Adaptation of the human-machine interface to the human skill and dynamic characteristics

Kalevi Tervo, Heikki N. Koivo

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

Human Adaptive Mechatronics (HAM) considers operator's individual skills and preferences. Operator's performance is time-varying and stochastic. Modifying the static parameters of the Human-Machine Interface (HMI) the human operator's skill level and dynamic characteristics can be passively adapted. Knowledge-based approach is applied to change the machine parameters. This leads to a novel Skill Adaptive Control (SAC), which is described in the paper. A trolley crane system is simulated to test how operators can benefit of SAC. Four operators were using the system.

Original languageEnglish
Title of host publication19th IFAC World Congress, Proceedings
PublisherIFAC Secretariat
Pages3539-3544
Number of pages6
Volume19
ISBN (Electronic)9783902823625
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventIFAC World Congress - Barcelona, Spain
Duration: 21 Jul 200226 Jul 2002
Conference number: 19

Publication series

NameIFAC PAPERSONLINE
PublisherInternational Federation of Automatic Control IFAC
Number3
Volume47
ISSN (Print)2405-8963

Conference

ConferenceIFAC World Congress
Abbreviated titleIFAC
CountrySpain
CityBarcelona
Period21/07/200226/07/2002

Keywords

  • Adaptation
  • Fuzzy inference system
  • Human adaptive mechatronics
  • Human-machine interface
  • Knowledge-based system
  • Skill evaluation

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