Mobility Assistance in the Bremen Ambient Assisted Living Lab

Various mobility assistants have been developed to enable the Rolland wheelchair and iWalker walker to behave intelligently in order to compensate for diminishing physical and cognitive faculties: A safety assistant ensures that the brakes are applied in time, a driving assistant avoids any obstacles and assists the user when going through doors, and the navigation assistant guides the unit along a route or can drive the user around in an autonomous manner. At the Bremen Ambient Assisted Living Lab, users can interact with these mobility assistants and the smart environment installed there. The goal is to evaluate new ambient assisted living technologies regarding their everyday usability. Various interaction modes are investigated, such as a head joystick, a touch screen, and natural language dialog.

[1]  Wolfram Burgard,et al.  Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters , 2007, IEEE Transactions on Robotics.

[2]  U. Frese,et al.  Applying a 3DOF Orientation Tracker as a Human-Robot Interface for Autonomous Wheelchairs , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[3]  Hui Shi,et al.  Formalising control in robust spoken dialogue systems , 2005, Third IEEE International Conference on Software Engineering and Formal Methods (SEFM'05).

[4]  Tim Laue,et al.  Controlling an automated wheelchair via joystick/head-joystick supported by smart driving assistance , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[5]  Bernd Krieg-Brückner,et al.  Modelling Route Instructions for Robust Human-Robot Interaction on Navigation Tasks , 2008, Int. J. Softw. Informatics.

[6]  Yvonne Rogers,et al.  Moving on from Weiser's Vision of Calm Computing: Engaging UbiComp Experiences , 2006, UbiComp.

[7]  Juan Carlos Augusto,et al.  Ambient Intelligence: Concepts and applications , 2007, Comput. Sci. Inf. Syst..

[8]  Kenny R. Coventry,et al.  Spatial Language and Dialogue , 2009, Explorations in language and space.

[9]  Gregg C. Vanderheiden,et al.  Non-homogenous Network, Control Hub and Smart Controller (NCS) Approach to Incremental Smart Homes , 2007, HCI.

[10]  Anthony G. Cohn,et al.  Qualitative Spatial Representation and Reasoning with the Region Connection Calculus , 1997, GeoInformatica.

[11]  Jared Glover A robotically-augmented walker for older adults , 2003 .

[12]  Paul Dourish,et al.  UbiComp 2006: Ubiquitous Computing, 8th International Conference, UbiComp 2006, Orange County, CA, USA, September 17-21, 2006 , 2006, UbiComp.

[13]  Christian Freksa,et al.  Qualitative spatial reasoning using orientation, distance, and path knowledge , 2004, Applied Intelligence.

[14]  Constantine Stephanidis,et al.  Universal Access in Human-Computer Interaction. Ambient Interaction, 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 Held as Part of HCI International 2007 Beijing, China, July 22-27, 2007 Proceedings, Part II , 2007, HCI.

[15]  Gottfried Zimmermann Open user interface standards - towards coherent, task-oriented and scalable user interfaces in home environments , 2007 .

[16]  Axel Lankenau,et al.  A versatile and safe mobility assistant , 2001, IEEE Robotics Autom. Mag..

[17]  Christian Mandel,et al.  Comparison of Wheelchair User Interfaces for the Paralysed: Head-Joystick vs. Verbal Path Selection from an offered Route-Set , 2007, EMCR.

[18]  Guido Bugmann,et al.  Converting natural language route instructions into robot executable procedures , 2002, Proceedings. 11th IEEE International Workshop on Robot and Human Interactive Communication.