scholarly journals Some Video Abstraction Techniques for Displaying Body Movement in Analysis and Performance

Leonardo ◽  
2013 ◽  
Vol 46 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Alexander Refsum Jensenius
Keyword(s):  
Medical Research ◽  
Human Body ◽  
Body Movement ◽  
Body Movements ◽  
Video Recordings ◽  
Music Research ◽  
And Performance ◽  
Visualization Techniques ◽  
Motion History Images ◽  
Video Visualization

This paper presents an overview of techniques for creating visual displays of human body movement based on video recordings. First a review of early movement and video visualization techniques is given. Then follows an overview of techniques that the author has developed and used in the study of music-related body movements: motion history images, motion average images, motion history keyframe images and motiongrams. Finally, examples are given of how such visualization techniques have been used in empirical music research, in medical research and for creative applications.

scholarly journals 3D Motion-based Ergonomic and Body Posture Analysis in Construction

2016 ◽  
Author(s):  
Xinming Li ◽  
SangHyeok Han ◽  
Mustafa Gul ◽  
Mohamed Al-Hussein
Keyword(s):  
Risk Assessment ◽  
Human Body ◽  
Manufacturing Industry ◽  
Body Movement ◽  
Risk Identification ◽  
Body Posture ◽  
Body Motion ◽  
Body Movements ◽  
Posture Analysis ◽  
Ergonomic Risk

The construction manufacturing industry in North America has a disproportionately high number of lost-time injuries due to the higher physical demand of labour-intensive tasks. It is thus essential to investigate the physical demands of body movement in the workplace in order to identify worker exposure to ergonomic risk. This paper presents a methodology for converting video-captured body movements in an actual manufacturing plant into 3D virtual animations for ergonomic risk analysis. Through 3D virtual animation, dynamic human body data can be obtained (such as joint angles) for body posture risk assessment analysis using existing risk assessment algorithms. The presented framework enables body motion risk identification by detecting awkward body postures, evaluating handled force/load and frequency that cause ergonomic risk during body movements of workers. The capability of the 3D modelling can be extended to support the re-design of the workplace and optimization of human body movement accordingly in order to mitigate ergonomic risk. The methodology is implemented in a case study in order to analyze operational tasks in manufacturing plants. Modified work recommendations are expected as a result of this systematic 3D ergonomic analysis which will further reduce potential injuries and workersäó» compensation insurance costs in the long term.

Striking Factory and Strike of Consciousness in the Work of S. M. Eisenstein

2014 ◽  
Author(s):  
Elen Vogman
Keyword(s):  
Political Economy ◽  
Soviet Union ◽  
Human Body ◽  
Body Movements ◽  
The Soviet Union ◽  
The Everyday ◽  
Everyday Work ◽  
Political Model

The Soviet Union of the 1920s produces and supports multiple connections between the policy of work in factories and the research in medical, neurological, and collective physiology. The theatrical and cinematic work of S. M. Eisenstein forms a specific prism where these interconnections appear in a spectrum of concrete attempts to engage the factory as an aesthetic and political model. The factory as a concrete topos which Eisenstein exploits in Gas Masks and Strike questions the interrelations between the human body and machine in a new iconology of a striking factory. For the duration of the Strike, the factory is represented beyond any functionality: the workers’ body movements and gestures are all the more expressive the less they have to do with their everyday work. This modulated status of production appears in Capital, Eisenstein’s unfulfilled project to realize Marx’s political economy with methods of inner monologue invented by Joyce. This last project transfigures the factory strike into the structure of cinematographic thinking where the neuro-sensorial stimuli constantly strike the logic of the everyday consciousness in the non-personal, polyphonic, and intimate monologue.

scholarly journals Feasibility of Using Floor Vibration to Detect Human Falls

2020 ◽  
Vol 18 (1) ◽  
pp. 200
Author(s):  
Yu Shao ◽  
Xinyue Wang ◽  
Wenjie Song ◽  
Sobia Ilyas ◽  
Haibo Guo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Human Body ◽  
Nearest Neighbor ◽  
Body Movement ◽  
Modern Society ◽  
Recognition System ◽  
Machine Learning Algorithms ◽  
K Nearest Neighbor ◽  
Study Results ◽  
Floor Vibration

With the increasing aging population in modern society, falls as well as fall-induced injuries in elderly people become one of the major public health problems. This study proposes a classification framework that uses floor vibrations to detect fall events as well as distinguish different fall postures. A scaled 3D-printed model with twelve fully adjustable joints that can simulate human body movement was built to generate human fall data. The mass proportion of a human body takes was carefully studied and was reflected in the model. Object drops, human falling tests were carried out and the vibration signature generated in the floor was recorded for analyses. Machine learning algorithms including K-means algorithm and K nearest neighbor algorithm were introduced in the classification process. Three classifiers (human walking versus human fall, human fall versus object drop, human falls from different postures) were developed in this study. Results showed that the three proposed classifiers can achieve the accuracy of 100, 85, and 91%. This paper developed a framework of using floor vibration to build the pattern recognition system in detecting human falls based on a machine learning approach.

scholarly journals Characterizing the Effects of Explosive Ordnance Disposal Operations on the Human Body While Wearing Heavy Personal Protective Equipment

