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2015
DOI: 10.1109/mts.2015.2494279
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Multimedia and Gaming Technologies for Telerehabilitation of Motor Disabilities [Leading Edge]

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Cited by 21 publications
(13 citation statements)
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“…This platform, in particular, analyzes the movement of upper and lower limbs, as well as balance impairment [ 23 ]. Other examples include “AMMR” mixed reality rehabilitation, and “Mercury,” a wearable sensor network platform for high-fidelity motion analysis [ 24 ].…”
Section: Reviewmentioning
confidence: 99%
“…This platform, in particular, analyzes the movement of upper and lower limbs, as well as balance impairment [ 23 ]. Other examples include “AMMR” mixed reality rehabilitation, and “Mercury,” a wearable sensor network platform for high-fidelity motion analysis [ 24 ].…”
Section: Reviewmentioning
confidence: 99%
“…Adherence is essential to the success of any home program intervention ( Jordan et al, 2010 ; Shaughnessy & Resnick, 2009 ). A critical evaluation factor is whether participants will sustain engagement in their home training with limited in-person contact and whether this training can be completed safely ( Altilio et al, 2015 ). Acceptability and uptake of m Health by middle-aged and older adults is a potential barrier to EPIC Wheels implementation; low self-efficacy and technology-related anxiety may contribute to this reluctance ( Chen & Chan, 2011 ; Laguna & Babcock, 2000 ).…”
Section: Introductionmentioning
confidence: 99%
“…A third example is reported in [5], where a pair of smart sonic shoes is connected to the Internet to explore novel forms of sound-based motor therapies. This work is positioned in the context of remote patient monitoring [86], and more specifically is conceived for telerehabilitation of motor disabilities [87]. As opposed to the previous two systems described in this section, such a work uses the approach of interactive sonification [88], which deals with the involvement of dynamic human interaction in the generation or exploration of information transformed into sound.…”
Section: B Sonification and The Internet Of Thingsmentioning
confidence: 99%