What do we mean by “accessibility research”? A literature survey of accessibility papers in CHI and ASSETS from 1994 to 2019
Accessibility research has grown substantially in the past few decades, yet there has been
no literature review of the field. To understand current and historical trends, we created and …
no literature review of the field. To understand current and historical trends, we created and …
A review of recent deep learning approaches in human-centered machine learning
T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …
Egoobjects: A large-scale egocentric dataset for fine-grained object understanding
Object understanding in egocentric visual data is arguably a fundamental research topic in
egocentric vision. However, existing object datasets are either non-egocentric or have …
egocentric vision. However, existing object datasets are either non-egocentric or have …
An outlook into the future of egocentric vision
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …
research in egocentric vision and the ever-anticipated future, where wearable computing …
Orbit: A real-world few-shot dataset for teachable object recognition
Object recognition has made great advances in the last decade, but predominately still relies
on many high-quality training examples per object category. In contrast, learning new …
on many high-quality training examples per object category. In contrast, learning new …
Disability-first design and creation of a dataset showing private visual information collected with people who are blind
We present the design and creation of a disability-first dataset,“BIV-Priv,” which contains 728
images and 728 videos of 14 private categories captured by 26 blind participants to support …
images and 728 videos of 14 private categories captured by 26 blind participants to support …
Gesture-aware interactive machine teaching with in-situ object annotations
Interactive Machine Teaching (IMT) systems allow non-experts to easily create Machine
Learning (ML) models. However, existing vision-based IMT systems either ignore …
Learning (ML) models. However, existing vision-based IMT systems either ignore …
Disability-first dataset creation: lessons from constructing a dataset for teachable object recognition with blind and low vision data collectors
Artificial Intelligence (AI) for accessibility is a rapidly growing area, requiring datasets that
are inclusive of the disabled users that assistive technology aims to serve. We offer insights …
are inclusive of the disabled users that assistive technology aims to serve. We offer insights …
Arnnotate: An augmented reality interface for collecting custom dataset of 3d hand-object interaction pose estimation
Vision-based 3D pose estimation has substantial potential in hand-object interaction
applications and requires user-specified datasets to achieve robust performance. We …
applications and requires user-specified datasets to achieve robust performance. We …
Data representativeness in accessibility datasets: A meta-analysis
As data-driven systems are increasingly deployed at scale, ethical concerns have arisen
around unfair and discriminatory outcomes for historically marginalized groups that are …
around unfair and discriminatory outcomes for historically marginalized groups that are …