Abstract
In this work we propose a wearable solution for boundary
detection (using ultrasonic range finders) and notification (via
tactile actuators) under conditions of poor visibility. “Personal
Radar” is not ’yet another’ belt-like tactile feedback system
used for walking navigation, the unique feature of our obstacle
scanning
and notification solution is, that it is self-contained
and fully self-governed. User studies have confirmed that using
“Personal Radar” can increase safety in close proximity to unseen
obstacles by reducing the movement speed in that region. To
compensate for this speed reduction, studies demonstrated a speed
up
in walking pace in regions distant to obstacles as compared
to subjects moving sightlessly and without technology assistance.
Finally, evaluation revealed that learning increases utilization
performance of the system significantly.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the BCS HCI 2012 People & Computers XXVI, September 12-14, 2012, Birmingham, UK |
| Publisher | BCS |
| Pages | 147-156 |
| Publication status | Published - Sept 2012 |
Fields of science
- 102 Computer Sciences
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102019 Machine learning
- 102020 Medical informatics
- 102021 Pervasive computing
- 102022 Software development
- 102025 Distributed systems
- 202017 Embedded systems
- 211902 Assistive technologies
- 211912 Product design
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)
Projects
- 1 Finished
-
SOCIONICAL - Complex Socio-Technical System in Ambient Intelligence
Riener, A. (Researcher) & Ferscha, A. (PI)
01.02.2009 → 31.01.2013
Project: Funded research › EU - European Union
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