Wearable interfaces for orientation and wayfinding
Assets '00 Proceedings of the fourth international ACM conference on Assistive technologies
A Model-Based, Open Architecture for Mobile, Spatially Aware Applications
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Drishti: An Integrated Indoor/Outdoor Blind Navigation System and Service
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Design and development of an indoor navigation and object identification system for the blind
Assets '04 Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility
Navigation System for the Blind: Auditory Display Modes and Guidance
Presence: Teleoperators and Virtual Environments
Using bat-modelled sonar as a navigational tool in virtual environments
International Journal of Human-Computer Studies
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009
A mobile navigation and orientation system for blind users in a metrobus environment
W2GIS'11 Proceedings of the 10th international conference on Web and wireless geographical information systems
Markerless localization for blind users using computer vision and particle swarm optimization
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Self-localization using fixations as landmarks
Proceedings of the Symposium on Eye Tracking Research and Applications
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In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects stored within 3D environment models. In this paper we present a new method for interactive tracking of various types of movable objects. The state of fixed movable objects, like doors, can be recognized by comparing the distance between sensor data and a 3D model. For the identification and model-based tracking of free movable objects, like chairs, we have developed an algorithm that is similar to human perception, based on shape and color comparisons to trained objects. Further, using a common face detection algorithm, our assistant system informs the user of the presence of people, and enables the localization of a real person based on interactive tracking of virtual models of humans.