Human hand motion analysis is attracting researchers in the areas of neuroscience, biomedical engineering, robotics, human-machines interfaces (HMI), human-computer interaction (HCI), and artificial intelligence (AI). Among the others, the fields of medical rehabilitation and physiological assessments are suggesting high impact applications for wearable sensing systems. Glove-based systems are one of the most significant devices in assessing quantities related to hand movements. This paper provides updated survey among the main glove solutions proposed in literature for hand rehabilitation. Then, the process for designing glove-based systems is defined, by including all relevant design issues for researchers and makers. The main goal of the paper is to describe the basics of glove-based systems and to outline their potentialities and limitations. At the same time, roadmap to design and prototype the next generation of these devices is defined, according to the results of previous experiences in the scientific community.
Glove-based systems for medical applications: review of recent advancements / De Pasquale, Giorgio; Mastrototaro, Leonardo. - In: JOURNAL OF TEXTILE ENGINEERING & FASHION TECHNOLOGY. - ISSN 2574-8114. - STAMPA. - 4:3(2018), pp. 286-295.
|Titolo:||Glove-based systems for medical applications: review of recent advancements|
|Data di pubblicazione:||2018|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.15406/jteft.2018.04.00153|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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