Movements, Arm Movements, and Eye-Arm Coordination." In Neural and Synergetic Computers, 197–228. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-74119-7_14.

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Zipser, David. "Distributed Control of Complex Arm Movements." In Biomimetic and Biohybrid Systems, 309–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31525-1_27.

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Fritzsche, Florian, and Heiner Bubb. "Prediction of Discomfort During Arm Movements." In Digital Human Modeling, 66–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73321-8_8.

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Hollerbach, J. M., and C. G. Atkeson. "Characterization of Joint - Interpolated Arm Movements." In Generation and Modulation of Action Patterns, 41–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71476-4_4.

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Stuphorn, V., E. Bauswein, and K. P. Hoffmann. "Cortico-Collicular Control of Arm Movements." In Neural Bases of Motor Behaviour, 185–204. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-017-2403-6_9.

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Brooks, V. B. "Adaptations and Learning of Arm Movements." In From Neuron to Action, 3–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-662-02601-4_1.

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Shadmehr, Reza, and Kurt Thoroughman. "Learning and Memory Formation of Arm Movements." In Biomechanics and Neural Control of Posture and Movement, 347–53. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-2104-3_27.

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Conference papers on the topic "Arm – Movements"

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Baechle, Daniel M., Eric D. Wetzel, and Sunil K. Agrawal. "Design and Fabrication of an Arm Exoskeleton for Aim Stabilization." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13371.

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Accurately aiming and firing a pistol requires a steady hand. While many devices can steady a shooter’s arm or hand by restricting movement or degrees-of-freedom, few devices actively reduce involuntary tremors while allowing larger voluntary aiming movements. This paper details the design and fabrication of an arm exoskeleton that can actively damp arm tremors while allowing voluntary aiming movements. The device allows five degrees-of-freedom and is very lightweight due to its cable-driven architecture and use of carbon fiber composite materials. Tremorous movement is filtered out from voluntary motion, and an adaptive algorithm provides a tremor-cancelling signal to the cable control motors.
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Fritzsche, Florian, and Heiner Bubb. "Discomfort Model for Arm Movements." In Digital Human Modeling for Design and Engineering Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2008. http://dx.doi.org/10.4271/2008-01-1872.

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Shaikh, Abdullah, Gandhar Khaladkar, Rhutuja Jage, and Tripti Pathak. "Robotic Arm Movements Wirelessly Synchronized with Human Arm Movements Using Real Time Image Processing." In 2013 Texas Instruments India Educators' Conference (TIIEC). IEEE, 2013. http://dx.doi.org/10.1109/tiiec.2013.56.

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Storti, S. F., E. Formaggio, P. Manganotti, and G. Menegaz. "Cortical network modulation during paced arm movements." In 2015 23rd European Signal Processing Conference (EUSIPCO). IEEE, 2015. http://dx.doi.org/10.1109/eusipco.2015.7362854.

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Choi, Hoseok, Dong Pyo Jang, and Kyoung-Min Lee. "Bimanual Arm Movements Decoding using Hybrid Method." In 2017 5th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2017. http://dx.doi.org/10.1109/iww-bci.2017.7858159.

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Katsiaris, P. T., P. K. Artemiadis, and K. J. Kyriakopoulos. "Modeling anthropomorphism in dynamic human arm movements." In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iros.2010.5651834.

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Nijsen, Tamara M. E., Ronald M. Aarts, Johan B. A. M. Arends, and Pierre J. M. Cluitmans. "Model for arm movements during myoclonic seizures." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352607.

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Chin, Cesar Marquez, Milos R. Popovic, Tracy Cameron, Andres Lozano, and Robert Chen. "Identification of Arm Movements Using Electrocorticographic Signals." In 2007 3rd International IEEE/EMBS Conference on Neural Engineering. IEEE, 2007. http://dx.doi.org/10.1109/cne.2007.369645.

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Nguyen, Alexander, and Biyun Xie. "Human Arm Motion Prediction in Reaching Movements*." In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). IEEE, 2021. http://dx.doi.org/10.1109/ro-man50785.2021.9515461.

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Ito, K., and Xin-Zhi Zheng. "Task-oriented impedance adjustments of human arm movements." In 1999 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. IEEE, 1999. http://dx.doi.org/10.1109/aim.1999.803302.

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Reports on the topic "Arm – Movements"

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Grossberg, Stephen. Neural Network Models of Vector Coding, Learning, and Trajectory Formation During Planned and Reactive Arm and Eye Movements. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada206737.

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Ashenfelter, Orley, and Kathryn Graddy. Sale Rates and Price Movements in Art Auctions. Cambridge, MA: National Bureau of Economic Research, January 2011. http://dx.doi.org/10.3386/w16743.

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Ben Eisenkop, Ben Eisenkop. What are the patterns and effects of American crow movements? Experiment, January 2014. http://dx.doi.org/10.18258/1850.

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Musall, Simon, Matthew T. Kaufman, Ashley L. Juavinett, Steven Gluf, and Anne K. Churchland. Single-trial neural dynamics are dominated by richly varied movements: dataset. Cold Spring Harbor Laboratory, October 2019. http://dx.doi.org/10.14224/1.38599.

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Bruce, Judith, and Debbie Rogow. Alone you are nobody, together we float: The Manuela Ramos Movement. Population Council, 2000. http://dx.doi.org/10.31899/pgy1.1001.

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DeFilippis, Joseph. A Queer Liberation Movement? A Qualitative Content Analysis of Queer Liberation Organizations, Investigating Whether They are Building a Separate Social Movement. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2464.

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Heymsfield, Ernie, and Jeb Tingle. State of the practice in pavement structural design/analysis codes relevant to airfield pavement design. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40542.

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Abstract:
An airfield pavement structure is designed to support aircraft live loads for a specified pavement design life. Computer codes are available to assist the engineer in designing an airfield pavement structure. Pavement structural design is generally a function of five criteria: the pavement structural configuration, materials, the applied loading, ambient conditions, and how pavement failure is defined. The two typical types of pavement structures, rigid and flexible, provide load support in fundamentally different ways and develop different stress distributions at the pavement – base interface. Airfield pavement structural design is unique due to the large concentrated dynamic loads that a pavement structure endures to support aircraft movements. Aircraft live loads that accompany aircraft movements are characterized in terms of the load magnitude, load area (tire-pavement contact surface), aircraft speed, movement frequency, landing gear configuration, and wheel coverage. The typical methods used for pavement structural design can be categorized into three approaches: empirical methods, analytical (closed-form) solutions, and numerical (finite element analysis) approaches. This article examines computational approaches used for airfield pavement structural design to summarize the state-of-the-practice and to identify opportunities for future advancements. United States and non-U.S. airfield pavement structural codes are reviewed in this article considering their computational methodology and intrinsic qualities.
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Coffey, Lenore. How women are made: a look at the issues of the women's liberation movement. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1449.

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Cantoni, Davide, David Yang, Noam Yuchtman, and Y. Jane Zhang. Are Protests Games of Strategic Complements or Substitutes? Experimental Evidence from Hong Kong's Democracy Movement. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23110.

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Moon, Il-Chul, Kathleen M. Carley, Mike Schneider, and Oleg Shigiltchoff. Detailed Analysis of Team Movement and Communication Affecting Team Performance in the America's Army Game. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada456149.

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