Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
Richard Bowden, David Windridge, Timor Kadir, Andr...
In this paper, we introduce a tuned eigenspace technique so as to classify human motion. The method presented here overcomes those problems related to articulated motion and dress...
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
The recent emergence of network interface cards (NICs) with diverse hardware features for I/O virtualization poses an important challenge for virtual machine environments, particu...
Jose Renato Santos, Yoshio Turner, Jayaram Mudigon...
The objective of this work is to demonstrate that progressive haptic guidance can accelerate and improve motor task training outcomes over visual or practice-only methods in a tra...