Abstract
Using modern interaction methods and devices enables a more natural and intuitive interaction. Currently, only mobile phones and game consoles which are supporting such gesture-based interactions have good payment-rates. This comes along, that such devices will be bought not only by the traditional technical experienced consumers. The interaction with such devices becomes so easy, that also older people playing or working with them. Especially older people have more handicaps, so for them it is difficult to read small text, like they are used as description to buttons on remote controls for televisions. They also become fast overstrained, so that bigger technical systems are no help for them. If it is possible to interact with gestures, all these problems can be avoided. But to allow an intuitive and easy gesture interaction, gestures have to be supported, which are easy to understand. Because of that fact, in this paper we tried to identify intuitive gestures for common interaction scenarios on computer-based systems for uses in ambient assisted environment. In this evaluation, the users should commit their opinion of intuitive gestures for different presented scenarios/tasks. Basing on these results, intuitively useable systems can be developed, so that users are able to communicate with technical systems on more intuitive level using accelerometer-based devices.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Hofemann, N.: Videobasierte Handlungserkennung für die natürliche Mensch-Maschine-Interaktion. Diss., Technische Fakultät of the University Bielefeld (2007)
Rehm, M., Bee, N., André, E.: Wave like an Egyp-tian: accelerometer based gesture recognition for cul-ture specific interactions. In: Proceedings of the 22nd British HCI Group Annual Conference on HCI 2008: People and Computers Xxii: Culture, Creativity, interaction, vol. 1, pp. 13–22. British Computer Society, Swinton (2008)
Dachselt, R., Buchholz, R.: Natural throw and tilt in-teraction between mobile phones and distant dis-plays. In: Proceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems, pp. 3253–3258. ACM, New York (2009)
Wolf, C.G., Samuels, P.M.: The use of hand-drawn gestures for text editing. International Journal of Man-Machine Studies 27(1), 91–102 (1987)
LaViola, J.J.: A Survey of Hand Posture and Gesture Recognition Techniques and Technology. Technical Report. UMI Order Number: CS-99-11., Brown University (1999)
Burkhardt, D., Nazemi, K., Bhatti, N., Hornung, C.: Technology Support for Analyzing User Interactions to Create User-Centered Interactions. In: Proceedings of HCI International 2009, pp. 3–12. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Nazemi, K., Burkhardt, D., Stab, C., Breyer, M., Wichert, R., Fellner, D.W. (2011). Natural Gesture Interaction with Accelerometer-Based Devices in Ambient Assisted Environments. In: Wichert, R., Eberhardt, B. (eds) Ambient Assisted Living. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18167-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-18167-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18166-5
Online ISBN: 978-3-642-18167-2
eBook Packages: EngineeringEngineering (R0)