Title
Sensorimotor Representation of Space: Application in Autonomous Systems and in a Wayfinding Assistant for Alzheimer's Disease
Abstract
We are interested in a bio-inspired representation of space that can be used for the design of autonomous systems and assistive devices. Experiments with subjects navigating in physically impossible environments indicate that the basic human representation of space cannot be map-like. Rather, it seems to be sensori motor in nature, combining sensory features with motor actions. We argue that such a sensori motor representation is important for the design of artificial systems that have to deal with spatial data. Here we demonstrate that this refers to both autonomous systems for spatial exploration and navigation and to systems for human assistance, in particular a navigation assistance and training system for people with Alzheimer's disease (AD). Disorientation and getting lost behavior are early signs of AD in most patients. The proposed system will focus on cognitive deficits associated with the disease by using and training skills that are still likely to be intact in the individual person. By means of guiding the attention to salient and autobiographically important landmarks, and practicing routes between them, the system will help to build up and train a more resilient sensori-motor representation. The user interface focuses on combining the visual scenes of the incorporated landmarks with a simplified map of the surrounding area.
Year
DOI
Venue
2012
10.1109/ICIS.2012.96
Computer and Information Science
Keywords
Field
DocType
basic human representation,autonomous system,autonomous systems,resilient sensori-motor representation,sensorimotor representation,training system,proposed system,motor action,sensori motor representation,sensori motor,wayfinding assistant,artificial system,bio-inspired representation,virtual reality,human computer interaction,navigation,spatial data,user interface,virtual environment,health care,user interfaces,multi agent systems,visualization
Virtual reality,Visualization,Training system,Computer science,Spatial cognition,Multi-agent system,Human–computer interaction,Autonomous system (Internet),Cognition,User interface
Conference
ISBN
Citations 
PageRank 
978-1-4673-1536-4
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
C. Zetzsche118126.79
Torben Gerkensmeyer200.34
Falko Schmid312211.76
Kerstin Schill418325.15