DeepAI AI Chat
Log In Sign Up

Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

by   Kyungjun Lee, et al.
University of Maryland
Association for Computing Machinery
NYU college
Carnegie Mellon University

Blind people have limited access to information about their surroundings, which is important for ensuring one's safety, managing social interactions, and identifying approaching pedestrians. With advances in computer vision, wearable cameras can provide equitable access to such information. However, the always-on nature of these assistive technologies poses privacy concerns for parties that may get recorded. We explore this tension from both perspectives, those of sighted passersby and blind users, taking into account camera visibility, in-person versus remote experience, and extracted visual information. We conduct two studies: an online survey with MTurkers (N=206) and an in-person experience study between pairs of blind (N=10) and sighted (N=40) participants, where blind participants wear a working prototype for pedestrian detection and pass by sighted participants. Our results suggest that both of the perspectives of users and bystanders and the several factors mentioned above need to be carefully considered to mitigate potential social tensions.


Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind

The spatial behavior of passersby can be critical to blind individuals t...

Designing Conversational Multimodal 3D Printed Models with People who are Blind

3D printed models have been used to improve access to graphical informat...

Toucha11y: Making Inaccessible Public Touchscreens Accessible

Despite their growing popularity, many public kiosks with touchscreens a...

Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People

To ensure that AI-infused systems work for disabled people, we need to b...

Exploring the visualisation of hierarchical cybersecurity data within the Metaverse

A prototype Metaverse experience was created in which users could explor...

Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing

The recent emergence of deepfake videos leads to an important societal q...