Relevant bibliographies by topics / Human body movement

Contents

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

Academic literature on the topic 'Human body movement'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Human body movement"

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Challis, John H. "Body Size and Movement." Kinesiology Review 7, no. 1 (February 1, 2018): 88–93. http://dx.doi.org/10.1123/kr.2017-0061.

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Humans of different sizes move in very similar ways despite the size difference. The principles of geometric scaling provide insight into the reasons for the similar movement patterns observed. In human locomotion, body size influences endurance running performance, with shorter body sizes being an advantage due to better heat exchange compared with their taller counterparts. Scaling can also show the equivalence of child gait with that of adults in terms of stride length and walking velocity. In humans, maximum jump height is independent of standing height, a scaling result which has been validated by examining jumps with mass added to the body. Finally, strength scales in proportion to body mass to the two-thirds power, which explains why shorter people have greater relative body strength compared with taller individuals. Geometric scaling reveals the underlying principles of many human movement forms.
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Yokota, Sho, Hiroshi Hashimoto, Yasuhiro Ohyama, and Jinhua She. "Electric Wheelchair Controlled by Human Body Motion -Classification of Body Motion and Improvement of Control Method-." Journal of Robotics and Mechatronics 22, no. 4 (August 20, 2010): 439–46. http://dx.doi.org/10.20965/jrm.2010.p0439.

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This paper classifies human body movements when an electric wheelchair was controlled using a Human Body Motion Interface (HBMI) by a Self-Organizing Map (SOM) and proposes control based on classification results. The Human Body Motion Interface (HBMI) uses body movement following voluntary motion. This study focuses on electric wheelchair control as an application of the HBMI. The viability of the HBMI was confirmed using Center Of Weight (C.O.W.) from pressure distribution information on backrest in the wheelchair to control it. If body movement concentrated on a single point at C.O.W. in pressure distribution, a problem occurred because the system would recognize even different body-movement patterns as the same movement. We call body movement taking the same C.O.W. even if it has a different body-movement pattern movement confusion. We solve the movement confusion problem and enhance wheelchair control, classifying body movement using the SOM and reflecting this classification result to improve wheelchair control. Experimental results showed that movement confusion is solved and wheelchair control improved.
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Kourtzi, Zoe, and Maggie Shiffrar. "Dynamic Representations of Human Body Movement." Perception 28, no. 1 (January 1999): 49–62. http://dx.doi.org/10.1068/p2870.

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Pirhonen, Antti, Kai Tuuri, and Cumhur Erkut. "Human-Technology Choreographies: Body, Movement, and Space." Human Technology 12, no. 1 (May 31, 2016): 1–4. http://dx.doi.org/10.17011/ht/urn.201605192617.

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Rammal, Julie. "The Pandemic of the E-Human Movement." Journal of SARS-CoV-2 Research 1 (March 2, 2021): 2. http://dx.doi.org/10.36013/sarc-cov-2.v1i.54.

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The movement's evolution and change have strikingly shut down gyms, health clubs, fitness classes, live, personal training jobs, and more during the pandemic. The massive shift has opened up live streaming and online classes; however, we may be soon facing a new body and mind pandemic if we are not aware of the side effects. The longer we are away from socializing and being trained with technique and form, the human body will later experience a separation between body, mind, and soul with dormant emotions and feelings. . In fact, the mind and memory may start to decrease, and focus and discipline will fade. Through the Holistic methodology, we can re-ignite the human being and preserve the humans to continue moving, healing, breathing in a language that the body understands.
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Caldwell, Graham E. "Human Body Dynamics: Classical Mechanics and Human Movement. Aydin Tozeren." Quarterly Review of Biology 76, no. 1 (March 2001): 120–21. http://dx.doi.org/10.1086/393855.

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Yu, Shin-Yuan, and Bernard J. Martin. "Movement Control Phases of Upper Body Coordination in Visually Guided Reach Movements." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 12 (October 2009): 834–38. http://dx.doi.org/10.1177/154193120905301215.

