Hatzfeld, Christian ; Kern, Thorsten Alexander ; Neupert, Carsten ; Lotichius, Jan ; Werthschützky, Roland
Hrsg.: Technische Universität Darmstadt, Continental Corporation (2013)
Network Representation of User’s Mechanical Impedance as Design and Evaluation Basis for Task-Specific Haptic Systems.
Sensor 2013. Nürnberg
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
This paper deals with the representation of the human user of a haptic system in the design process and investigates different fitting algorithms to find network representations and transfer functions. The user, represented by the mechanical impedance, serves as mechanical load to the system and influences the assessment of the quality of the haptic feedback. Due to large inter-personal variances, the mapping from measurements to concentrated network parameters is investigated in this paper.
Three different fitting approaches are used and compared based on the model error. The results show lowest errors for fitting algorithms that incorporate both amplitude and phase information of the measurements despite a linearity assumption of the basic network model. Suggestions for the mapping of the transfer functions to parameter values of the network model are given.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Hatzfeld, Christian ; Kern, Thorsten Alexander ; Neupert, Carsten ; Lotichius, Jan ; Werthschützky, Roland |
| Art des Eintrags: | Bibliographie |
| Titel: | Network Representation of User’s Mechanical Impedance as Design and Evaluation Basis for Task-Specific Haptic Systems |
| Sprache: | Englisch |
| Publikationsjahr: | Mai 2013 |
| Veranstaltungstitel: | Sensor 2013 |
| Veranstaltungsort: | Nürnberg |
| URL / URN: | http://dx.doi.org/10.5162/sensor2013/B2.2 |
| Kurzbeschreibung (Abstract): | This paper deals with the representation of the human user of a haptic system in the design process and investigates different fitting algorithms to find network representations and transfer functions. The user, represented by the mechanical impedance, serves as mechanical load to the system and influences the assessment of the quality of the haptic feedback. Due to large inter-personal variances, the mapping from measurements to concentrated network parameters is investigated in this paper. Three different fitting approaches are used and compared based on the model error. The results show lowest errors for fitting algorithms that incorporate both amplitude and phase information of the measurements despite a linearity assumption of the basic network model. Suggestions for the mapping of the transfer functions to parameter values of the network model are given. |
| Freie Schlagworte: | haptic system design, network representation, user impedance, vector fitting, system identification |
| Fachbereich(e)/-gebiet(e): | Studienbereiche 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektromechanische Konstruktionen (aufgelöst 18.12.2018) 18 Fachbereich Elektrotechnik und Informationstechnik > Mess- und Sensortechnik 18 Fachbereich Elektrotechnik und Informationstechnik |
| Hinterlegungsdatum: | 15 Mai 2013 07:53 |
| Letzte Änderung: | 17 Jan 2014 12:47 |
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