Privacy-Preserving Data Collection Scheme on Smartwatch Platform

Jong Wook Kim; Jong Hyun Lim; Su Mee Moon; Hoon Yoo; Beakcheol Jang

doi:10.1109/ICCE.2019.8662001

Privacy-Preserving Data Collection Scheme on Smartwatch Platform

Jong Wook Kim, Jong Hyun Lim, Su Mee Moon, Hoon Yoo, Beakcheol Jang

Graduate School of Information

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

1 Citation (Scopus)

Abstract

In recent years, smartwatches, which are the most representative wearable device exploiting Internet of things technologies, have been developed and used. With growing use of smartwatches in the healthcare field, there have been considerable efforts to use diverse smartwatch sensor data such as heart rates and body temperatures with the aim of improving healthcare services. However, because the data collected from smartwatches usually contain sensitive user information, individual users are reluctant to provide their data to healthcare service providers because of privacy concerns. Thus, to support such healthcare service provider needs, a method capable of collecting individuals' sensitive data from smartwatches, while preserving privacy, is presented. Preliminary experimental results demonstrate that the proposed approach is well suited to the collection of smartwatch users' sensitive data for the purpose of inferring population statistics while preserving privacy.

Original language	English
Title of host publication	2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538679104
DOIs	https://doi.org/10.1109/ICCE.2019.8662001
Publication status	Published - 2019 Mar 6
Event	2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States Duration: 2019 Jan 11 → 2019 Jan 13

Publication series

Name	2019 IEEE International Conference on Consumer Electronics, ICCE 2019

Conference

Conference	2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Country	United States
City	Las Vegas
Period	19/1/11 → 19/1/13

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.2017-0-01703, Wireless Transmission System for Full-Parallax Multiview) and in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.2018-0-00269, A research on safe and convenient big data processing methods).

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering
Media Technology
Electrical and Electronic Engineering

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10.1109/ICCE.2019.8662001

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Kim, J. W., Hyun Lim, J., Moon, S. M., Yoo, H., & Jang, B. (2019). Privacy-Preserving Data Collection Scheme on Smartwatch Platform. In 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 [8662001] (2019 IEEE International Conference on Consumer Electronics, ICCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2019.8662001

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title = "Privacy-Preserving Data Collection Scheme on Smartwatch Platform",

abstract = "In recent years, smartwatches, which are the most representative wearable device exploiting Internet of things technologies, have been developed and used. With growing use of smartwatches in the healthcare field, there have been considerable efforts to use diverse smartwatch sensor data such as heart rates and body temperatures with the aim of improving healthcare services. However, because the data collected from smartwatches usually contain sensitive user information, individual users are reluctant to provide their data to healthcare service providers because of privacy concerns. Thus, to support such healthcare service provider needs, a method capable of collecting individuals' sensitive data from smartwatches, while preserving privacy, is presented. Preliminary experimental results demonstrate that the proposed approach is well suited to the collection of smartwatch users' sensitive data for the purpose of inferring population statistics while preserving privacy.",

author = "Kim, {Jong Wook} and {Hyun Lim}, Jong and Moon, {Su Mee} and Hoon Yoo and Beakcheol Jang",

note = "Funding Information: ACKNOWLEDGMENT This work was supported in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.2017-0-01703, Wireless Transmission System for Full-Parallax Multiview) and in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.2018-0-00269, A research on safe and convenient big data processing methods). Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 ; Conference date: 11-01-2019 Through 13-01-2019",

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doi = "10.1109/ICCE.2019.8662001",

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Kim, JW, Hyun Lim, J, Moon, SM, Yoo, H & Jang, B 2019, Privacy-Preserving Data Collection Scheme on Smartwatch Platform. in 2019 IEEE International Conference on Consumer Electronics, ICCE 2019., 8662001, 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Las Vegas, United States, 19/1/11. https://doi.org/10.1109/ICCE.2019.8662001

Privacy-Preserving Data Collection Scheme on Smartwatch Platform. / Kim, Jong Wook; Hyun Lim, Jong; Moon, Su Mee; Yoo, Hoon; Jang, Beakcheol.

2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8662001 (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).

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

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N1 - Funding Information: ACKNOWLEDGMENT This work was supported in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.2017-0-01703, Wireless Transmission System for Full-Parallax Multiview) and in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.2018-0-00269, A research on safe and convenient big data processing methods). Publisher Copyright: © 2019 IEEE.

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N2 - In recent years, smartwatches, which are the most representative wearable device exploiting Internet of things technologies, have been developed and used. With growing use of smartwatches in the healthcare field, there have been considerable efforts to use diverse smartwatch sensor data such as heart rates and body temperatures with the aim of improving healthcare services. However, because the data collected from smartwatches usually contain sensitive user information, individual users are reluctant to provide their data to healthcare service providers because of privacy concerns. Thus, to support such healthcare service provider needs, a method capable of collecting individuals' sensitive data from smartwatches, while preserving privacy, is presented. Preliminary experimental results demonstrate that the proposed approach is well suited to the collection of smartwatch users' sensitive data for the purpose of inferring population statistics while preserving privacy.

AB - In recent years, smartwatches, which are the most representative wearable device exploiting Internet of things technologies, have been developed and used. With growing use of smartwatches in the healthcare field, there have been considerable efforts to use diverse smartwatch sensor data such as heart rates and body temperatures with the aim of improving healthcare services. However, because the data collected from smartwatches usually contain sensitive user information, individual users are reluctant to provide their data to healthcare service providers because of privacy concerns. Thus, to support such healthcare service provider needs, a method capable of collecting individuals' sensitive data from smartwatches, while preserving privacy, is presented. Preliminary experimental results demonstrate that the proposed approach is well suited to the collection of smartwatch users' sensitive data for the purpose of inferring population statistics while preserving privacy.

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Privacy-Preserving Data Collection Scheme on Smartwatch Platform

Abstract

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Bibliographical note

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