The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Taketoshi Mori - One of the best experts on this subject based on the ideXlab platform.
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pressure distribution image based human motion tracking system using skeleton and surface Integration Model
International Conference on Robotics and Automation, 2001Co-Authors: Tatsuya Harada, Takahiro Sato, Taketoshi MoriAbstract:A lying person's motion tracking system by using a pressure distribution image and a full body Model is proposed. The full body Model consists of a skeleton and a surface Model to cope with a variety of body shapes. BVH files are used as the skeleton Model that describes a hierarchy of joints and links. Wavefront object files are used as the surface Model that describes geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure a pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and a difference between the measured pressure distribution image and a pressure distribution image that is calculated by the full body Model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.
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pressure distribution image based human motion tracking system using skeleton and surface Integration Model
International Conference on Robotics and Automation, 2001Co-Authors: Tatsuya Harada, Tomomasa Sato, Taketoshi MoriAbstract:A lying person's motion tracking system by using a pressure distribution image and a full body Model is proposed. The full body Model consists of a skeleton and a surface Model to cope with a variety of body shapes. BVH files are used as the skeleton Model that describes a hierarchy of joints and links. Wavefront object files are used as the surface Model that describes geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure a pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and a difference between the measured pressure distribution image and a pressure distribution image that is calculated by the full body Model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.
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human motion tracking system based on skeleton and surface Integration Model using pressure sensors distribution bed
Workshop on Human Motion, 2000Co-Authors: Tatsuya Harada, Takahiro Sato, Taketoshi MoriAbstract:Proposes a human motion tracking system based on a full-body Model and a pressure-sensor distribution bed. The full-body Model consists of a skeleton and a surface Model. BVH files are used as the skeleton Model that describes a hierarchy of joints and links. Wavefront object files are used as the surface Model that describes the geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure the pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and the difference between the measured pressure distribution image and the pressure distribution image that is calculated by the full-body Model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.
Tatsuya Harada - One of the best experts on this subject based on the ideXlab platform.
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pressure distribution image based human motion tracking system using skeleton and surface Integration Model
International Conference on Robotics and Automation, 2001Co-Authors: Tatsuya Harada, Takahiro Sato, Taketoshi MoriAbstract:A lying person's motion tracking system by using a pressure distribution image and a full body Model is proposed. The full body Model consists of a skeleton and a surface Model to cope with a variety of body shapes. BVH files are used as the skeleton Model that describes a hierarchy of joints and links. Wavefront object files are used as the surface Model that describes geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure a pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and a difference between the measured pressure distribution image and a pressure distribution image that is calculated by the full body Model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.
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pressure distribution image based human motion tracking system using skeleton and surface Integration Model
International Conference on Robotics and Automation, 2001Co-Authors: Tatsuya Harada, Tomomasa Sato, Taketoshi MoriAbstract:A lying person's motion tracking system by using a pressure distribution image and a full body Model is proposed. The full body Model consists of a skeleton and a surface Model to cope with a variety of body shapes. BVH files are used as the skeleton Model that describes a hierarchy of joints and links. Wavefront object files are used as the surface Model that describes geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure a pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and a difference between the measured pressure distribution image and a pressure distribution image that is calculated by the full body Model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.
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human motion tracking system based on skeleton and surface Integration Model using pressure sensors distribution bed
Workshop on Human Motion, 2000Co-Authors: Tatsuya Harada, Takahiro Sato, Taketoshi MoriAbstract:Proposes a human motion tracking system based on a full-body Model and a pressure-sensor distribution bed. The full-body Model consists of a skeleton and a surface Model. BVH files are used as the skeleton Model that describes a hierarchy of joints and links. Wavefront object files are used as the surface Model that describes the geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure the pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and the difference between the measured pressure distribution image and the pressure distribution image that is calculated by the full-body Model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.
Bruce H Friedman - One of the best experts on this subject based on the ideXlab platform.
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an autonomic flexibility neurovisceral Integration Model of anxiety and cardiac vagal tone
Biological Psychology, 2007Co-Authors: Bruce H FriedmanAbstract:Research on heart rate variability (HRV), cardiac vagal tone, and their relationship to anxiety is reviewed in the context of the autonomic flexibility and neurovisceral Integration Models of adaptive functioning. These perspectives address the qualities of response flexibility and inhibition across multiple levels, incorporating central and autonomic nervous system mechanisms of environmental engagement, as well as principles derived from non-linear dynamics. These Models predict reduced HRV and vagal tone in anxiety, and the literature has generally supported this prediction, with exceptions as are noted. State, trait, and clinical expressions of anxiety are considered, along with the clinical, methodological, and theoretical implications of this research. A portrayal of anxiety as a restricted response range across biological and behavioral realms of functioning is drawn from the literature on anxiety and HRV.
W A Wallace - One of the best experts on this subject based on the ideXlab platform.
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an industrial network flow information Integration Model for supply chain management and intelligent transportation
Enterprise Information Systems, 2007Co-Authors: Cheng Hsu, W A WallaceAbstract:Industrial network flow involves three domains: infrastructure, individual subjects of movement, and planning and control of the movement. Examples include supply chain and intelligent transportation. These traditionally isolated domains can be digitally connected to enhance their performance. Digitization of the infrastructure provides real-time data to facilitate its operation, while digitally connecting the subjects to the infrastructure allows for tailored services and support to particular subjects. Connection of both to the enterprise information systems enables adaptive control for the application (e.g. logistics) at a global optimization level. Previous results in the field cover separate aspects of planning/routing, real-time monitoring, and trip support. Toward this end, a new highway-based subject-infrastructure-enterprise (SIE) information Integration Model using digital connection is proposed to the field of industrial network flow control for application to intelligent transportation and supply chain management. The SIE Model supports industrial network flow control in a way comparable to an adaptive control panel administering an automated material handling system. In this metaphor, the global infrastructure becomes 'controllable' similar to factory conveyors and automated guided vehicles. This paper presents a conceptual design substantiated with information requirements analysis. An empirical experiment at locations in New York State shows the technical feasibility of the digital connection envisioned.
Julian F Thayer - One of the best experts on this subject based on the ideXlab platform.
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from the heart to the mind cardiac vagal tone modulates top down and bottom up visual perception and attention to emotional stimuli
Frontiers in Psychology, 2014Co-Authors: Gewnhi Park, Julian F ThayerAbstract:The neurovisceral Integration Model (Thayer & Lane, 2000) posits that cardiac vagal tone, indexed by heart rate variability (HRV), can indicate the functional integrity of the neural networks implicated in emotion-cognition interactions. Our recent findings begin to disentangle how HRV is associated with both top-down and bottom-up cognitive processing of emotional stimuli. Higher resting HRV is associated with more adaptive and functional top-down and bottom-up cognitive modulation of emotional stimuli, which may facilitate effective emotion regulation. Conversely, lower resting HRV is associated with hyper-vigilant and maladaptive cognitive responses to emotional stimuli, which may impede emotion regulation. In the present paper, we recapitulate the neurovisceral Integration Model and review recent findings that shed light on the relationship between HRV and top-down and bottom-up visual perception and attention to emotional stimuli, which may play an important role in emotion regulation. Further implications of HRV on individual well-being and mental health are discussed.
