Majewski, Martin ; Braun, Andreas ; Marinc, Alexander ; Kuijper, Arjan (2013)
Providing Visual Support for Selecting Reactive Elements in Intelligent Environments.
Transactions on Computational Science XVIII.
doi: 10.1007/978-3-642-38803-3_14
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
When realizing gestural interaction in a typical living environment there often is an offset between user-perceived and machine-perceived direction of pointing, which can hinder reliable selection of elements in the surroundings. This work presents a support system that provides visual feedback to a freely gesturing user; thus enabling reliable selection of and interaction with reactive elements in intelligent environments. We have created a prototype that is showcasing this feedback method based on gesture recognition using the Microsoft Kinect and visual support provision using a custom built laser-robot. Finally an evaluation has been performed, in order to prove the efficiency of such a system, acquire usability feedback and determine potential learning effects for gesture-based interaction.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Majewski, Martin ; Braun, Andreas ; Marinc, Alexander ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Providing Visual Support for Selecting Reactive Elements in Intelligent Environments |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 7848 |
| Veranstaltungstitel: | Transactions on Computational Science XVIII |
| DOI: | 10.1007/978-3-642-38803-3_14 |
| Kurzbeschreibung (Abstract): | When realizing gestural interaction in a typical living environment there often is an offset between user-perceived and machine-perceived direction of pointing, which can hinder reliable selection of elements in the surroundings. This work presents a support system that provides visual feedback to a freely gesturing user; thus enabling reliable selection of and interaction with reactive elements in intelligent environments. We have created a prototype that is showcasing this feedback method based on gesture recognition using the Microsoft Kinect and visual support provision using a custom built laser-robot. Finally an evaluation has been performed, in order to prove the efficiency of such a system, acquire usability feedback and determine potential learning effects for gesture-based interaction. |
| Freie Schlagworte: | Gesture based interaction, Human-computer interaction (HCI), Feedback, Ambient intelligence (AmI) |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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