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Pedagogy and Human Movement
Across the full range of human movement studies and their many sub-disciplines, established institutional practices and forms of pedagogy are used to (re)produce valued knowledge about human movement. Pedagogy and Human Movement explores this pedagogy in detail to reveal its applications and meanings within individual fields.
This unique book examines the epistemological assumptions underlying each of these pedagogical systems, and their successes and limitations as ways of (re)producing knowledge related to physical activity, the body, and health. It also considers how the pedagogical discourses and devices employed influence the ways of thinking, practice, dispositions and identities of those who work in the fields of sport, exercise and other human movement fields.
With a scope that includes physical education, exercise and sports science, sports sociology and cultural studies, kinesiology, health promotion, human performance and dance, amongst other subjects, Pedagogy and Human Movement is the most comprehensive study of pedagogical cultures in human movement currently available. It is an invaluable resource for anybody with an interest in human movement studies.
Introduction Part 1: Introducing Pedagogy 1. Languaging Pedagogy Part 2: Pedagogy for Physical Activity 2. Sites of Pedagogy for Physical Activity 3 Pedagogies for Physical Education 4 Pedagogy in Sports Coaching Part 4: Pedagogy for the Body 5. Pedagogy and the Body in HMS 6. Physical Education, HMS and the Cult of the Body 7. The Body in School PE and Sport Part 4: Pedagogy for Health 8. HMS and Discourses on Health 9. Pedagogies for Health in HMS 10. Pedagogy and Health Oriented PE (HOPE) Part 5: Researching Pedagogy 11. Research on Pedagogy in HMS 12. Telling Tales about Pedagogy and the Pedagogy of Telling Tales
Richard Tinning is Professor of Pedagogy and Physical Education in the School of Human Movement Studies at the University of Queensland, Australia, and Adjunct Professor of Physical Education in the Faculty of Education at the University of Auckland, New Zealand. As a teacher educator he has been involved in major Australian curriculum development projects for physical education, worked on large-scale professional development programs for teachers, and been a consultant to both schools and universities. His research interests are informed by a socially critical perspective and have focused on issues related to pedagogy, knowledge, identity and professional development.
eBook
Movement matters : essays on: movement science, movement ecology and the nature of movement
Movement Matters is a collection of essays in which biomechanist Katy Bowman continues her groundbreaking investigation of the mechanics of our sedentary culture and the profound potential of human movement. Here she widens her 'You are how you move' message and invites us to consider our personal relationship with sedentarism, privilege, and nature.
Book
The energy cost of swimming and its determinants
The energy expended to transport the body over a given distance (
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, the energy cost) increases with speed both on land and in water. At any given speed,
C
is lower on land (e.g., running or cycling) than in water (e.g., swimming or kayaking) and this difference can be easily understood when one considers that energy should be expended (among the others) to overcome resistive forces since these, at any given speed, are far larger in water (hydrodynamic resistance, drag) than on land (aerodynamic resistance). Another reason for the differences in
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between water and land locomotion is the lower capability to exert useful forces in water than on land (e.g., a lower propelling efficiency in the former case). These two parameters (drag and efficiency) not only can explain the differences in
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between land and water locomotion but can also explain the differences in
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within a given form of locomotion (swimming at the surface, which is the topic of this review): e.g., differences between strokes or between swimmers of different age, sex, and technical level. In this review, the determinants of
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(drag and efficiency, as well as energy expenditure in its aerobic and anaerobic components) will, thus, be described and discussed. In aquatic locomotion it is difficult to obtain quantitative measures of drag and efficiency and only a comprehensive (biophysical) approach could allow to understand which estimates are “reasonable” and which are not. Examples of these calculations are also reported and discussed.
Journal Article
The concise book of the moving body
\"This book is for students and the general reader. The first seven chapters explain anatomical orientation, tissues, bone, the axial and appendicular skeletons, joints, and skeletal muscle and fascia. The last two chapters illustrate the muscle groups of the body's four major regions detailing each region's deep and superficial muscles in both anterior and posterior views. Tables show each muscle's origin, insertion, innervation, and action\"-- Provided by publisher.