2021 ◽  
pp. 001872082199262
Author(s):  
Yi-Ning Wu ◽  
Adam Norton ◽  
Michael R. Zielinski ◽  
Pei-Chun Kao ◽  
Andrew Stanwicks ◽  
...  
Keyword(s):  
Human Body ◽  
Personal Protective Equipment ◽  
Evaluation Methodology ◽  
Protective Equipment ◽  
Physiological Measurement ◽  
Cognitive Stress ◽  
Explosive Ordnance Disposal ◽  
And Performance ◽  
Inspection Tasks ◽  
Muscle Activations

Objective To provide a comprehensive characterization of explosive ordnance disposal (EOD) personal protective equipment (PPE) by evaluating its effects on the human body, specifically the poses, tasks, and conditions under which EOD operations are performed. Background EOD PPE is designed to protect technicians from a blast. The required features of protection make EOD PPE heavy, bulky, poorly ventilated, and difficult to maneuver in. It is not clear how the EOD PPE wearer physiologically adapts to maintain physical and cognitive performance during EOD operations. Method Fourteen participants performed EOD operations including mobility and inspection tasks with and without EOD PPE. Physiological measurement and kinematic data recording were used to record human physiological responses and performance. Results All physiological measures were significantly higher during the mobility and the inspection tasks when EOD PPE was worn. Participants spent significantly more time to complete the mobility tasks, whereas mixed results were found in the inspection tasks. Higher back muscle activations were seen in participants who performed object manipulation while wearing EOD PPE. Conclusion EOD operations while wearing EOD PPE pose significant physical stress on the human body. The wearer’s mobility is impacted by EOD PPE, resulting in decreased speed and higher muscle activations. Application The testing and evaluation methodology in this study can be used to benchmark future EOD PPE designs. Identifying hazards posed by EOD PPE lays the groundwork for developing mitigation plans, such as exoskeletons, to reduce physical and cognitive stress caused by EOD PPE on the wearers without compromising their operational performance.

Human Physiology: A Very Short Introduction

2021 ◽  
Author(s):  
Jamie A. Davies
Keyword(s):  
Human Physiology ◽  
Medical Research ◽  
Human Body ◽  
Ethical Issues ◽  
Physiological Mechanisms ◽  
Short Introduction ◽  
Process Information ◽  
Internal Parameters ◽  
The Creation

Human Physiology: A Very Short Introduction explores how the human body works, senses, reacts, and defends itself. Physiology is the science of life. It considers how human bodies are supplied with energy, how they maintain their internal parameters, the ways in which they gather and process information or take action, and the creation of new generations. This VSI examines the experiments undertaken to understand the interplay of the vast variety of physiological mechanisms and principles within us, and analyses the ethical issues involved. It also looks at how enhanced understandings of physiological knowledge can help inform medical research and care.

scholarly journals In-Body Ranging with Ultra-Wideband Signals: Techniques and Modeling of the Ranging Error

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Muzaffer Kanaan ◽  
Memduh Suveren
Keyword(s):  
Neural Networks ◽  
Human Body ◽  
Extreme Value Distribution ◽  
Generalized Extreme Value Distribution ◽  
Ultra Wideband ◽  
Wideband Signals ◽  
Ranging Error ◽  
And Performance ◽  
Ranging Errors ◽  
Wireless Capsule

Results about the problem of accurate ranging within the human body using ultra-wideband signals are shown. The ability to accurately measure the range between a sensor implanted in the human body and an external receiver can make a number of new medical applications such as better wireless capsule endoscopy, next-generation microrobotic surgery systems, and targeted drug delivery systems possible. The contributions of this paper are twofold. First, we propose two novel range estimators: one based on an implementation of the so-called CLEAN algorithm for estimating channel profiles and another based on neural networks. Second, we develop models to describe the statistics of the ranging error for both types of estimators. Such models are important for the design and performance analysis of localization systems. It is shown that the ranging error in both cases follows a heavy-tail distribution known as the Generalized Extreme Value distribution. Our results also indicate that the estimator based on neural networks outperforms the CLEAN-based estimator, providing ranging errors better than or equal to 3.23 mm with 90% probability.

The effect of body-movement teaching, learning motivation and performance

2016 ◽  
Vol 24 (3) ◽  
pp. 414-437 ◽  
Author(s):  
Satoshi Sugahara ◽  
Hisayo Sugao ◽  
Steven Dellaportas ◽  
Takahiro Masaoka
Keyword(s):  
Body Movement ◽  
Learning Motivation ◽  
Control Group ◽  
Content Type ◽  
Entry Level ◽  
Quasi Experimental ◽  
And Performance ◽  
Teaching Learning ◽  
The Impact ◽  
Experimental Group

Purpose This research applies a quasi-experimental research method to investigate the impact of an innovative resource titled “Accounting Exercise” (teaching intervention using physical movement and lyrics) on learning motivation and performance on a group of students enrolled in a first-year undergraduate accounting course in Japan. Design/methodology/approach Five classes were randomly assigned to either an experimental group (two classes) or a control group (three classes). In the experimental group, 90 students participated in a 15-min “Accounting Exercise” at the commencement of lectures over three consecutive weeks. The remaining 133 students assigned to the control group did not participate in the Accounting Exercise. Findings The findings indicate that the Accounting Exercise provided stimuli in maintaining students’ learning motivation. This finding is important for entry-level students where learning motivation has the potential to influence students’ future decisions on major areas of study and career choices. Originality/value This finding is important for entry-level students where future career options are decided. This effect is also believed to contribute to reducing the declining numbers of students in accounting majors.

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