Matching Items (5)
Filtering by

Clear all filters

158127-Thumbnail Image.png

Accessible Retail Shopping For The Visually Impaired Using Deep Learning

Description
Over the past decade, advancements in neural networks have been instrumental in achieving remarkable breakthroughs in the field of computer vision. One of the applications is in creating assistive technology to improve the lives of visually impaired people by making the world around them more accessible. A lot of research…

Over the past decade, advancements in neural networks have been instrumental in achieving remarkable breakthroughs in the field of computer vision. One of the applications is in creating assistive technology to improve the lives of visually impaired people by making the world around them more accessible. A lot of research in convolutional neural networks has led to human-level performance in different vision tasks including image classification, object detection, instance segmentation, semantic segmentation, panoptic segmentation and scene text recognition. All the before mentioned tasks, individually or in combination, have been used to create assistive technologies to improve accessibility for the blind.

This dissertation outlines various applications to improve accessibility and independence for visually impaired people during shopping by helping them identify products in retail stores. The dissertation includes the following contributions; (i) A dataset containing images of breakfast-cereal products and a classifier using a deep neural (ResNet) network; (ii) A dataset for training a text detection and scene-text recognition model; (iii) A model for text detection and scene-text recognition to identify product images using a user-controlled camera; (iv) A dataset of twenty thousand products with product information and related images that can be used to train and test a system designed to identify products.
ContributorsPatel, Akshar (Author) / Panchanathan, Sethuraman (Thesis advisor) / Venkateswara, Hemanth (Thesis advisor) / McDaniel, Troy (Committee member) / Arizona State University (Publisher)
Created2020
157794-Thumbnail Image.png

Building an Inclusive Library through Staff Accessibility Training

Description
Libraries provide a needed third place for students to engage with their peers and faculty, both academically and socially. Staff behavior, knowledge, and skills in providing an accessible and inclusive environment are key to helping students with disabilities feel that they belong in the libraries. This makes training in disability…

Libraries provide a needed third place for students to engage with their peers and faculty, both academically and socially. Staff behavior, knowledge, and skills in providing an accessible and inclusive environment are key to helping students with disabilities feel that they belong in the libraries. This makes training in disability and accessibility awareness a necessary component of the overall program for the library. This study assessed a locally-developed, online training program for staff of all levels that was intended to improve staff knowledge and skills in disability etiquette, library services and spaces that support people with disabilities, and the policies that govern this work. The program used the four-part Deines-Jones (1999) model for its content and the core principles of andragogy for its instructional design. Assessment focused on changes in beliefs and knowledge using an adapted standardized scale, and evidence for learning from responses to training program questions, focus group discussions, and survey responses. Further development of the training program was informed by the principles of andragogy. Participants in the training program improved their scores in the knowledge domain but had no change in their beliefs domain. Learning was most evident in spaces where it engaged with previous knowledge and supportive customer service approaches. Participants identified and, in several cases, independently pursued new questions that were prompted by the training program. On the whole, participants found the training to be supportive and engaging, with minor changes to structure and focus recommended for the next iteration.
ContributorsVaughan, K.T. (Author) / Bernstein, Katherine (Thesis advisor) / Puckett, Kathleen (Committee member) / VanScoy, Amy (Committee member) / Arizona State University (Publisher)
Created2019
158233-Thumbnail Image.png

"I'm Having Trouble Understanding You Right Now": A Multi-Dimensional Evaluation of the Intelligibility of Dysphonic Speech

Description
Individuals with voice disorders experience challenges communicating daily. These challenges lead to a significant decrease in the quality of life for individuals with dysphonia. While voice amplification systems are often employed as a voice-assistive technology, individuals with voice disorders generally still experience difficulties being understood while using voice amplification systems.…

