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A wearable system for detecting eating activities with proximity sensors in the outer ear

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Thad StarnerAuthors Info & Claims

ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 91 - 92

https://doi.org/10.1145/2802083.2808411

Published: 07 September 2015 Publication History

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Abstract

This paper presents an approach for automatically detecting eating activities by measuring deformations in the ear canal walls due to mastication activity. These deformations are measured with three infrared proximity sensors encapsulated in an off-the-shelf earpiece. To evaluate our method, we conducted a user study in a lab setting where 20 participants were asked to perform eating and non-eating activities. A user dependent analysis demonstrated that eating could be detected with 95.3% accuracy. This result indicates that proximity sensing offers an alternative to acoustic and inertial sensing in eating detection while providing benefits in terms of privacy and robustness to noise.

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Cited By

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Mahmud SAgarwal DAjit ALiang QViranda TGuimbretiere FZhang CKostakos VKay JHoang T(2024)MunchSonic: Tracking Fine-grained Dietary Actions through Active Acoustic Sensing on EyeglassesProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676619(96-103)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676619
Yousaf ASazonov E(2024)Food Intake Detection in the Face of Limited Sensor Signal Annotations2024 Tenth International Conference on Communications and Electronics (ICCE)10.1109/ICCE62051.2024.10634684(351-356)Online publication date: 31-Jul-2024
https://doi.org/10.1109/ICCE62051.2024.10634684
Alsafery WRana OPerera C(2023)Sensing within Smart Buildings: A SurveyACM Computing Surveys10.1145/359660055:13s(1-35)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3596600
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Index Terms

A wearable system for detecting eating activities with proximity sensors in the outer ear
1. Human-centered computing

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Published In

ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

September 2015

223 pages

ISBN:9781450335782

DOI:10.1145/2802083

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Kristof Van Laerhoven,
Tsutomu Terada

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Short-paper

Conference

UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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Overall Acceptance Rate 38 of 196 submissions, 19%

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Cited By

View all

Mahmud SAgarwal DAjit ALiang QViranda TGuimbretiere FZhang CKostakos VKay JHoang T(2024)MunchSonic: Tracking Fine-grained Dietary Actions through Active Acoustic Sensing on EyeglassesProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676619(96-103)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676619
Yousaf ASazonov E(2024)Food Intake Detection in the Face of Limited Sensor Signal Annotations2024 Tenth International Conference on Communications and Electronics (ICCE)10.1109/ICCE62051.2024.10634684(351-356)Online publication date: 31-Jul-2024
https://doi.org/10.1109/ICCE62051.2024.10634684
Alsafery WRana OPerera C(2023)Sensing within Smart Buildings: A SurveyACM Computing Surveys10.1145/359660055:13s(1-35)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3596600
Leng ZJain YKwon HPloetz T(2023)On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity RecognitionProceedings of the 2023 ACM International Symposium on Wearable Computers10.1145/3594738.3611364(55-59)Online publication date: 8-Oct-2023
https://dl.acm.org/doi/10.1145/3594738.3611364
Ghosh TSazonov E(2023)Passive Sensors for Detection of Food IntakeEncyclopedia of Sensors and Biosensors10.1016/B978-0-12-822548-6.00086-8(218-234)Online publication date: 2023
https://doi.org/10.1016/B978-0-12-822548-6.00086-8
Sabry FEltaras TLabda WAlzoubi KMalluhi Q(2022)Machine Learning for Healthcare Wearable Devices: The Big PictureJournal of Healthcare Engineering10.1155/2022/46539232022(1-25)Online publication date: 18-Apr-2022
https://doi.org/10.1155/2022/4653923
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314
Zhang RZhang JGade NCao PKim SYan JZhang C(2022)EatingTrakProceedings of the ACM on Human-Computer Interaction10.1145/35467496:MHCI(1-22)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3546749
Jain YKwon HPloetz T(2022)On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist SensorsAdjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers10.1145/3544793.3560337(50-52)Online publication date: 11-Sep-2022
https://dl.acm.org/doi/10.1145/3544793.3560337
Shin JLee SGong TYoon HRoh HBianchi ALee S(2022)MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass FrameProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502041(1-17)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502041
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Detecting Eating Episodes by Tracking Jawbone Movements with a Non-Contact Wearable Sensor

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