Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey

By Dimitrios Dakopoulos, Nikolaos G. Bourbakis. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 2010

694 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3a5a716dabb5396600cecb83d8e6d3f1f68e1d77

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. David J. Crandall
2. Hernisa Kacorri
3. Kyungjun Lee

In Human-Computer Interaction

1. David J. Crandall
2. Hernisa Kacorri
3. Kyungjun Lee

Citations in the corpus

• A Survey of Wearable Devices and Challenges (2017, background): “Some work look into the use of wearable sensors in specific applications in the likes of health monitoring and prognosis [15]–[17], activity recognition [18], and assisted living [19].”
• Sensor-Based Assistive Devices for Visually-Impaired People: Current Status, Challenges, and Future Directions (2017, background): “However, regardless of the services that are provided by any particular system, there are some basic features required in that system to offer a fair performance.”
• Privacy Concerns and Behaviors of People with Visual Impairments (2015, background): “Shilkrot et al. [26] present a handheld device to support reading text, while other researchers [7,9,34] have designed navigational tools for the visually impaired.”
• “Hands On” Visual Recognition for Visually Impaired Users (2017, background): “…are able to assist users with visual impairment in order to address navigation and obstacle avoidance (Zhang et al. 2008; Giudice and Legge 2008; Dakopoulos and Bourbakis 2010; Manduchi and Coughlan 2012; Ye et al. 2014; Mekhalfi et al. 2016); wayfinding (Coughlan et al. 2006; Coughlan and…”
• Computer Vision and Image Understanding Computer Vision for Assistive Technologies (neutral): “…knowledge to build advanced technologies in order to meet the needs of diverse AT' application contexts ( Bishop, 2014; Bourbakis et al., 2015; Dakopoulos and Bourbakis, 2010; Jo et al., 2014; Lancioni and Singh, 2014; Murphy and Darrah, 2015; Pawluk et al., 2015b; Velázquez, 2010;…”