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Coordination of human movement includes temporal and spatial aspects. Under the assumption that the implicit movement sequence of body segments may be associated with visual feedback information, the activation timing, time to peak velocity of the hand and sequencing of joint movements were investigated in this study. The results show that variations in movement time with target azimuth and distance fit a quadratic regression model. In addition, the time to peak velocity reveals a movement scaling property in the context of self-imposed movement speed. Finally, the sequencing of joint movement also varies with target azimuth and distance. These motor behavior properties and movement characteristics can be used to model human reach movement in a dynamic manner and to estimate task durations.
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Ogawa, Kenji, and Toshio Inui. "Reference Frame of Human Medial Intraparietal Cortex in Visually Guided Movements." Journal of Cognitive Neuroscience 24, no. 1 (January 2012): 171–82. http://dx.doi.org/10.1162/jocn_a_00132.

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Visually guided reaching involves the transformation of a spatial position of a target into a body-centered reference frame. Although involvement of the posterior parietal cortex (PPC) has been proposed in this visuomotor transformation, it is unclear whether human PPC uses visual or body-centered coordinates in visually guided movements. We used a delayed visually guided reaching task, together with an fMRI multivoxel pattern analysis, to reveal the reference frame used in the human PPC. In experiments, a target was first presented either to the left or to the right of a fixation point. After a delay period, subjects moved a cursor to the position where the target had previously been displayed using either a normal or a left–right reversed mouse. The activation patterns of normal sessions were first used to train the classifier to predict movement directions. The activity patterns of the reversed sessions were then used as inputs to the decoder to test whether predicted directions correspond to actual movement directions in either visual or body-centered coordinates. When the target was presented before actual movement, the predicted direction in the medial intraparietal cortex was congruent with the actual movement in the body-centered coordinates, although the averaged signal intensities were not significantly different between two movement directions. Our results indicate that the human medial intraparietal cortex uses body-centered coordinates to encode target position or movement directions, which are crucial for visually guided movements.
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Sakata, Mamiko, Mariko Shiba, Kiyoshi Maiya, and Makoto Tadenuma. "Human Body as the Medium in Dance Movement." International Journal of Human-Computer Interaction 17, no. 3 (September 2004): 427–44. http://dx.doi.org/10.1207/s15327590ijhc1703_7.

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Chang, Zheng, Xiaojuan Ban, Qing Shen, and Jing Guo. "Research on Three-dimensional Motion History Image Model and Extreme Learning Machine for Human Body Movement Trajectory Recognition." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/528190.

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Based on the traditional machine vision recognition technology and traditional artificial neural networks about body movement trajectory, this paper finds out the shortcomings of the traditional recognition technology. By combining the invariant moments of the three-dimensional motion history image (computed as the eigenvector of body movements) and the extreme learning machine (constructed as the classification artificial neural network of body movements), the paper applies the method to the machine vision of the body movement trajectory. In detail, the paper gives a detailed introduction about the algorithm and realization scheme of the body movement trajectory recognition based on the three-dimensional motion history image and the extreme learning machine. Finally, by comparing with the results of the recognition experiments, it attempts to verify that the method of body movement trajectory recognition technology based on the three-dimensional motion history image and extreme learning machine has a more accurate recognition rate and better robustness.
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Dissertations / Theses on the topic "Human body movement"

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Molloy, A. J. "Force sensing for measuring human body movement." Thesis, Aston University, 2006. http://publications.aston.ac.uk/15354/.

