<i>Head and body motion tracking of caged chicken in video</i>

2017 ◽  
Author(s):  
Linfang / Xiao ◽  
Chenbo / Song ◽  
Xiuqin / Rao
Keyword(s):  
Motion Tracking ◽  
Body Motion

scholarly journals Co-Reading as a Generative Ontology

2018 ◽  
Vol 6 (3) ◽  
pp. 151-163
Author(s):  
Simon Biggs
Keyword(s):  
Dark Matter ◽  
Motion Tracking ◽  
Interactive Systems ◽  
Body Motion ◽  
Interactive System ◽  
Assemblage Theory ◽  
Multi Agent ◽  
Technical Considerations ◽  
Full Body

This paper discusses the immersive full body motion tracking installation Dark Matter, developed by the author and completed in early 2016. The paper outlines the conceptual focus of the project, including the use of the metaphor of dark matter to explore questions around interactive systems and assemblage. The primary technical considerations involved in the project are also outlined. ‘Co-reading' is proposed as a framework for a generative ontology, within the context of assemblage theory, deployed within a multimodal multi-agent interactive system.

scholarly journals Subsecond total-body imaging using ultrasensitive positron emission tomography

2020 ◽  
Vol 117 (5) ◽  
pp. 2265-2267 ◽  
Author(s):  
Xuezhu Zhang ◽  
Simon R. Cherry ◽  
Zhaoheng Xie ◽  
Hongcheng Shi ◽  
Ramsey D. Badawi ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Motion Tracking ◽  
The Body ◽  
Body Motion ◽  
Emission Tomography ◽  
Ct Scanner ◽  
External Monitoring ◽  
Time Motion ◽  
Positron Emission ◽  
Total Body

A 194-cm-long total-body positron emission tomography/computed tomography (PET/CT) scanner (uEXPLORER), has been constructed to offer a transformative platform for human radiotracer imaging in clinical research and healthcare. Its total-body coverage and exceptional sensitivity provide opportunities for innovative studies of physiology, biochemistry, and pharmacology. The objective of this study is to develop a method to perform ultrahigh (100 ms) temporal resolution dynamic PET imaging by combining advanced dynamic image reconstruction paradigms with the uEXPLORER scanner. We aim to capture the fast dynamics of initial radiotracer distribution, as well as cardiac motion, in the human body. The results show that we can visualize radiotracer transport in the body on timescales of 100 ms and obtain motion-frozen images with superior image quality compared to conventional methods. The proposed method has applications in studying fast tracer dynamics, such as blood flow and the dynamic response to neural modulation, as well as performing real-time motion tracking (e.g., cardiac and respiratory motion, and gross body motion) without any external monitoring device (e.g., electrocardiogram, breathing belt, or optical trackers).

scholarly journals User Experiences While Playing Dance-Based Exergames and the Influence of Different Body Motion Sensing Technologies

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Alasdair G. Thin ◽  
Craig Brown ◽  
Paul Meenan
Keyword(s):  
Video Game ◽  
Motion Tracking ◽  
Physical Exertion ◽  
Body Motion ◽  
Physiological Measures ◽  
Motion Sensing ◽  
Game Console ◽  
Technological Affordances ◽  
Dance Dance Revolution ◽  
Play Experience

Dance Dance Revolution is a pioneering exergame which has attracted considerable interest for its potential to promote regular exercise and its associated health benefits. The advent of a range of different consumer body motion tracking video game console peripherals raises the question whether their different technological affordances (i.e., variations in the type and number of body limbs that they can track) influence the user experience while playing dance-based exergames both in terms of the level of physical exertion and the nature of the play experience. To investigate these issues a group of subjects performed a total of six comparable dance routines selected from commercial dance-based exergames (two routines from each game) on three different consoles. The subjects’ level of physical exertion was assessed by measuring oxygen consumption and heart rate. They also reported their perceived level of exertion, difficulty, and enjoyment ratings after completing each dance routine. No differences were found in the physiological measures of exertion between the peripherals/consoles. However, there were significant variations in the difficulty and enjoyment ratings between peripherals. The design implications of these results are discussed including the tension between helping to guide and coordinate player movement versus offering greater movement flexibility.

scholarly journals Embodied virtual reality for the study of real-world motor learning

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245717
Author(s):  
Shlomi Haar ◽  
Guhan Sundar ◽  
A. Aldo Faisal
Keyword(s):  
Virtual Reality ◽  
Motor Learning ◽  
Visual Feedback ◽  
Real World ◽  
Motion Tracking ◽  
Body Motion ◽  
Controlled Environment ◽  
Short Term ◽  
Learning And Adaptation ◽  
Full Body

Motor-learning literature focuses on simple laboratory-tasks due to their controlled manner and the ease to apply manipulations to induce learning and adaptation. Recently, we introduced a billiards paradigm and demonstrated the feasibility of real-world-neuroscience using wearables for naturalistic full-body motion-tracking and mobile-brain-imaging. Here we developed an embodied virtual-reality (VR) environment to our real-world billiards paradigm, which allows to control the visual feedback for this complex real-world task, while maintaining sense of embodiment. The setup was validated by comparing real-world ball trajectories with the trajectories of the virtual balls, calculated by the physics engine. We then ran our short-term motor learning protocol in the embodied VR. Subjects played billiard shots when they held the physical cue and hit a physical ball on the table while seeing it all in VR. We found comparable short-term motor learning trends in the embodied VR to those we previously reported in the physical real-world task. Embodied VR can be used for learning real-world tasks in a highly controlled environment which enables applying visual manipulations, common in laboratory-tasks and rehabilitation, to a real-world full-body task. Embodied VR enables to manipulate feedback and apply perturbations to isolate and assess interactions between specific motor-learning components, thus enabling addressing the current questions of motor-learning in real-world tasks. Such a setup can potentially be used for rehabilitation, where VR is gaining popularity but the transfer to the real-world is currently limited, presumably, due to the lack of embodiment.

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