Human Computer Interaction for Vision Based Hand Gesture Recognition: A Survey

The ultimate aim is to bring Human Computer Interaction to a regime where interactions with computers will be as natural as an interaction between humans, and to this end, incorporating gestures in HCI is an important research area. Gestures have long been considered as an interaction technique that...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) S. 55 - 60
Hauptverfasser: Hasan, Haitham Sabah, Kareem, S. Abdul
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.11.2012
Schlagworte:
Accuracy
Cameras
Gesture recognition
Hands
Hidden Markov models
Human computer interaction
Image recognition
natural interfaces
recognition
representations
Robustness
Surveys
Tracking
ISBN:1467358320, 9781467358323
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The ultimate aim is to bring Human Computer Interaction to a regime where interactions with computers will be as natural as an interaction between humans, and to this end, incorporating gestures in HCI is an important research area. Gestures have long been considered as an interaction technique that can potentially deliver more natural, creative and intuitive methods for communicating with our computers. This paper provides a summary of previous surveys done in this area and focuses on the different application domain which employs hand gestures for efficient interaction. The use of hand gestures as a natural interface serves as a motivating force for research in gesture taxonomies, its representations and recognition techniques. Also provides an analysis of existing literature related to gesture recognition systems for human computer interaction by categorizing it based on different parameters. The main goal of this survey is to provide researchers in the field with a summary of progress achieved to date and to help identify areas where further research is needed.
ISBN:1467358320
9781467358323
DOI:10.1109/ACSAT.2012.37