Smart Wearable and Application for Health Monitoring Purposes Utilizing Arduino Sensors

Health is a human state in which individuals can function well to express their potential within their environment. Understanding the importance of health is crucial to maintain a good health. Consistent health monitoring is essential to assess an individual’s well-being. But health monitoring processes remains as an inefficient and inconvenient process for most people. Aside from that, there are a necessity to detect falls and emergency due to the situations are commonly unnoticed and could lead to fatalities. Hence, this research aims to explore IoT solutions, such as Arduino sensors, to create a solution in form of smart bracelet and smart pocket wearable that is integrated into a mobile application to enhance the efficiency of health monitoring process and life emergency response. Various Arduino sensors could be implemented as a solution to inconvenient health monitoring, falls, and emergency. Arduino sensors are affordable which could be an effective solution for the problems arise within the user groups. The sensors and modules that are capable of measuring vital signs and supporting life emergency features has gone through unit testing process with the accuracy rate of 100%. This shows that the sensors and modules work properly and ready to be implemented into the smart wearable.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icitsi65188.2024.10929449
Citations
1
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Wearable and Application for Health Monitoring Purposes Utilizing Arduino Sensors

Octavia Octavia, Win Ce
1 citations
Context-Aware Activity Recognition Systems
0.25
article

Smart Wearable and Application for Health Monitoring Purposes Utilizing Arduino Sensors

Octavia Octavia, Win Ce
article en
1 citations

Abstract

Health is a human state in which individuals can function well to express their potential within their environment. Understanding the importance of health is crucial to maintain a good health. Consistent health monitoring is essential to assess an individual’s well-being. But health monitoring processes remains as an inefficient and inconvenient process for most people. Aside from that, there are a necessity to detect falls and emergency due to the situations are commonly unnoticed and could lead to fatalities. Hence, this research aims to explore IoT solutions, such as Arduino sensors, to create a solution in form of smart bracelet and smart pocket wearable that is integrated into a mobile application to enhance the efficiency of health monitoring process and life emergency response. Various Arduino sensors could be implemented as a solution to inconvenient health monitoring, falls, and emergency. Arduino sensors are affordable which could be an effective solution for the problems arise within the user groups. The sensors and modules that are capable of measuring vital signs and supporting life emergency features has gone through unit testing process with the accuracy rate of 100%. This shows that the sensors and modules work properly and ready to be implemented into the smart wearable.

Binus University (ID)
Openalex Percentile: Top 41%
Context-Aware Activity Recognition Systems
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.