Proposal of Vital Data Analysis Platform using Wearable Sensor
Yoji Yamato

TL;DR
This paper introduces a vital data analysis platform utilizing wearable sensors to enable real-time health monitoring and actions, addressing current limitations in healthcare IoT applications.
Contribution
It presents a novel platform that collects and analyzes vital data from wearable sensors for real-time health status assessment and alerts.
Findings
Successfully implemented the platform
Analyzed vital data to detect posture and fatigue
Preparing for field testing
Abstract
In this paper, we propose a vital data analysis platform which resolves existing problems to utilize vital data for real-time actions. Recently, IoT technologies have been progressed but in the healthcare area, real-time actions based on analyzed vital data are not considered sufficiently yet. The causes are proper use of analyzing methods of stream / micro batch processing and network cost. To resolve existing problems, we propose our vital data analysis platform. Our platform collects vital data of Electrocardiograph and acceleration using an example of wearable vital sensor and analyzes them to extract posture, fatigue and relaxation in smart phones or cloud. Our platform can show analyzed dangerous posture or fatigue level change. We implemented the platform. And we are now preparing a field test.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · IoT and Edge/Fog Computing