Individuals with voice disorders experience challenges communicating daily. These challenges lead to a significant decrease in the quality of life for individuals with dysphonia. While voice amplification systems are often employed as a voice-assistive technology, individuals with voice disorders generally still experience difficulties being understood while using voice amplification systems. With the goal of developing systems that help improve the quality of life of individuals with dysphonia, this work outlines the landscape of voice-assistive technology, the inaccessibility of state-of-the-art voice-based technology and the need for the development of intelligibility improving voice-assistive technologies designed both with and for individuals with voice disorders. With the rise of voice-based technologies in society, in order for everyone to participate in the use of voice-based technologies individuals with voice disorders must be included in both the data that is used to train these systems and the design process. An important and necessary step towards the development of better voice assistive technology as well as more inclusive voice-based systems is the creation of a large, publicly available dataset of dysphonic speech. To this end, a web-based platform to crowdsource voice disorder speech was developed to create such a dataset. This dataset will be released so that it is freely and publicly available to stimulate research in the field of voice-assistive technologies. Future work includes building a robust intelligibility estimation model, as well as employing that model to measure, and therefore enhance, the intelligibility of a given utterance. The hope is that this model will lead to the development of voice-assistive technology using state-of-the-art machine learning models to help individuals with voice disorders be better understood.
ContributorsMoore, Meredith Kay (Author) / Panchanathan, Sethuraman (Thesis advisor) / Berisha, Visar (Committee member) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Arizona State University (Publisher)
Created2020
127817-Thumbnail Image.png

Accounting for Uncertainty and Variation in Accessibility Metrics for Public Transport Sketch Planning

Description

Accessibility is increasingly used as a metric when evaluating changes to public transport systems. Transit travel times contain variation depending on when one departs relative to when a transit vehicle arrives, and how well transfers are coordinated given a particular timetable. In addition, there is necessarily uncertainty in the value…

Accessibility is increasingly used as a metric when evaluating changes to public transport systems. Transit travel times contain variation depending on when one departs relative to when a transit vehicle arrives, and how well transfers are coordinated given a particular timetable. In addition, there is necessarily uncertainty in the value of the accessibility metric during sketch planning processes, due to scenarios which are underspecified because detailed schedule information is not yet available. This article presents a method to extend the concept of "reliable" accessibility to transit to address the first issue, and create confidence intervals and hypothesis tests to address the second.
ContributorsConway, Matthew Wigginton (Author) / Byrd, Andrew (Author) / van Eggermond, Michael (Author)
Created2018-07-23
127809-Thumbnail Image.png

Evidence-Based Transit and Land Use Sketch Planning Using Interactive Accessibility Methods on Combined Schedule and Headway-Based Networks

Description

There is a need for indicators of transportation-land use system quality that are understandable to a wide range of stakeholders, and which can provide immediate feedback on the quality of interactively designed scenarios. Location-based accessibility indicators are promising candidates, but indicator values can vary strongly depending on time of day…

There is a need for indicators of transportation-land use system quality that are understandable to a wide range of stakeholders, and which can provide immediate feedback on the quality of interactively designed scenarios. Location-based accessibility indicators are promising candidates, but indicator values can vary strongly depending on time of day and transfer wait times. Capturing this variation increases complexity, slowing down calculations. We present new methods for rapid yet rigorous computation of accessibility metrics, allowing immediate feedback during early-stage transit planning, while being rigorous enough for final analyses. Our approach is statistical, characterizing the uncertainty and variability in accessibility metrics due to differences in departure time and headway-based scenario specification. The analysis is carried out on a detailed multi-modal network model including both public transportation and streets. Land use data are represented at high resolution. These methods have been implemented as open-source software running on commodity cloud infrastructure. Networks are constructed from standard open data sources, and scenarios are built in a map-based web interface. We conclude with a case study, describing how these methods were applied in a long-term transportation planning process for metropolitan Amsterdam.
ContributorsConway, Matthew Wigginton (Author) / Byrd, Andrew (Author) / van der Linden, Marco (Author)
Created2017