BOOK
Les Merveilles de la locomotion
Extrait: \"Tout est mouvement dans la nature. Que nos yeux se dirigent sur la terre ou s'élèvent vers le ciel, ils ne voient que mouvement et progrès. Ici, des transformations géologiques, des îles qui s'abîment et des volcans qui jaillissent, une mer immense montant soir et matin; des graines qui germent et des forêts qui s'élèvent; et, pour régner sur ce monde, des animaux qui s'y agitent sans cesse; tout emporté dans l'espace d'un mouvement régulier...\"
eBook
How your body moves
Looks at how our bodies function to help us move and do the things we love to do.
Book
OpenCap: Human movement dynamics from smartphone videos
Measures of human movement dynamics can predict outcomes like injury risk or musculoskeletal disease progression. However, these measures are rarely quantified in large-scale research studies or clinical practice due to the prohibitive cost, time, and expertise required. Here we present and validate OpenCap, an open-source platform for computing both the kinematics (i.e., motion) and dynamics (i.e., forces) of human movement using videos captured from two or more smartphones. OpenCap leverages pose estimation algorithms to identify body landmarks from videos; deep learning and biomechanical models to estimate three-dimensional kinematics; and physics-based simulations to estimate muscle activations and musculoskeletal dynamics. OpenCap’s web application enables users to collect synchronous videos and visualize movement data that is automatically processed in the cloud, thereby eliminating the need for specialized hardware, software, and expertise. We show that OpenCap accurately predicts dynamic measures, like muscle activations, joint loads, and joint moments, which can be used to screen for disease risk, evaluate intervention efficacy, assess between-group movement differences, and inform rehabilitation decisions. Additionally, we demonstrate OpenCap’s practical utility through a 100-subject field study, where a clinician using OpenCap estimated musculoskeletal dynamics 25 times faster than a laboratory-based approach at less than 1% of the cost. By democratizing access to human movement analysis, OpenCap can accelerate the incorporation of biomechanical metrics into large-scale research studies, clinical trials, and clinical practice.
Journal Article
Moving your body
\"Discusses the different systems of the body and how they function together to make the body work\"--Provided by the publisher.
Book
Two-dimensional video-based analysis of human gait using pose estimation
Human gait analysis is often conducted in clinical and basic research, but many common approaches (e.g., three-dimensional motion capture, wearables) are expensive, immobile, data-limited, and require expertise. Recent advances in video-based pose estimation suggest potential for gait analysis using two-dimensional video collected from readily accessible devices (e.g., smartphones). To date, several studies have extracted features of human gait using markerless pose estimation. However, we currently lack evaluation of video-based approaches using a dataset of human gait for a wide range of gait parameters on a stride-by-stride basis and a workflow for performing gait analysis from video. Here, we compared spatiotemporal and sagittal kinematic gait parameters measured with OpenPose (open-source video-based human pose estimation) against simultaneously recorded three-dimensional motion capture from overground walking of healthy adults. When assessing all individual steps in the walking bouts, we observed mean absolute errors between motion capture and OpenPose of 0.02 s for temporal gait parameters (i.e., step time, stance time, swing time and double support time) and 0.049 m for step lengths. Accuracy improved when spatiotemporal gait parameters were calculated as individual participant mean values: mean absolute error was 0.01 s for temporal gait parameters and 0.018 m for step lengths. The greatest difference in gait speed between motion capture and OpenPose was less than 0.10 m s −1 . Mean absolute error of sagittal plane hip, knee and ankle angles between motion capture and OpenPose were 4.0°, 5.6° and 7.4°. Our analysis workflow is freely available, involves minimal user input, and does not require prior gait analysis expertise. Finally, we offer suggestions and considerations for future applications of pose estimation for human gait analysis.
Journal Article