Exploiting Inherent Human Motor Behaviour in the Online Personalisation of Human-Prosthetic Interfaces

Abstract

Human-prosthetic interfaces require their settings to be tuned to individual users. This can potentially be done autonomously while the prosthesis user performs a task by using online personalisation algorithms. These online personalisation algorithms adjust the interface parameters to optimise a given measure of performance. For convergence to be reached, both the human and the personalisation algorithm need to optimise towards the same objective. To date, task-oriented measures of performance have been utilised as the objective, requiring explicit feedback of the measure of performance to the prosthesis user, which is not practical. In this letter, the use of inherent human motor behaviour..