The representation and manipulation of sound within multimedia systems is an important and currently under-researched area. The paper gives an overview of the authors’ work on the direct manipulation of audio information, and describes a solution based upon the navigation of fourdimensional scaled timbre spaces. Three hardware input devices were experimentally evaluated for use in a timbre spac...

Navigational systems guide users providing visual and acoustic indications, burdening user’s attention. On the one hand, following visual guidance is challenging because of the constant need to switch the gaze between the display and the surroundings. On the other hand, auditory indications can be obtrusive and inefficient. Tactile displays, i.e., systems that send stimuli via the tactile chann...

We present a novel dataglove mapping technique based on parameterisable models that handle both the cross coupled sensors of the fingers and thumb, and the under-specified abduction sensors for the fingers. Our focus is on realistically reproducing the posture of the hand as a whole, rather than on accurate fingertip positions. The method proposed in this paper is a vision-free, object free, da...

OBJECTIVES Design, construct, and characterize an apparatus to evaluate dermal protective clothing for resistance to polymerizing materials. Specifically, we evaluated the permeation of the most common glove material used in automotive collision repair (0.10-0.13 mm or 4-5 mil latex) with representative isocyanate-containing clear coats. Our ultimate goal is to make informed recommendations on ...

With the expansion of robots, researchers have focused on robot tasks with waterproof functions. Although numerous underwater-robot studies been published recently, there has minimal research waterproofing robotic hands. The aim this study is to develop an underwater gripping control strategy for a hand using glove. By silicone-rubber-based glove, finished task. However, error occurred during t...

The Global Vectors for word representation (GloVe), introduced by Jeffrey Pennington et al. [3] is reported to be an efficient and effective method for learning vector representations of words. State-of-the-art performance is also provided by skip-gram with negative-sampling (SGNS) [2] implemented in the word2vec tool. In this note, we explain the similarities between the training objectives of...