A survey on wearable sensor-based systems for health monitoring and prognosis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Infrastructure and reliability analysis of electric networks for e-textiles
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Enhancing hand gesture recognition using fuzzy clustering-based mixture-of-experts model
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Real-time hand gesture recognition using a color glove
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Adaptive mixture-of-experts models for data glove interface with multiple users
Expert Systems with Applications: An International Journal
A glove for tapping and discrete 1D/2D input
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Handy: A real-time three color glove-based gesture recognizer with learning vector quantization
Expert Systems with Applications: An International Journal
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Hand movement data acquisition is used in many engineering applications ranging from the analysis of gestures to the biomedical sciences. Glove-based systems represent one of the most important efforts aimed at acquiring hand movement data. While they have been around for over three decades, they keep attracting the interest of researchers from increasingly diverse fields. This paper surveys such glove systems and their applications. It also analyzes the characteristics of the devices, provides a road map of the evolution of the technology, and discusses limitations of current technology and trends at the frontiers of research. A foremost goal of this paper is to provide readers who are new to the area with a basis for understanding glove systems technology and how it can be applied, while offering specialists an updated picture of the breadth of applications in several engineering and biomedical sciences areas.