TooltY: An Approach for the Combination of Motion Capture and 3D Reconstruction to Present Tool Usage in 3D Environments

[1]  Daniel Thalmann,et al.  Using an Intermediate Skeleton and Inverse Kinematics for Motion Retargeting , 2000, Comput. Graph. Forum.

[2]  Judy Kay,et al.  Interactive Realistic Digital Avatars - Revisiting the Uncanny Valley , 2017, HICSS.

[3]  Chris Hecker,et al.  Real-time motion retargeting to highly varied user-created morphologies , 2008, SIGGRAPH 2008.

[4]  Paul Zikas,et al.  Transforming medical education and training with VR using M.A.G.E.S. , 2018, SIGGRAPH ASIA Posters.

[5]  Ilia Adami,et al.  An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts , 2020, Applied Sciences.

[6]  D. Cohen-Or,et al.  Action synopsis: pose selection and illustration , 2005, SIGGRAPH 2005.

[7]  Imma Boada,et al.  A new e-learning platform for radiology education (RadEd) , 2016, Comput. Methods Programs Biomed..

[8]  Xiaoping Yun,et al.  An investigation of the effects of magnetic variations on inertial/magnetic orientation sensors , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[9]  Luca Chittaro,et al.  Guiding visitors of Web3D worlds through automatically generated tours , 2003, Web3D '03.

[10]  Chun-Fa Chang,et al.  Key Probe: a technique for animation keyframe extraction , 2005, The Visual Computer.

[11]  Hyun Joon Shin,et al.  Single image summarization of 3D animation using depth images , 2012, Comput. Animat. Virtual Worlds.

[12]  Salvatore Sessa,et al.  Towards Miniaturization of a MEMS-Based Wearable Motion Capture System , 2011, IEEE Transactions on Industrial Electronics.

[13]  W. Lewis Johnson,et al.  Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control , 1999, Appl. Artif. Intell..

[14]  Behzad Dariush,et al.  Online and markerless motion retargeting with kinematic constraints , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  Konstantinos Ilias Kotis.  ARTIST - a reAl-time low-effoRt mulTi-entity Interaction System for creaTing reusable and optimized MR experiences , 2019 .

[16]  Evropi Stefanidi,et al.  CasandRA: A Screenplay Approach to Dictate the Behavior of Virtual Humans in AmI Environments , 2019, HCI.

[17]  Louis-Philippe Morency,et al.  Manipulating the Perception of Virtual Audiences Using Crowdsourced Behaviors , 2016, IVA.

[18]  Paul Zikas,et al.  Rapid Reconstruction and Simulation of Real Characters in Mixed Reality Environments , 2017, ITN-DCH.

[19]  David R. Traum,et al.  Embodied agents for multi-party dialogue in immersive virtual worlds , 2002, AAMAS '02.

[20]  Gary Ferrington,et al.  Virtual Reality: A New Learning Environment. , 1992 .

[21]  Pauline Dewan.  Words Versus Pictures: Leveraging the Research on Visual Communication , 2015 .

[22]  Nadine Pfeiffer-Leßmann,et al.  ExProtoVAR: A Lightweight Tool for Experience-Focused Prototyping of Augmented Reality Applications Using Virtual Reality , 2018, HCI.

[23]  Luca Chittaro,et al.  Employing virtual humans for education and training in X3D/VRML worlds , 2007, Comput. Educ..

[24]  Paul Zikas,et al.  Life-sized Group and Crowd simulation in Mobile AR , 2016, CASA.

[25]  Jian J. Zhang,et al.  Action snapshot with single pose and viewpoint , 2018, The Visual Computer.

[26]  Tom Boyle,et al.  Requirements elicitation for virtual actors in collaborative learning environments , 2000, Comput. Educ..