research-article

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users

Authors:

Shishir G. Patil,

Don Kurian Dennis,

Chirag Pabbaraju,

Nadeem Shaheer,

Harsha Vardhan Simhadri,

Vivek Seshadri,

Prateek JainAuthors Info & Claims

UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

Pages 403 - 415

https://doi.org/10.1145/3332165.3347881

Published: 17 October 2019 Publication History

Abstract

People using white canes for navigation find it challenging to concurrently access devices such as smartphones. Building on prior research on abandonment of specialized devices, we explore a new touch free mode of interaction wherein a person with visual impairment can perform gestures on their existing white cane to trigger tasks on their smartphone. We present GesturePod, an easy-to-integrate device that clips on to any white cane, and detects gestures performed with the cane. With GesturePod, a user can perform common tasks on their smartphone without touch or even removing the phone from their pocket or bag. We discuss the challenges in building the device and our design choices. We propose a novel, efficient machine learning pipeline to train and deploy the gesture recognition model. Our in-lab study shows that GesturePod achieves 92% gesture recognition accuracy and can help perform common smartphone tasks faster. Our in-wild study suggests that GesturePod is a promising tool to improve smartphone access for people with VI, especially in constrained outdoor scenarios.

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Cited By

Gupta CSridhar SMatthies DJouffrais CNanayakkara S(2024)SonicVista: Towards Creating Awareness of Distant Scenes through SonificationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596098:2(1-32)Online publication date: 15-May-2024
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Index Terms

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users
1. Human-centered computing

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cover image ACM Conferences

UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

October 2019

1229 pages

ISBN:9781450368162

DOI:10.1145/3332165

General Chair:
François Guimbretière
Cornell University, USA
,
Program Chairs:
Michael Bernstein
Stanford University, USA
,
Katharina Reinecke
University of Washington, USA

Copyright © 2019 ACM.

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Published: 17 October 2019

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https://dl.acm.org/doi/10.1145/3659609
Singh GNadir MThukral RGambhir VChanana PPaul R(2024)An Embedded AI System for Predicting and Correcting the Sensor-Orientation of an Electronic Travel Aid During Use by a Visually Impaired PersonComputers Helping People with Special Needs10.1007/978-3-031-62846-7_53(444-453)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1007/978-3-031-62846-7_53
Zhan QYao ZGuo L(2024)Supporting Parent-Child Interactions in Child Riding: Exploring Design Opportunities for Digital Interaction StrategiesHCI International 2024 Posters10.1007/978-3-031-61932-8_13(102-111)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-61932-8_13
Mai CXie DZeng LLi ZLi ZQiao ZQu YLiu GLi L(2023)Laser Sensing and Vision Sensing Smart Blind Cane: A ReviewSensors10.3390/s2302086923:2(869)Online publication date: 12-Jan-2023
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