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Open AccessProceedings ArticleDOI

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

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TLDR
In this article, the authors explore the tension between sighted and blind people with wearable cameras, taking into account camera visibility, in-person versus remote experience, and extracted visual information.
Abstract
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.

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Citations
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Journal ArticleDOI

GEME: Dual-stream multi-task GEnder-based micro-expression recognition

TL;DR: The current study proves that selecting relevant features of micro-expressions distinctive to the gender and added to the micro-expression features improves themicro-expression recognition accuracy.
Proceedings ArticleDOI

Privacy Considerations of the Visually Impaired with Camera Based Assistive Technologies: Misrepresentation, Impropriety, and Fairness

TL;DR: Whether information about bystanders was gathered from the front of the glasses or all directions was found that PVIs considered it as ‘fair’ and equally useful to receive information from all directions, however, they reported being uncomfortable in receiving some visually apparent information about observers as they felt it was ‘impolite’ or ‘improper’.
Journal ArticleDOI

Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections

TL;DR: An assistive system called CAS (Crossing Assistance System) is proposed which extends the principle of the BLE (Bluetooth Low Energy) RSSI (Received Signal Strength Indicator) signal for outdoor and indoor location tracking and overcomes the intrinsic limitation of outdoor noise to enable us to locate the user effectively.
Proceedings ArticleDOI

Visual Content Considered Private by People Who are Blind

TL;DR: An empirical study into the visual content people who are blind consider to be private and a taxonomy of private visual content that is reflective of participants’ privacy-related concerns and values are presented.
Journal ArticleDOI

Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mapping

TL;DR: In this article , a systematic mapping review is mainly focused on the scene understanding aspect (e.g., object recognition and obstacle detection) of assistive solutions, and an overview of the current challenges and a comparison between different solutions is provided to indicate the pros and cons of existing approaches.
References
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Proceedings ArticleDOI

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

TL;DR: This paper presents arguably the most extensive experimental evaluation against all recent state-of-the-art face recognition methods on ten face recognition benchmarks, and shows that ArcFace consistently outperforms the state of the art and can be easily implemented with negligible computational overhead.
Journal ArticleDOI

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

TL;DR: Zhang et al. as mentioned in this paper proposed a deep cascaded multitask framework that exploits the inherent correlation between detection and alignment to boost up their performance, which leverages a cascaded architecture with three stages of carefully designed deep convolutional networks to predict face and landmark location in a coarse-to-fine manner.
Posted Content

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

TL;DR: This article proposed an additive angular margin loss (ArcFace) to obtain highly discriminative features for face recognition, which has a clear geometric interpretation due to the exact correspondence to the geodesic distance on the hypersphere.
Journal ArticleDOI

The Media and Technology Usage and Attitudes Scale: An empirical investigation

TL;DR: The new Media and Technology Usage and Attitudes Scale was suggested as a method of measuring media and technology involvement across a variety of types of research studies either as a single 60-item scale or any subset of the 15 subscales.
Proceedings ArticleDOI

Usable gestures for mobile interfaces: evaluating social acceptability

TL;DR: The studies described in this paper begin to look at the social acceptability of a set of gestures with re-spect to location and audience in order to investigate ways of measuring socialacceptability.
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