A wearable-based preventive model to promote oral health through personalized notification

Muhammad Fahim; Vishal Sharma; Trung Q. Duong

doi:10.1109/EMBC48229.2022.9871128

A wearable-based preventive model to promote oral health through personalized notification

Muhammad Fahim^*
, Vishal Sharma
, Trung Q. Duong

^*Corresponding author for this work

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

379 Downloads (Pure)

Abstract

Wearable technology has great potential to develop human-centric healthcare applications. It reshapes our lifestyle by providing information related to physical activities, sleep monitoring, or heartbeat rhythms. In this paper, we present an innovative model for oral healthcare, which is prevention-focused to notify individuals about cleaning teeth activity. It is based on a wrist-worn accelerometer device and has two components—first, a computationally lightweight feature extractor—secondly, a robust feed-forward neural network to recognize the cleaning teeth activity. The model performance is measured using standard performance metric F_1-score (i.e., 98), which shows the applicability in a real-life scenario. The trained model can reside inside the smartwatch as a wrist-worn wearable. It would generate personalized notifications if s/he skipped the toothbrush activity. Furthermore, it notifies the users to change the toothbrush after three months, reducing the cognitive burden.

Original language	English
Title of host publication	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728127828
ISBN (Print)	9781728127835
DOIs	https://doi.org/10.1109/EMBC48229.2022.9871128
Publication status	Published - 08 Sept 2022
Event	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom Duration: 11 Jul 2022 → 15 Jul 2022

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): Proceedings
Publisher	IEEE
ISSN (Print)	2375-7477
ISSN (Electronic)	2694-0604

Conference

Conference	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Country/Territory	United Kingdom
City	Glasgow
Period	11/07/2022 → 15/07/2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Wearable device
Oral Health
Machine Learning

Access to Document

10.1109/EMBC48229.2022.9871128Licence: Unspecified

A wearable-based preventive model to promote oral health through personalized notification
Copyright 2022 IEEE. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 1 MBLicence: Unspecified

Cite this

Fahim, M., Sharma, V., & Duong, T. Q. (2022). A wearable-based preventive model to promote oral health through personalized notification. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings (Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC48229.2022.9871128

Fahim, Muhammad ; Sharma, Vishal ; Duong, Trung Q. / A wearable-based preventive model to promote oral health through personalized notification. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): Proceedings).

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abstract = "Wearable technology has great potential to develop human-centric healthcare applications. It reshapes our lifestyle by providing information related to physical activities, sleep monitoring, or heartbeat rhythms. In this paper, we present an innovative model for oral healthcare, which is prevention-focused to notify individuals about cleaning teeth activity. It is based on a wrist-worn accelerometer device and has two components—first, a computationally lightweight feature extractor—secondly, a robust feed-forward neural network to recognize the cleaning teeth activity. The model performance is measured using standard performance metric F\_1-score (i.e., 98), which shows the applicability in a real-life scenario. The trained model can reside inside the smartwatch as a wrist-worn wearable. It would generate personalized notifications if s/he skipped the toothbrush activity. Furthermore, it notifies the users to change the toothbrush after three months, reducing the cognitive burden. ",

keywords = "Wearable device, Oral Health, Machine Learning",

author = "Muhammad Fahim and Vishal Sharma and Duong, \{Trung Q.\}",

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series = "Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC): Proceedings",

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Fahim, M , Sharma, V & Duong, TQ 2022, A wearable-based preventive model to promote oral health through personalized notification. in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): Proceedings, Institute of Electrical and Electronics Engineers Inc., 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/2022. https://doi.org/10.1109/EMBC48229.2022.9871128

A wearable-based preventive model to promote oral health through personalized notification. / Fahim, Muhammad ; Sharma, Vishal ; Duong, Trung Q.
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A wearable-based preventive model to promote oral health through personalized notification

AU - Fahim, Muhammad

AU - Sharma, Vishal

AU - Duong, Trung Q.

PY - 2022/9/8

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N2 - Wearable technology has great potential to develop human-centric healthcare applications. It reshapes our lifestyle by providing information related to physical activities, sleep monitoring, or heartbeat rhythms. In this paper, we present an innovative model for oral healthcare, which is prevention-focused to notify individuals about cleaning teeth activity. It is based on a wrist-worn accelerometer device and has two components—first, a computationally lightweight feature extractor—secondly, a robust feed-forward neural network to recognize the cleaning teeth activity. The model performance is measured using standard performance metric F_1-score (i.e., 98), which shows the applicability in a real-life scenario. The trained model can reside inside the smartwatch as a wrist-worn wearable. It would generate personalized notifications if s/he skipped the toothbrush activity. Furthermore, it notifies the users to change the toothbrush after three months, reducing the cognitive burden.

AB - Wearable technology has great potential to develop human-centric healthcare applications. It reshapes our lifestyle by providing information related to physical activities, sleep monitoring, or heartbeat rhythms. In this paper, we present an innovative model for oral healthcare, which is prevention-focused to notify individuals about cleaning teeth activity. It is based on a wrist-worn accelerometer device and has two components—first, a computationally lightweight feature extractor—secondly, a robust feed-forward neural network to recognize the cleaning teeth activity. The model performance is measured using standard performance metric F_1-score (i.e., 98), which shows the applicability in a real-life scenario. The trained model can reside inside the smartwatch as a wrist-worn wearable. It would generate personalized notifications if s/he skipped the toothbrush activity. Furthermore, it notifies the users to change the toothbrush after three months, reducing the cognitive burden.

KW - Wearable device

KW - Oral Health

KW - Machine Learning

U2 - 10.1109/EMBC48229.2022.9871128

DO - 10.1109/EMBC48229.2022.9871128

M3 - Conference contribution

SN - 9781728127835

T3 - Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): Proceedings

BT - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022

Y2 - 11 July 2022 through 15 July 2022

ER -

Fahim M , Sharma V , Duong TQ. A wearable-based preventive model to promote oral health through personalized notification. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): Proceedings). doi: 10.1109/EMBC48229.2022.9871128

A wearable-based preventive model to promote oral health through personalized notification

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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