3D Body Reconstruction for Immersive Interaction

Cohen, Isaac; Lee, Mun Wai

doi:10.1007/3-540-36138-3_10

Cited by 8 publications

(3 citation statements)

References 23 publications

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“…Accurate marker-based tracking systems are very expensive, low in usability (e.g., users must wear special suits), and thus are finding use mainly for animation production and motion capture, and not for everyday use as is often required in rehabilitation. Real-time marker-less vision-based tracking is still in early stages of development for 6DF applications (Wren, Azarbayejani, Darrell, & Pentland, 1997;Cohen, Li, & Lee, 2002), but may provide useful options in the future. In essence, significant advances are still needed to produce low-cost and accurate tracking technology required for more effective VR rehabilitation systems.…”

Section: The Interface Challenge 2: Wires and Displaysmentioning

confidence: 99%

“…Canesta Inc. has developed a new solid-state chip that can sense 3D objects and process such data in real time (the technology has been applied to implementing a virtual keyboard by tracking human fingers) (Canesta, 2004). Cheap vision processing will one day enable wireless whole-body tracking (Wren et al, 1997;Cohen et al, 2002) that will have significant impact on the feasibility of physical therapy VR applications. Real-time vision processing will also enhance mixed/augmented reality systems applied to rehabilitation.…”

Section: Emerging Advances In Vr Technology 2: Devices and Wiresmentioning

confidence: 99%

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A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy

Rizzo

Kim

2005

Presence: Teleoperators & Virtual Environments

752

415

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The use of virtual-reality technology in the areas of rehabilitation and therapy continues to grow, with encouraging results being reported for applications that address human physical, cognitive, and psychological functioning. This article presents a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis for the field of VR rehabilitation and therapy. The SWOT analysis is a commonly employed framework in the business world for analyzing the factors that influence a company's competitive position in the marketplace with an eye to the future. However, the SWOT framework can also be usefully applied outside of the pure business domain. A quick check on the Internet will turn up SWOT analyses for urban-renewal projects, career planning, website design, youth sports programs, and evaluation of academic research centers, and it becomes obvious that it can be usefully applied to assess and guide any organized human endeavor designed to accomplish a mission. It is hoped that this structured examination of the factors relevant to the current and future status of VR rehabilitation will provide a good overview of the key issues and concerns that are relevant for understanding and advancing this vital application area. IntroductionVirtual reality (VR) has now emerged as a promising tool in many domains of therapy and rehabilitation (Weiss & Jessel, 1998;Glantz, Rizzo, & Graap, 2003;Zimand et al. 2003;Rizzo, Schultheis, Kerns, & Mateer, 2004). Continuing advances in VR technology, along with concomitant system-cost reductions, have supported the development of more usable, useful, and accessible VR systems that can uniquely target a wide range of physical, psychological, and cognitive rehabilitation concerns and research questions. What makes VR application development in the therapy and rehabilitation sciences so distinctively important is that it represents more than a simple linear extension of existing computer technology for human use. VR offers the potential to create systematic human testing, training, and treatment environments that allow for the precise control of complex, immersive, dynamic 3D stimulus presentations, within which sophisticated interaction, behavioral tracking, and performance recording is possible. Much like an aircraft simulator serves to test and train piloting ability, virtual environments (VEs) can be developed to present simulations that assess and rehabilitate human functional performance under a range of stimulus conditions that are not easily deliverable and controllable in the real world. When combining these assets within the context of functionally Rizzo and Kim 119

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Section: The Interface Challenge 2: Wires and Displaysmentioning

confidence: 99%

Section: Emerging Advances In Vr Technology 2: Devices and Wiresmentioning

confidence: 99%

A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy

Rizzo

Kim

2005

Presence: Teleoperators & Virtual Environments

752

415

View full text Add to dashboard Cite

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“…I. Cohen et al [12], consider the use of the shape boundary, position, and mean color to characterize human posture.…”

Section: Introductionmentioning

confidence: 99%

Automatic Classification of Human Body Postures Based on the Truncated SVD

Zerrouki¹,

Houacine²

2014

JACN

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Abstract-In this experimental study, we propose the use of Singular Value Decomposition (SVD) coefficients as features to automatically classify human body postures. The classification process uses images extracted from a fixed camera video. A background subtraction technique is applied for human body segmentation. A truncated SVD is performed by selecting significant magnitude coefficients. And the height-width ratio of the human body is also included in the set of features. The classification is then performed using an Artificial Neural Network (ANN). Four body postures are considered in our experiments, namely: standing, bending, sitting, and lying. Evaluation results show that the proposed method achieved 90.46% classification accuracy. Truncated SVD coefficients and height-width ratio as body posture features are thus appropriate descriptors to achieve high classification accuracy. Also, the proposed method yields the best classification accuracy compared to well-known classification methods. Index Terms-Human body postures, classification, SVD coefficients, neural network. I. INTRODUCTIONHuman behavior understanding remains an interesting study area in intelligent video monitoring because it is closely related to computer vision applications and automatic surveillance. It is a very challenging and complex task due to some difficulties such as variations in people's appearance, skin color, illumination conditions, and the amount of data generated. To reduce the complexity, many previous works have focused on some specific topics such as face recognition [1], body tracking [2], and hand gesture recognition [3] from a single image or multiple images.Behavior understanding includes mainly motion pattern identification or body posture analysis and classification. Many approaches have been proposed for human posture classification. Poppe et al. [4] use a degree of freedom to estimate the body posture for a presenter in meeting environments. Hooi et al. propose a computer vision-based approach to automatically detect human body parts and estimate the human body postures from a monocular video sequence [5].However, most of the stated methods use skin color to locate hands and head. The person is also supposed to face the camera which can be considered as a limitation.Capo et al. present a computer vision algorithm to automatically model the human body skeleton using Bayesian networks classifier [6]. In [7] the body is decomposed into its Manuscript received August 25, 2013; revised October 29, 2013. The authors are with LCPTS laboratory, University of Sciences and Technology Houari Boumé dienne, Algeria (e-mail: nzerrouki@usthb.dz, ahouacine@usthb.dz). main parts, it constructs a silhouette based body model to determine the location of the body parts [8]. But recognition of human parts is not an easy task as it requires processing based on only visible parts of the body. Lutz Goldmann et al.[9] use appearance-based features for posture description such as color, shape, texture, motion, and size. Fast Fourier Tran...

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Development of Direct Manipulation Interface for Collaborative VR/MR Workspace

et al. 2005

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Our research projects aim to connect various VR/MR platforms and to realize the seamless collaborative works with the intuitive operations whenever and wherever users like. In order to realize an ideal collaborative workspace, an effective handling scheme for both interactive virtual objects and system operation of VR/MR platform is needed. In this paper, we describe the three components, which are the direct manipulation interfaces for potable MR space and for fixed shared VR/MR space, and Interactive 3D Marker for displaying and manipulating virtual objects reflected lighting and geometry conditions of the real world. These components can give users seamless manipulation workspace by the natural operations such as they behave in their daily life. We also introduce Interactive Interior Design System using these components. This system realizes to coordinate the suitable interiors in the real space, by the free manipulation of virtual interior objects reflected the geometry and the lighting condition of the real space.

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3D Body Reconstruction for Immersive Interaction

Cited by 8 publications

References 23 publications

A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy

A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy

Automatic Classification of Human Body Postures Based on the Truncated SVD

Development of Direct Manipulation Interface for Collaborative VR/MR Workspace

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