Concept of a Co-Adaptive Training Environment for Human-Machine Interfaces Based on EMG-Control

Autor:	David Liebetanz, Rüdiger Rupp, Ralf Mikut, M.R. Tuga, Markus Reischl
Rok vydání:	2013
Předmět:	Measure (data warehouse) General interest Human–computer interaction Computer science Control (management) Biomedical Engineering Control signal Training (meteorology) Human–machine system Task (project management)
Zdroj:	Biomedical Engineering / Biomedizinische Technik.
ISSN:	1862-278X 0013-5585
Popis:	Learning how to reliably operate HMIs is chal- lenging and time-consuming especially if the underlying control signal is based on biosignals like myoelectric activ- ities. This work describes a concept of a co-adaptive train- ing environment. The human user performs a given task and various features are extracted for performance measure- ment. Based on single-objective optimization our concept looks for optimal parameters helping the user to improve the performance in the next tasks. Parts of the proposed concept were already implemented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf5cf3564e88df23df8ac7da6c15deab https://doi.org/10.1515/bmt-2013-4388 Zobrazit plný text záznamu