Privacy-Preserving Data Collection Scheme on Smartwatch Platform

Jong Wook Kim, Jong Hyun Lim, Su Mee Moon, Hoon Yoo, Beakcheol Jang · 2019

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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