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The research developed in this thesis explores the sensing and inference of human movement in a dynamic way, as opposed to conventional measurement systems, that are only concerned with discrete evaluations of stimuli in sequential time. Typically, conventional approaches are used to infer the dynamic movement of the body; such as vision and motion tracking devices, with either a human diagnosis or complex image processing algorithm to classify the movement. This research is therefore the first of its kind to attempt and provide a movement classifying algorithm through the use of minimal sensing points, with the application for this novel system, to classify human movement during a golf swing. There are two main categories of force sensing. Firstly, array-type systems consisting of many sensing elements, and are the most commonly researched and commercially available. Secondly, reduced force sensing element systems (RFSES) also known as distributive systems have only been recently exploited in the academic world. The fundamental difference between these systems is that array systems handle the data captured from each sensor as unique outputs and suffer the effects of resolution. The effect of resolution, is the error in the load position measurement between sensing elements, as the output is quantized in terms of position. This can be compared to a reduced sensor element system that maximises that data received through the coupling of data from a distribution of sensing points to describe the output in discrete time. Also this can be extended to a coupling of transients in the time domain to describe an activity or dynamic movement. It is the RFSES that is to be examined and exploited in the commercial sector due to its advantages over array-based approaches such as reduced design, computational complexity and cost.
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Henriks, Olof. "Mapping physical movement parameters to auditory parameters by using human body movement." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200831.

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This study focuses on evaluating a system containing five different mappings of physical movement parameters to auditory parameters. Physical parameter variables such as size, location, among others, were obtained by using a motion tracking system, where the two hands of the user would work as rigid bodies. Translating these variables to auditory parameter variables gave the ability to control different parameters of MIDI files. The aim of the study was to determine how well a total of five participants, all with prior musical knowledge and experience, could adapt to the system concerning both user generated data as well as overall user experience. The study showed that the participants developed a positive personal engagement with the system and this way of audio and music alteration. Exploring the initial mappings of the system established ideas for future development of the system in potential forthcoming work.
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Furtado, De Mendonca Monco Eduardo. "From head to toe : body movement for human-computer interaction." Thesis, Lancaster University, 2015. http://eprints.lancs.ac.uk/76717/.

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Our bodies are the medium through which we experience the world around us, so human-computer interaction can highly benefit from the richness of body movements and postures as an input modality. In recent years, the widespread availability of inertial measurement units and depth sensors led to the development of a plethora of applications for the body in human-computer interaction. However, the main focus of these works has been on using the upper body for explicit input. This thesis investigates the research space of full-body human-computer interaction through three propositions. The first proposition is that there is more to be inferred by natural users’ movements and postures, such as the quality of activities and psychological states. We develop this proposition in two domains. First, we explore how to support users in performing weight lifting activities. We propose a system that classifies different ways of performing the same activity; an object-oriented model-based framework for formally specifying activities; and a system that automatically extracts an activity model by demonstration. Second, we explore how to automatically capture nonverbal cues for affective computing. We developed a system that annotates motion and gaze data according to the Body Action and Posture coding system. We show that quality analysis can add another layer of information to activity recognition, and that systems that support the communication of quality information should strive to support how we implicitly communicate movement through nonverbal communication. Further, we argue that working at a higher level of abstraction, affect recognition systems can more directly translate findings from other areas into their algorithms, but also contribute new knowledge to these fields. The second proposition is that the lower limbs can provide an effective means of interacting with computers beyond assistive technology To address the problem of the dispersed literature on the topic, we conducted a comprehensive survey on the lower body in HCI, under the lenses of users, systems and interactions. To address the lack of a fundamental understanding of foot-based interactions, we conducted a series of studies that quantitatively characterises several aspects of foot-based interaction, including Fitts’s Law performance models, the effects of movement direction, foot dominance and visual feedback, and the overhead incurred by using the feet together with the hand. To enable all these studies, we developed a foot tracker based on a Kinect mounted under the desk. We show that the lower body can be used as a valuable complementary modality for computing input. Our third proposition is that by treating body movements as multiple modalities, rather than a single one, we can enable novel user experiences. We develop this proposition in the domain of 3D user interfaces, as it requires input with multiple degrees of freedom and offers a rich set of complex tasks. We propose an approach for tracking the whole body up close, by splitting the sensing of different body parts across multiple sensors. Our setup allows tracking gaze, head, mid-air gestures, multi-touch gestures, and foot movements. We investigate specific applications for multimodal combinations in the domain of 3DUI, specifically how gaze and mid-air gestures can be combined to improve selection and manipulation tasks; how the feet can support the canonical 3DUI tasks; and how a multimodal sensing platform can inspire new 3D game mechanics. We show that the combination of multiple modalities can lead to enhanced task performance, that offloading certain tasks to alternative modalities not only frees the hands, but also allows simultaneous control of multiple degrees of freedom, and that by sensing different modalities separately, we achieve a more detailed and precise full body tracking.
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Mollica, Antonina M. "Development of a media strategy to promote the size acceptance movement." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1996. http://www.kutztown.edu/library/services/remote_access.asp.

