Characterizing the human-robot haptic dyad in robot therapy of stroke survivors

Dalia De Santis, Jacopo Zenzeri, Maura Casadio, Lorenzo Masia, Valentina Squeri, Pietro Morasso

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose – The working hypothesis, on which this paper is built, is that it is advantageous to look at protocols of robot rehabilitation in the general context of human-robot interaction in haptic dyads. The purpose of this paper is to propose a new method to detect and evaluate an index of active participation (AC index), underlying the performance of robot-assisted movements. This is important for avoiding the slacking phenomenon that affects robot therapy. Design/methodology/approach – The evaluation of the AC index is based on a novel technique of assistance which does not use constant or elastic forces but trains of small force impulses, with amplitude adapted to the level of impairment and a frequency of 2 Hz, which is suggested by recent results in the field of intermittent motor control. A preliminary feasibility test of the proposed method was carried out during a haptic reaching task in the absence of visual feedback, for a group of five stroke patients and an equal group of healthy subjects. Findings – The AC index appears to be stable and sensitive to training in both populations of subjects. Originality/value – The main original element of this study is the proposal of the new AC index of voluntary control associated with the new method of pulsed haptic interaction.

Original languageEnglish
Pages (from-to)267-288
Number of pages22
JournalInternational Journal of Intelligent Computing and Cybernetics
Volume7
Issue number3
DOIs
StatePublished - 5 Aug 2014
Externally publishedYes

Keywords

  • Human-robot haptic interaction
  • Robot therapy
  • Stroke survivors

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