2012
DOI: 10.1007/s12369-012-0147-x
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Measuring the Improvement of the Interaction Comfort of a Wearable Exoskeleton

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Cited by 41 publications
(29 citation statements)
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“…However, previous researches [1], [2] primarily focused on two aspects. First, enhancing device's loading capacity by employing high power actuators or complicated mechanical designs; second, the control of exoskeleton as an application of machine learning problem for which only the bio-signal classification and pattern prediction rate are concerned [3], [4]. The timing of assistance, though an important aspect, has been more or less neglected.…”
Section: Introductionmentioning
confidence: 99%
“…However, previous researches [1], [2] primarily focused on two aspects. First, enhancing device's loading capacity by employing high power actuators or complicated mechanical designs; second, the control of exoskeleton as an application of machine learning problem for which only the bio-signal classification and pattern prediction rate are concerned [3], [4]. The timing of assistance, though an important aspect, has been more or less neglected.…”
Section: Introductionmentioning
confidence: 99%
“…In [Radi et al 2010;Kron and Schmidt 2003] the authors present systems with multimodal feedback, both visual and haptic. Systems with a higher level of embodiment can be found in [Folgheraiter et al 2012]. These works present systems with multimodal feedback where the operator controls a remote robot with a wearable exoskeleton.…”
Section: Related Workmentioning
confidence: 99%
“…This, in general, is not a trivial task due to the fact that, in most of the cases, an improvement in one direction brings inevitably a worsening in the others. Finally when the interface is implemented it is necessary to conduct a long test phase where the control system is finely tuned and the comfort and effectiveness of the prototype is measured by mean of a suitable metric [4], [5]. In the case that the kinematic structure of the robot is relative simple it is possible to represent the optimization problem with a pure analytical approach and use a global or local optimum design process [6].…”
Section: Introductionmentioning
confidence: 99%