Leveling the playing field for Visually Impaired using Transport Assistant
March 06, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Gourav G. Shenoy, Mangirish A. Wagle, Kay Connelly
arXiv ID
1703.02103
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Visually impaired people face numerous challenges when it comes to transportation. Not only must they circumvent obstacles while navigating, but they also need access to essential information related to available public transport, up-to-date weather forecast, and convenient method for booking private taxis. In this paper we introduce Transport Assistant - a voice based assistive technology prototype, built with a goal of leveling the playing field for the visually impaired to solve these problems that they face in their day to day life. Being voice enabled makes it seamlessly integrate into the environment, and can be invoked by saying a hotword - hello assistant. The paper explores this research question, followed by investigating existing technologies, explains the methodology and design, then concludes by presenting the prototype and results.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted