What every computer scientist should know about floating-point arithmetic
ACM Computing Surveys (CSUR)
Real-Time Fingertip Tracking and Gesture Recognition
IEEE Computer Graphics and Applications
Real-Time Input of 3D Pose and Gestures of a User's Hand and Its Applications for HCI
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
Real-time hand posture recognition using range data
Image and Vision Computing
Handy AR: Markerless Inspection of Augmented Reality Objects Using Fingertip Tracking
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
A user interface for VR-ready 3D medical imaging by off-the-shelf input devices
Computers in Biology and Medicine
Smoothed Pointing: A User-Friendly Technique for Precision Enhanced Remote Pointing
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
Vision-based hand-gesture applications
Communications of the ACM
Exploring the potential for touchless interaction in image-guided interventional radiology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Engineering interactive computer systems for medicine and healthcare (EICS4Med)
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
Communications of the ACM
International Journal of Human-Computer Studies
Controller-free exploration of medical image data: Experiencing the Kinect
CBMS '11 Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems
Hand pose estimation and hand shape classification using multi-layered randomized decision forests
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
View-independent Hand Posture Recognition from Single Depth Images Using PCA and Flusser Moments
SITIS '12 Proceedings of the 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
View-independent Hand Posture Recognition from Single Depth Images Using PCA and Flusser Moments
SITIS '12 Proceedings of the 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
A study on the degrees of freedom in touchless interaction
SIGGRAPH Asia 2013 Technical Briefs
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In this paper, we introduce a novel method for view-independent hand pose recognition from depth data. The proposed approach, which does not rely on color information, provides an estimation of the shape and orientation of the user's hand without constraining him/her to maintain a fixed position in the 3D space. We use principal component analysis to estimate the hand orientation in space, Flusser moment invariants as image features and two SVM-RBF classifiers for visual recognition. Moreover, we describe a novel weighting method that takes advantage of the orientation and velocity of the user's hand to assign a score to each hand shape hypothesis. The complete processing chain is described and evaluated in terms of real-time performance and classification accuracy. As a case study, it has also been integrated into a touchless interface for 3D medical visualization, which allows users to manipulate 3D anatomical parts with up to six degrees of freedom. Furthermore, the paper discusses the results of a user study aimed at assessing if using hand velocity as an indicator of the user's intentionality in changing hand posture results in an overall gain in the classification accuracy. The experimental results show that, especially in the presence of out-of-plane rotations of the hand, the introduction of the velocity-based weighting method produces a significant increase in the pose recognition accuracy.