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Thesis (M.S.)--Kutztown University of Pennsylvania, 1996.
Source: Masters Abstracts International, Volume: 45-06, page: 2891. Typescript. Abstract precedes second title page as preliminary pages 2-3. Includes bibliographical references (leaves 28-31).
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Attias, Julia. "The effect of axial body loading – via the "SkinSuit" – on human movement." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/the-effect-of-axial-body-loading--via-the-skinsuit--on-human-movement(ce6a19de-2e30-42d3-a534-54be59b2317f).html.

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Bodyweight (BW) loading has been shown to increase metabolic cost and neuromuscular activity during locomotion. The Mk VI ‘SkinSuit’ – initially developed as a spaceflight countermeasure – provides axial body loading (ABL) intended to be equivalent to 20% ‘BW’ via vertical elastic-material in a manner analogous to Earth’s gravity (1Gz). Thus, the aims of this thesis were to determine the influence of additional 0.2Gz ABL on physiological and biomechanical responses during exercise in ≤1Gz. Two main protocol paradigms were adopted, which evaluated the effect of additional 0.2Gz ABL during: 1) incremental exercise to voluntary exhaustion in normal gravity (thus ~1.2Gz) vs. without ABL (1Gz) and 2) simulated 0.8Gz and 0.16Gz vs. a matched equivalent during submaximal exercise. Cardiorespiratory variables and maximal aerobic capacity (V̇ O2Max) were unchanged between 1.2Gz vs. 1Gz during cycling and running, though time to exhaustion was reduced with both (by 13% and 10%, respectively; p < 0.05). A steeper breathing rate (BR)/minute ventilation (V̇ E) slope evidenced during running at 1.2Gz (p=0.044), indicative of a more rapid, shallow breathing pattern, may have contributed to this. Performing both exercises in 1.2Gz did not induce differences in electromyographic (EMG) root mean square (RMS) amplitude or median frequency (MDF) in any lower-limb muscle, though lengthened Gastrocnemius Lateralis (GL; cycling) and Soleus (SOL; running) duration (p<0.05). Both the removal (BW suspension) and addition (ABL) of 0.2Gz to 1Gz elicited reductions in ventilatory variables vs. 1Gz during submaximal running (p < 0.01) whereas EMG RMS amplitude was unchanged. Although EMG RMS amplitude was reduced in all muscles in 0.16Gz compared to 1Gz, these were not reinstated to levels equivalent to those elicited during a matched trial (MATCHED) when running with 0.2Gz ABL (016SS). GM duration was significantly greater during 016SS vs. 0.16Gz and equivalent to MATCHED. Provision of 0.2Gz ABL in addition to ≤1Gz does not induce cardiorespiratory responses or muscle activity levels equivalent to 20% BW loading, presumably due to the absence of centre of mass displacement. However, the significant effect of additional ABL on muscle activity patterns during both cycling and running in ≤1Gz, particularly in the plantarflexors, suggests strategic modulation of locomotor control governed by the central nervous system. Unloading of 0.2Gz during high or low portions of the gravity spectrum was not potent enough to reduce the activation requirement of lower-limb muscles, making “reloading” opportunities inconceivable; thus, the optimal dose of ABL is yet to be determined.
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Schiessl, Simon Karl Josef 1972. "Acoustic chase : designing an interactive audio environment to stimulate human body movement." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/26919.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004.
Includes bibliographical references (p. 58-60).
An immersive audio environment was created that explores how humans react to commands imposed by a machine generating its acoustic stimuli on the basis of tracked body movement. In this environment, different states of human and machine action are understood as a balance of power that moves back and forth between the apparatus and the human being. This system is based on spatial sounds that are designed to stimulate body movements. The physical set-up consists of headphones with attached sensors to pick up the movements of the head. Mathematic models calculate the behavior of the sound, its virtual motion path relative to the person, and how it changes over time.
by Simon Karl Josef Schiessl.
S.M.
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Hrynczenko, Iwona. "A periodic table of movements : two reference frameworks for quantifiable emotion, a practice based investigation of human expressive movement and gesture." Thesis, University of Dundee, 2014. https://discovery.dundee.ac.uk/en/studentTheses/74fa96d6-d344-40dc-a721-94399ae71468.

