A Survey of Glove-Based Systems and Their Applications
By Laura Dipietro, Angelo Maria Sabatini, Paolo Dario. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 2008
728 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/71ff8a2b5228de6d8bc247477557f316921ed26e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Jamie Shotton
- Javier Romero
- Yichen Wei
- Dimitrios Tzionas
- Michael J. Black
- Eyal Krupka
- Andrew William Fitzgibbon
- J. Laviola
In Human-Computer Interaction
- Michael J. Black
- Dimitrios Tzionas
- Jamie Shotton
- Pushmeet Kohli
- Yichen Wei
- Javier Romero
- Shahram Izadi
- Andrew William Fitzgibbon
Citations in the corpus
- A stretchable carbon nanotube strain sensor for human-motion detection. (2011, background): “Conventional data glove systems use optical fibres or metal strain gauges (cyber glove) as sensing element”
- Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor (2012, background): “One approach is to instrument the hand directly by wearing a glove with embedded sensors or markers (see [7] for an overview).”
- Soft Robotics: A Perspective—Current Trends and Prospects for the Future (2014, neutral): “In contrast to existing ‘‘dataglove’’ technologies, 18 these wearable electronics would be inexpensive and composed almost entirely of soft elastic material.”
- A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis (2010, background): “The reader interested further in glove-based systems and their applications should refer to the comprehensive study of such systems presented in [59].”
- Accurate, Robust, and Flexible Real-time Hand Tracking (2015, background): “RELATED WORK Given our aims described above, we avoid encumbering the user’s hand with data gloves [7], colored gloves [32], wearable cameras [13], or markers [38], all of which can be barriers for natural interaction.”
- Embodied hands (2017, methodology): “Several methods use additional instrumentation like wearable cameras [Kim et al. 2012], markers [Zhao et al. 2012], data-gloves [Dipietro et al. 2008], or colored-gloves [Wang and Popović 2009] to simplify hand tracking.”
- Resistive flex sensors: a survey (2015, background): “These setups require tedious time-consuming procedures and are potentially sources of inaccuracy [84].”