Towards Natural Interaction with Wheelchair Using Nintendo Wiimote Controller

The importance of natural interaction increases when the subjects are disabled people. It has been found that embedded solutions for impaired people lack in fluid interaction properties. This work investigates the interface design of a wheelchair controller according to the rules of physicality. Our aim is to provide further ease of use to the impaired whilst strengthening link between embedded software engineering and human-computer interaction. We propose an improved multi-function interface design by using Nintendo’s Wiimote that is more intuitive, robust, low cost, and most importantly, natural to use.

[1]  Fabio Paternò,et al.  Human Computer Interaction with Mobile Devices , 2002, Lecture Notes in Computer Science.

[2]  Yoshinori Kuno,et al.  Robotic wheelchair looking at all people with multiple sensors , 2003, Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003..

[3]  Abigail Sellen,et al.  The myth of the paperless office , 2001 .

[4]  Donald A. Norman.  Three challenges for design , 2007, INTR.

[5]  Luis Gardeazabal,et al.  Mobile Interface for a Smart Wheelchair , 2002, Mobile HCI.

[6]  M. Bouzit,et al.  Evaluation of RU-Netra - Tactile Feedback Navigation System For The Visually Impaired , 2006, 2006 International Workshop on Virtual Rehabilitation.

[7]  Donald A. Norman.  The next UI breakthrough, part 2: physicality , 2007, INTR.

[8]  Alan J. Dix,et al.  Physigrams: modelling devices for natural interaction , 2009, Formal Aspects of Computing.

[9]  David J. Brown,et al.  An evaluation of the Wii Nunchuk as an alternative assistive device for people with intellectual and physical disabilities using switch controlled software , 2011, Comput. Educ..

[10]  Edwin Hutchins,et al.  The uses of paper in commercial airline flight operations , 2006, CSCW '06.

[11]  Hyun Seung Son,et al.  User Behavior Analysis Framework (UBAF) : Mapping  HCI with SE , 2007, Future Generation Communication and Networking (FGCN 2007).

[12]  Alan J. Dix,et al.  Modelling Devices for Natural Interaction , 2008, Electron. Notes Theor. Comput. Sci..

[13]  R. Kowalik,et al.  A tactile system for informing the blind on direction of a walk , 2008, 2008 Conference on Human System Interactions.

[14]  James M. Coughlan,et al.  Computer vision-based clear path guidance for blind wheelchair users , 2008, Assets '08.

[15]  Markus Vincze,et al.  A simple inexpensive interface for robots using the Nintendo Wii controller , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Ching-Tien Shih,et al.  A limb action detector enabling people with multiple disabilities to control environmental stimulation through limb action with a Nintendo Wii Remote Controller. , 2010, Research in developmental disabilities.

[17]  Akio Yamamoto,et al.  Virtual environment to evaluate multimodal feedback strategies for augmented navigation of the visually impaired , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[18]  Helen Sharp,et al.  The role of physical artefacts in agile software development: Two complementary perspectives , 2009, Interact. Comput..