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The development of sensor-based technologies has opened up avenues for a dialogue between the body and digital spaces, uncovering new possibilities for cross-disciplinary projects and engagements that demand new methods compatible with the ethos of embodied practices, which, in turn, require new approaches and tools. This research seeks to address this need by examining the quantifiability and visual properties of embodied emotion through a multi-layered study of human movement and gesture. It is an elaboration of scientific and artistic research methods, intended to answer the following principal question and related sub-questions: How can emotions, expressed via whole-body movement be visually documented and archived as a reference framework to stimulate the use and studies of expressive gesture in digital environments? As a consequence the following sub-questions become relevant for this research: The first, ontological in its nature; what is expressed emotion? And the second, methodological; how can bodily expressed emotions be visualised and quantified? To answer these questions, the research is divided into three parts. Drawing on phenomenological interpretative inquiry and heuristic methodology, whole-body emotive expressions are documented and analysed from multiple perspectives: body, expressiveness, time, space volume and their correlations. The first part contains information related to video data collection and the database design. The second part describes silhouette extractions of whole body emotive expressions and an online survey where the visual perception of visual data is measured. The third part of the research contains visual and quantitative data analysis providing the basis for visualisation of the four archetypal emotions: anger, fear, joy and sadness and their relationships. In this process, a multi-method approach was adopted combining both qualitative and quantitative methods adopted from sociology and cognitive science. The contextual review, where virtual embodiment and interactivity are explored build on the aesthetics of performance within new technology, highlighting the adaptability of the methods used in performance art to the field of game design. The results of this research and contribution to knowledge reside within both the ontological and methodological approaches used within this study. The ontological resides within the development of two reference frameworks: a correlation table defined as the Periodic Table of Movements (PTM) and a PTM database. The PTM database is a synthesis of embodied emotion data derived from multiple visual representations such as colour, shape, space, volume, time and intensity, whereas the relationship between expressions is visualised in the PTM correlation table. Within the context of an educational framework, the database also provides visual concepts of emotion as epistemic objects for analysis and experimentation. It is a starting point for future cross-disciplinary studies and research on emotions in the context of embodiment and digital technology. The novel methodology of this research contributes to a number of fields with new methods and models of enquiry, grounded within a hermeneutical interpretation driven by artistic development. This exploration opens up a holistic approach to future studies and research grounded in a multimodal attitude to knowledge acquisition.
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ROLL, FELIX. "3 : 6 SEC OF MOVEMENT." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18105.

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How does one approach the human body when designing and use it as a tool for investigating to develop shape-expression in dress? For this research, the movement of the human body has been chosen as the base element to generate shapes from movement, to enable a form of visible objects. This has been accomplished by carefully studying the original movement of a human body through film. Looking att balance, direction and general shape. The new human body, which has been generated from this research, provides the viewer or creator a different perspective of the body in relation to the static body, which is regularly used in fashion design from the beginning of the design process. This research has been conducted to propose the importance of the human body as an active element in the beginning of the design process and to be viewed as a new platform of innovative design and artistic development in dress. In addition, to develop a contemporary understanding of the body’s role when designing and developing fashion design. By using the human body in motion for shape and form, in contrast to the regular static dummy/body or flat sketching, the collection challenges the standard methods of designing and applying techniques.
Program: Modedesignutbildningen
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Smith, Jason Alan. "Naturalistic skeletal gesture movement and rendered gesture decoding." Diss., Online access via UMI:, 2006.

