The FindIT Flashlight: Responsive Tagging Based on Optically Triggered Microprocessor Wakeup
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Talking braille: a wireless ubiquitous computing network for orientation and wayfinding
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
A Multi-Camera Pose Tracker for Assisting the Visually Impaired
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Design and Implementation of a Dual-Camera Wireless Sensor Network for Object Retrieval
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
An alternative information web for visually impaired users in developing countries
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Software engineering for health education and care delivery systems: The Smart Condo project
SEHC '09 Proceedings of the 2009 ICSE Workshop on Software Engineering in Health Care
Alternative information web for visually impaired users in developing countries
IBM Journal of Research and Development
Find my stuff: a search engine for everyday objects
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
Find my stuff: supporting physical objects search with relative positioning
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
BlueView: a perception assistant system for the visually impaired
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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Finding lost items is a common problem for the visually impaired and is something that computing technology can help alleviate. In this paper, we present the design and evaluation of a mobile solution, called FETCH, for allowing the visually impaired to track and locate objects they lose frequently but for which they do not have a specific strategy for tracking. FETCH uses devices the user already owns, such as their cell phone or laptop, to locate objects around their house. Results from a focus group with visually impaired users informed the design of the system. We then studied the usability of a laptop solution in a laboratory study and studied the usability and usefulness of the system through a one-month deployment and diary study. These studies demonstrate that FETCH is usable and useful, but there is still room for improvement.