E-Learning and Games

We propose a novel approach on using static and dynamic gesture recognition in VR games to represent interactive objects in games, such as equipment system, weapons and handy-tools. We examine various applications of gesture recognition in games, learning, medicine and VR, including how developers currently use the bundles of HDM devices paired with hand tracking sensors. The proposed approach provides game developers with a control over recording gestures and binding them to in-game intractable objects and equipment.

[1]  Uwe Soergel,et al.  HIERARCHICAL HIGHER ORDER CRF FOR THE CLASSIFICATION OF AIRBORNE LIDAR POINT CLOUDS IN URBAN AREAS , 2016 .

[2]  Martial Hebert,et al.  Natural terrain classification using three‐dimensional ladar data for ground robot mobility , 2006, J. Field Robotics.

[3]  Elizabeth M Zelinski,et al.  Cognitive benefits of computer games for older adults. , 2009, Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society.

[4]  María Concepcion Alonso,et al.  Automatic Detection and Classification of Pole-Like Objects in Urban Point Cloud Data Using an Anomaly Detection Algorithm , 2015, Remote. Sens..

[5]  Xiaopeng Zhang,et al.  Robust curvature estimation and geometry analysis of 3D point cloud surfaces , 2009 .

[6]  D. Lang,et al.  Adaptivity of conditional random field based outdoor point cloud classification , 2016, Pattern Recognition and Image Analysis.

[7]  Zhen Wang,et al.  A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Dimitri Lague,et al.  3D Terrestrial LiDAR data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology , 2011, ArXiv.

[9]  Pierre Alliez,et al.  A Survey of Surface Reconstruction from Point Clouds , 2017, Comput. Graph. Forum.

[10]  Heiner Kuhlmann,et al.  Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping , 2013, BMC Bioinformatics.

[11]  M.S.J. Hashmi,et al.  Virtual reality applications in manufacturing process simulation , 2004 .

[12]  Massimo Bergamasco,et al.  Beyond virtual museums: experiencing immersive virtual reality in real museums , 2010 .

[13]  Ruofei Zhong,et al.  A Bayesian-Network-Based Classification Method Integrating Airborne LiDAR Data With Optical Images , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[14]  Jingdao Chen,et al.  Principal Axes Descriptor for Automated Construction-Equipment Classification from Point Clouds , 2017, J. Comput. Civ. Eng..

[15]  Janaki Kumar,et al.  Gamification at Work: Designing Engaging Business Software , 2013, HCI.

[16]  Martial Hebert,et al.  Directional Associative Markov Network for 3-D Point Cloud Classification , 2008 .

[17]  Andrew McCallum,et al.  An Introduction to Conditional Random Fields , 2010, Found. Trends Mach. Learn..

[18]  Markus Hollaus,et al.  Object-Based Point Cloud Analysis of Full-Waveform Airborne Laser Scanning Data for Urban Vegetation Classification , 2008, Sensors.

[19]  Stefan Hinz,et al.  Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers , 2015 .

[20]  Xiangguo Lin,et al.  Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests , 2017, Remote. Sens..

[21]  Markus Vincze,et al.  Fast semantic segmentation of 3D point clouds using a dense CRF with learned parameters , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[22]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[23]  Carme Torras,et al.  Recognizing Point Clouds Using Conditional Random Fields , 2014, 2014 22nd International Conference on Pattern Recognition.

[24]  Andrea Gauthier,et al.  Exploring the influence of game design on learning and voluntary use in an online vascular anatomy study aid , 2015, Comput. Educ..

[25]  Nico Blodow,et al.  Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.

[26]  Martial Hebert,et al.  Discriminative Random Fields , 2006, International Journal of Computer Vision.

[27]  Jitendra Malik,et al.  Recognizing Objects in Range Data Using Regional Point Descriptors , 2004, ECCV.

[28]  Zhiguo Cao,et al.  A fast and robust local descriptor for 3D point cloud registration , 2016, Inf. Sci..

[29]  M. Himmelsbach,et al.  Real-time object classification in 3D point clouds using point feature histograms , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[30]  Xiangyun Hu,et al.  Deep-Learning-Based Classification for DTM Extraction from ALS Point Cloud , 2016, Remote. Sens..

[31]  Lars Petersson,et al.  Non-associative Higher-Order Markov Networks for Point Cloud Classification , 2014, ECCV.

[32]  Maria Roussou,et al.  Immersive Interactive Virtual Reality in the Museum , 2001 .

[33]  Uwe Soergel,et al.  CONDITIONAL RANDOM FIELDS for LIDAR POINT CLOUD CLASSIFICATION in COMPLEX URBAN AREAS , 2012 .

[34]  Zhen Wang,et al.  A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[35]  G. Vosselman Point cloud segmentation for urban scene classification , 2013 .

[36]  Emmanuel Fokides,et al.  Virtual Reality and Museum: An Educational Application for Museum Education , 2008, iJET.

[37]  Simon Lacroix,et al.  Classification of Outdoor 3D Lidar Data Based on Unsupervised Gaussian Mixture Models , 2017, IEEE Transactions on Automation Science and Engineering.

[38]  Feiping Nie,et al.  Interactive Visual Object Extraction Based on Belief Propagation , 2007, MMM.

[39]  Anthony Mandow,et al.  Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning , 2017, Sensors.

[40]  Ian Glover,et al.  Play As You Learn: Gamification as a Technique for Motivating Learners , 2013 .