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Williams, Tamara Lynn. "Dance/movement therapy and architecture : an investigation of modern dance as an informative discipline and theories of the body in architectural design." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/21612.

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Books on the topic "Human body movement"

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Human body dynamics: Classical mechanics and human movement. New York: Springer, 2000.

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Body poems & movement poems. Sea Girt, N.J: Dingles & Company, 2008.

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John, Foster. Body poems & movement poems. Sea Girt, N.J: Dingles & Company, 2008.

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Corporeality and culture: Bodies in movement. Farnham, Surrey, England: Ashgate, 2015.

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Rosamund, Shreeves, ed. Moves: A sourcebook of ideas for body awareness and creative movement. Amsterdam, The Netherlands: Harwood Academic Publishers, 1998.

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LMT, Myers Thomas W., ed. The concise book of the moving body. Chichester, England: Lotus Pub., 2005.

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Murphy, Michael, 1930 Sept. 3-, ed. The life we are given: A long-term program for realizing the potential of body, mind, heart, and soul. New York: Putnam, 1995.

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Leonard, George Burr. The life we are given: A long-term program for realizing the potential of body, mind, heart, and soul. New York: Jeremy P. Tarcher/Penguin, 2005.

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Barba, Eugenio. Anatomie de l'acteur: Un dictionnaire d'anthropologie théatrale. Cazilhac, France: Bouffonneries contrastes, 1985.

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Lorelle, Yves. Le corps, les rites et la scène: Des origines au XXe siècle : essai. Paris: Amandier, 2003.

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Book chapters on the topic "Human body movement"

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Xiao, Yang, Hui Liang, Junsong Yuan, and Daniel Thalmann. "Body Movement Analysis and Recognition." In Human–Computer Interaction Series, 31–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19947-4_2.

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Sakata, Mamiko, and Kozaburo Hachimura. "KANSEI Information Processing of Human Body Movement." In Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design, 930–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73345-4_105.

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Van Den Berg, J. H. "The Human Body and the Significance of Human Movement." In Phaenomenologica, 55–77. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3589-1_4.

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Crawford-Brown, Douglas J. "The Movement of Pollutants into the Body." In Theoretical and Mathematical Foundations of Human Health Risk Analysis, 53–88. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6143-9_3.

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Sakata, Mamiko, Sayaka Wakamiya, Naoki Odaka, and Kozaburo Hachimura. "Effect of Body Movement on Music Expressivity in Jazz Performances." In Human-Computer Interaction. New Trends, 159–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02574-7_18.

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Voigt-Antons, Jan-Niklas, Petr Devaikin, and Tanja Kojić. "Automatic Recognition of Experienced Emotional State from Body Movement." In Human-Computer Interaction. Theory, Methods and Tools, 633–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78462-1_49.

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Hájková, Jana, and Josef Kohout. "Human Body Model Movement Support: Automatic Muscle Control Curves Computation." In Lecture Notes in Computer Science, 196–211. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07148-0_18.

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Kinemuchi, Kenta, Hiroyuki Kobayashi, and Tomohito Yamamoto. "Synchronization Between Utterance Rhythm and Body Movement in a Two-Person Greeting." In Human-Computer Interaction: Interaction Technologies, 305–16. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20916-6_29.

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Aravind, Alex, and Viswanathan Manickam. "A Wireless Sensors Based Feedback System for Human Body Movement Practices." In Lecture Notes in Computer Science, 226–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27872-3_33.

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Dorynek, Martin, Hongtao Zhang, Norman Hofmann, and Klaus Bengler. "New Approaches to Movement Evaluation Using Accurate Truck Ingress Data." In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body, Motion and Behavior, 110–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77817-0_10.

