In sign language research, we understand little about articulatory factors involved in shaping phonemic boundaries or the amount (and articulatory nature) of acceptable phonetic variation between handshapes. To date, there exists no comprehensive analysis of handshape based on the quantitative measurement of joint angles during sign production. The purpose of our work is to develop a methodolog...

The Cymanus is a novel flex sensor glove for measuring hand kinematics in primates. It was used to monitor 9 joints of a rhesus macaque performing a grasping task with 25 objects. Over 6 days, the monkey tolerated the glove and showed no significant impairment in performance. The sensors linearly tracked joint angles, with joint trajectories preserved over days. Angular positions discriminated ...

This paper describes the design and preliminary evaluation of a glove with individual sensors covering the tips of the thumb, third, and fourth fingers, plus grids of smaller sensors lining the palmar sides of the first and second fingers. The glove senses two types of gestures: rubbing the thumb against the first two fingers, and tapping the thumb on the tip of any of the four fingers, alone o...

The aim in this paper is to track articulated hand motion from monocular video. Bayesian filtering is implemented by using a tree-based representation of the posterior distribution. Each tree node corresponds to a partition of the state space with piecewise constant density. In a hierarchical search regions with low probability mass can be rapidly discarded, while the modes of the posterior can...

Teaching robots everyday tasks like making pancakes by instructions requires interfaces that can be intuitively operated by nonexperts. By performing manipulation tasks in a virtual environment using a data glove task-related information of the demonstrated actions can directly be accessed and extracted from the simulator. We translate low-level data structures of these simulations into meaning...

A force-feedback Phantom device, a custom-built vibrotactile dataglove, and embossed paper sheets are compared to detect different textures. Two types of patterns are used, one formed by different geometrical shapes, and the other with different grooves width. Evaluation shows that the vibrotactile dataglove performs better in the detection of textures where the frequency of tactile stimuli var...

In this paper, a real-time Human-Computer Interaction (HCI) based on the hand data glove and K-NN classifier for gesture recognition is proposed. HCI is moving more and more natural and intuitive way to be used. One of the important parts of our body is our hand which is most frequently used for the Interaction in Digital Environment and thus complexity and flexibility of motion of hands are th...

Gesture-based interfaces, in which the user specifies commands by simple freehand drawings, offer an alternative to traditional keyboard, menu, and direct manipulation interfaces. The ability to specify objects, an operation, and additional parameters with a single intuitive gesture makes gesture-based systems appealing to both novice and experienced users. Unfortunately, the difficulty in buil...

This study determined the durability of various types of medical examination gloves using a laboratory test developed by the researchers. Results of this testing are compared with a simulated clinical method, also developed by the researchers, found to produce failures at rates similar to actual clinical use. Ten types of exam gloves were tested. One set of gloves was tested using a glove durab...

Background. "Lead hands" are frequently used to maintain hand and finger position in hand surgery. The malleability and strength of lead make it ideal for this purpose. The aim of this study was to determine the amount of lead transferred to a surgeon's glove during handling of a lead hand. Method. Sterile surgical gloves were wiped over the surface of a lead hand. The number of wipes was varie...