Paper Info
Title
FingerReader2.0: Designing and Evaluating a Wearable Finger-Worn Camera to Assist People with Visual Impairments while Shopping
Abstract
People with Visual Impairments (PVI) experience greater difficulties with daily tasks, such as supermarket shopping. Identifying and purchasing an item proves challenging for PVI. Using a user-centered design process, we understand the difficulties PVI encounter in their daily routines. Consequently, the previous FingerReader model was elevated to a new level. In contrast, FingerReader2.0 incorporates a highly integrated hardware design, as it is standalone, wearable, and not tethered to a computer. Software-wise, the prototype utilizes a deep learning system, relying on a hybrid, an on-board and a cloud-based model. The advanced design significantly extends the range of mobile assistive technology, particularly for shopping purposes. This paper presents the findings from interviews, several iterative studies, and a field study in supermarkets to demonstrate the FingerReader2.0's enhanced capabilities for those with varied levels of visual impairment.
Year
DOI
Venue
2018
10.1145/3264904
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Keywords
DocType
Volume
Accessibility,Assistive Technology,Finger-worn camera,Hybrid Deep Learning,Low vision,Supermarket Shopping,Thumb-to-finger Interaction,Wearable technology
Journal
2
Issue
ISSN
Citations 
3
2474-9567
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Roger Boldu132.87
Alexandru Dancu2508.33
Denys J. C. Matthies37514.60
Thisum Buddhika400.34
Shamane Siriwardhana500.34
Suranga Nanayakkara624446.78