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Conference papers on the topic "Human body movement"

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Houri, Naoyuki, Hiroyuki Arita, and Yutaka Sakaguchi. "Audiolizing body movement." In the 2nd Augmented Human International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1959826.1959839.

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Zhang, Zhi-Qiang, Julien Pansiot, Benny Lo, and Guang-Zhong Yang. "Human Back Movement Analysis Using BSN." In 2011 International Conference on Body Sensor Networks (BSN). IEEE, 2011. http://dx.doi.org/10.1109/bsn.2011.15.

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Pedro, Leonardo Marquez, and Glauco Augusto de Paula Caurin. "Kinect evaluation for human body movement analysis." In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2012). IEEE, 2012. http://dx.doi.org/10.1109/biorob.2012.6290751.

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Hertzmann, Aaron, Carol O'Sullivan, and Ken Perlin. "Realistic human body movement for emotional expressiveness." In ACM SIGGRAPH 2009 Courses. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1667239.1667259.

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Mugarra Gonzalez, C. F., Jacek J. Dusza, Pawel Grabowski, Marc Lerma Caballero, and Vicente Carrilero López. "Stereovision for dynamic analysis of human body movement." In SPIE Proceedings, edited by Ryszard S. Romaniuk. SPIE, 2006. http://dx.doi.org/10.1117/12.674894.

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Bertolotti, G. M., A. Cristiani, R. Gandolfi, and R. Lombardi. "A Portable System for Measuring Human Body Movement." In 9th EUROMICRO Conference on Digital System Design (DSD'06). IEEE, 2006. http://dx.doi.org/10.1109/dsd.2006.13.

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Seo, Kyoungwon, and Hokyoung Ryu. "Nothing is More Revealing than Body Movement." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205851.3205857.

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Miyawaki, Kazuto, Masahiko Yaegashi, Takehiro Iwami, and Goro Obinata. "Effect of Kendo strike movement within the body." In 2012 International Symposium on Micro-NanoMechatronics and Human Science (MHS). IEEE, 2012. http://dx.doi.org/10.1109/mhs.2012.6492431.

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Guo, Wenjiang, Wei Ni, I.-Ming Chen, Zhong Qiang Ding, and Song Huat Yeo. "Intuitive vibro-tactile feedback for human body movement guidance." In 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.5420612.

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Swaisaenyakron, S., P. R. Young, and J. C. Batchelor. "Animated human walking movement for body worn antenna study." In Propagation Conference (LAPC). IEEE, 2011. http://dx.doi.org/10.1109/lapc.2011.6113966.

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Reports on the topic "Human body movement"

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Raychev, Nikolay. Can human thoughts be encoded, decoded and manipulated to achieve symbiosis of the brain and the machine. Web of Open Science, October 2020. http://dx.doi.org/10.37686/nsrl.v1i2.76.

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Abstract:
This article discusses the current state of neurointerface technologies, not limited to deep electrode approaches. There are new heuristic ideas for creating a fast and broadband channel from the brain to artificial intelligence. One of the ideas is not to decipher the natural codes of nerve cells, but to create conditions for the development of a new language for communication between the human brain and artificial intelligence tools. Theoretically, this is possible if the brain "feels" that by changing the activity of nerve cells that communicate with the computer, it is possible to "achieve" the necessary actions for the body in the external environment, for example, to take a cup of coffee or turn on your favorite music. At the same time, an artificial neural network that analyzes the flow of nerve impulses must also be directed at the brain, trying to guess the body's needs at the moment with a minimum number of movements. The most important obstacle to further progress is the problem of biocompatibility, which has not yet been resolved. This is even more important than the number of electrodes and the power of the processors on the chip. When you insert a foreign object into your brain, it tries to isolate itself from it. This is a multidisciplinary topic not only for doctors and psychophysiologists, but also for engineers, programmers, mathematicians. Of course, the problem is complex and it will be possible to overcome it only with joint efforts.
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