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

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.

Citation

De Santis, D., Zenzeri, J., Casadio, M., Masia, L., Squeri, V. and Morasso, P. (2014), "Characterizing the human-robot haptic dyad in robot therapy of stroke survivors", International Journal of Intelligent Computing and Cybernetics, Vol. 7 No. 3, pp. 267-288. https://doi.org/10.1108/IJICC-10-2013-0046