Control scheme selection in human-machine- interfaces by analysis of activity signals
| Autor: | Rüdiger Rupp, Ralf Mikut, David Liebetanz, Wolfgang Doneit, Markus Reischl |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Scheme (programming language)
rehabilitation engineering Computer science Interface (computing) Control (management) Biomedical Engineering 02 engineering and technology calibration Rehabilitation engineering 03 medical and health sciences 0302 clinical medicine Human–computer interaction 0202 electrical engineering electronic engineering information engineering data quality Medicine 020201 artificial intelligence & image processing Human–machine system computer 030217 neurology & neurosurgery Selection (genetic algorithm) computer.programming_language human-machine interfaces |
| Zdroj: | Current Directions in Biomedical Engineering, Vol 2, Iss 1, Pp 707-710 (2016) |
| ISSN: | 2364-5504 |
| Popis: | Human-Machine Interfaces in rehabilitation engineering often use activity signals. Examples are electrical wheelchairs or prostheses controlled by means of muscle contractions. Activity signals are user-dependent and often reflect neurological weaknesses. Thus, not all users are able to operate the same control scheme in a robust manner. To avoid under- and overstraining, the interface ideally uses a control scheme which reflects the user’s control ability best. Therefore, we explored typical phenomena of activation signals. We derive criteria to quantify the user’s performance and abilities and present a routine which automatically selects and adapts one of three control schemes being best suited. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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