Relaxed hand postures

Visual recognition of continuous hand postures

This paper describes GREFIT (Gesture REcognition based on FInger Tips), a neural network-based system which recognizes continuous hand postures from gray-level video images (posture capturing). Our approach yields a full identification of all finger joint angles (making, however, some assumptions about joint couplings to simplify computations). This allows a full reconstruction of the three-dim...

GREFIT: Visual Recognition of Hand Postures

Single Trial Classification of Imagined Hand Postures

Motor imagery (MI) based brain computer interface (BCI) systems are mostly used in the design of robotic/prosthetic arm control. MI signals are asynchronous and hence have the potential of being used in systems that require dynamic manipulation. In MI there is a significant amount of user adaptation involved; to address this issue there is a need to design BCI that is intuitive for the user to ...

View-Independent Recognition of Hand Postures

In Proc. of IEEE Conf. on CVPR’2000, Vol.II, pp.88-94, Hilton Head Island, SC, 2000 Since human hand is highly articulated and deformable, hand posture recognition is a challenging example in the research of view-independent object recognition. Due to the difficulties of the modelbased approach, the appearance-based learning approach is promising to handle large variation in visual inputs. Howe...

Modeling Relaxed Hand Shape for Character Animation

We present a technique for modeling the deformations that occur to hand pose under the influence of gravity when the hand is kept in a relaxed state. A dynamic model of the hand is built using ProportionalDerivative controllers as a first order approximation to muscles. A process for tuning the model to match the relaxed hand shape of subjects is discussed. Once the model is tuned, it can be us...