The classification of the bio-signal has been used for various purposes in the literature as
they are versatile in diagnosis of anomalies, improvement of overall health and sport …

We derive sharp bounds on the generalization error of a generic linear classifier trained by
empirical risk minimization on randomly-projected data. We make no restrictive assumptions …

Gesturing provides an alternative interaction input for design that is more natural and
intuitive. However, standard input devices do not completely reflect natural hand motions in …

With the development of data acquisition equipment, more and more modalities become
available for gesture recognition. However, there still exist two critical issues for multimodal …

In this study, a vision based in-car entertainment user interface is presented. The user
interface is designed using a hand posture and gesture recognition algorithm in deep …

Aiming at the problem that the robustness of gesture recognition is difficult to guarantee, this
paper presents a method based on multi-features and sparse representation. Hu invariant …

An isolated sign language recognition system is presented in this paper. A RGB-D sensor,
Microsoft Kinect, is used for obtaining color stream and skeleton points from the depth …

In this study, a gesture and posture recognition method which is based on the Block Sparse,
Sparse Representative Classification, and its use for a robotic wheel-chair control are …

In this paper, a hand gesture-based recognition system is presented with the aim of
recognizing finger-spelling using the American Sign Language. The solution makes use of …

The Sparse Representation based Classification (SRC) method has been utilized for various
pattern recognition problems, especially for face recognition. Upon its success, the SRC …