2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) 2020
DOI: 10.1109/biorob49111.2020.9224288
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Impact of Diverse Aspects in User-Prosthesis Interfaces for Myoelectric Upper-limb Prostheses

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Cited by 3 publications
(6 citation statements)
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“…The NASA-TLX test was used to measure and analyze the workload evoked by each interface under evaluation, as done in [11,19,22,40]. This test was selected to evaluate the impact that each UPI has on the users' workload effectively.…”
Section: Nasa Task Load Indexmentioning
confidence: 99%
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“…The NASA-TLX test was used to measure and analyze the workload evoked by each interface under evaluation, as done in [11,19,22,40]. This test was selected to evaluate the impact that each UPI has on the users' workload effectively.…”
Section: Nasa Task Load Indexmentioning
confidence: 99%
“…The main difference is that the subset, Q = {q 0 , q 1 }, is reduced to only two contractions. In this way, it is imitating the iteration proposed in [22,42], by utilizing "wave in" to act and "wave out" to select and deactivate a grip, illustrated in Figure 7. This simplified subset provides a viable alternative if some of the Myo poses are unperformable by the patient.…”
Section: Myo-powered Interface With a Reduced Contractions Subsetmentioning
confidence: 99%
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“…Vision-based prosthetic hands using deep learning technology have also been developed [30] [31] [32] [33]. The state-of-the-art approach offers new possibilities for the control of a dexterous prosthetic hand [34].…”
Section: Related Workmentioning
confidence: 99%