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Hand-Over-Face Input Sensing for Interaction with Smartphones through the Built-in Camera

Authors:

Mona Hosseinkhani Loorak,

Wei LiAuthors Info & Claims

MobileHCI '19: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 32, Pages 1 - 12

https://doi.org/10.1145/3338286.3340143

Published: 01 October 2019 Publication History

Abstract

This paper proposes using face as a touch surface and employing hand-over-face (HOF) gestures as a novel input modality for interaction with smartphones, especially when touch input is limited. We contribute InterFace, a general system framework that enables the HOF input modality using advanced computer vision techniques. As an examplar of the usage of this framework, we demonstrate the feasibility and usefulness of HOF with an Android application for improving single-user and group selfie-taking experience through providing appearance customization in real-time. In a within-subjects study comparing HOF against touch input for single-user interaction, we found that HOF input led to significant improvements in accuracy and perceived workload, and was preferred by the participants. Qualitative results of an observational study also demonstrated the potential of HOF input modality to improve the user experience in multi-user interactions. Based on the lessons learned from our studies, we propose a set of potential applications of HOF to support smartphone interaction. We envision that the affordances provided by the this modality can expand the mobile interaction vocabulary and facilitate scenarios where touch input is limited or even not possible.

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Cited By

Liu MBello HZhou BLukowicz PKarolus J(2024)iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance SensingProceedings of the Augmented Humans International Conference 202410.1145/3652920.3652923(131-137)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3652920.3652923
Lim HZhang RPendyal SJo JZhang C(2023)D-Touch: Recognizing and Predicting Fine-grained Hand-face Touching Activities Using a Neck-mounted WearableProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584063(569-583)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584063
Yamamoto TMasai KWithana ASugiura Y(2023)Masktrap: Designing and Identifying Gestures to Transform Mask Strap into an Input InterfaceProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584062(762-775)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584062
Show More Cited By

Index Terms

Hand-Over-Face Input Sensing for Interaction with Smartphones through the Built-in Camera
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design

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cover image ACM Conferences

MobileHCI '19: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services

October 2019

646 pages

ISBN:9781450368254

DOI:10.1145/3338286

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 October 2019

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MobileHCI '19: 21st International Conference on Human-Computer Interaction with Mobile Devices and Services

October 1 - 4, 2019

Taipei, Taiwan

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https://dl.acm.org/doi/10.1145/3652920.3652923
Lim HZhang RPendyal SJo JZhang C(2023)D-Touch: Recognizing and Predicting Fine-grained Hand-face Touching Activities Using a Neck-mounted WearableProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584063(569-583)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584063
Yamamoto TMasai KWithana ASugiura Y(2023)Masktrap: Designing and Identifying Gestures to Transform Mask Strap into an Input InterfaceProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584062(762-775)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584062
Bilius LUngurean OVatavu R(2023)Understanding Wheelchair Users’ Preferences for On-Body, In-Air, and On-Wheelchair GesturesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580929(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580929
Yeo HWu EKim DLee JKim HOh STakagi LWoo WKoike HQuigley A(2023)OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional CameraProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580747(1-18)Online publication date: 19-Apr-2023
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Rizk HAmano TYamaguchi HYoussef M(2022)Cross-Subject Activity Detection for COVID-19 Infection Avoidance Based on Automatically Annotated IMU DataIEEE Sensors Journal10.1109/JSEN.2022.317629122:13(13125-13135)Online publication date: 1-Jul-2022
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Kim MBianchi A(2021)Exploring Pseudo Hand-Eye Interaction on the Head-Mounted DisplayProceedings of the Augmented Humans International Conference 202110.1145/3458709.3458960(251-258)Online publication date: 22-Feb-2021
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Weng YYu CShi YZhao YYan YShi YKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)FaceSight: Enabling Hand-to-Face Gesture Interaction on AR Glasses with a Downward-Facing Camera VisionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445484(1-14)Online publication date: 6-May-2021
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Masai KKunze KSakamoto DSugiura YSugimoto M(2020)Face Commands - User-Defined Facial Gestures for Smart Glasses2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR50242.2020.00064(374-386)Online publication date: Nov-2020
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