AIoT-Based Smart Healthcare in Everyday Lives: Data Collection and Standardization From Smartphones and Smartwatches
Geonwoo Ji, Jiyoung Woo, Geon Lee, Constantino Msigwa, Denis Bernard, Jaeseok Yun
Abstract
AIoT-based smart healthcare system that utilize smart devices can provide personalized, proactive care to patients, reducing the reliance on limited medical service capacities and promoting everyday health management. However, the lack of compatibility in health data formats and services across devices from different manufacturers hinders the growth of AIoT-based healthcare services. To address this issue, we propose a unified system for the collection of raw sensor data from smart devices (i.e., smartphones, smartwatches) of various manufacturers as well as health survey data. The data collection application part of our system is available on Android, Wear OS and iOS, and stores data on a oneM2M-based IoT platform via REST APIs. Using the system, we collected data from 300 participants over the course of 60 days. After collecting the data, we analyzed the dataset and then proposed a method to archive health-related lifelog in a standardized manner following the Fast Healthcare Interoperability Resources (FHIR) protocol. With our proposed method, we envision cohort monitoring for smart healthcare services. We expect that our system will improve data compatibility across different devices and facilitate the growth of AIoT-based healthcare services.