Integrated Multimedia Wireless Sensor Node for Comprehensive Lifelogging and Beyond: Design, Development and Applications

This paper introduces the Integrated Multimedia Wireless Sensor Node (IMWSN), a significant advancement in environmental monitoring and lifelogging within Multimedia Wireless Sensor Networks (MWSN). MWSNs, equipped with wearable sensors, are crucial for documenting personal life experiences. However, current MWSNs often lack the ability to fully integrate data across various sensor types, including environmental, visual, and medical sensors. The IMWSN addresses this gap by providing a comprehensive view of an individual's interactions and environment. The IMWSN is composed of multiple modules: a processor module that manages the overall system efficiently, a visual module designed to capture video footage of the surroundings, an environmental module that allows for real-time monitoring of environmental conditions, and a medical module dedicated to recording health-related data of individuals, a process often known as lifelogging. These components are encased in a custom-designed 3D-printed enclosure and powered by a durable 4500mAh mobile battery. System programming and monitoring are facilitated through the user-friendly Arduino IDE, making the experience accessible and customizable. Beyond its primary function in lifelogging, the IMWSN is remarkably versatile and suited for a range of applications. It can function as an action camera, assist in forest fire monitoring, support ambient assisted living environments, and monitor patients' health and daily activities rigorously. This adaptability makes the IMWSN a valuable and essential tool in fields that require extensive data collection and sophisticated analytical capabilities, highlighting its broad potential impact.

Authors

Institutions

Publication Details

Journal
Journal of Soft Computing and Artificial Intelligence
Published
2024-11-25
DOI
https://doi.org/10.55195/jscai.1491525
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Multimedia Wireless Sensor Node for Comprehensive Lifelogging and Beyond: Design, Development and Applications

Adnan Yazıcı, Mehmet Selim Elmalı, Bektöre Elmalı
Journal of Soft Computing and Artificial Intelligence
IoT-based Smart Home Systems
article

Integrated Multimedia Wireless Sensor Node for Comprehensive Lifelogging and Beyond: Design, Development and Applications

Adnan Yazıcı, Mehmet Selim Elmalı, Bektöre Elmalı
article en

Abstract

This paper introduces the Integrated Multimedia Wireless Sensor Node (IMWSN), a significant advancement in environmental monitoring and lifelogging within Multimedia Wireless Sensor Networks (MWSN). MWSNs, equipped with wearable sensors, are crucial for documenting personal life experiences. However, current MWSNs often lack the ability to fully integrate data across various sensor types, including environmental, visual, and medical sensors. The IMWSN addresses this gap by providing a comprehensive view of an individual's interactions and environment. The IMWSN is composed of multiple modules: a processor module that manages the overall system efficiently, a visual module designed to capture video footage of the surroundings, an environmental module that allows for real-time monitoring of environmental conditions, and a medical module dedicated to recording health-related data of individuals, a process often known as lifelogging. These components are encased in a custom-designed 3D-printed enclosure and powered by a durable 4500mAh mobile battery. System programming and monitoring are facilitated through the user-friendly Arduino IDE, making the experience accessible and customizable. Beyond its primary function in lifelogging, the IMWSN is remarkably versatile and suited for a range of applications. It can function as an action camera, assist in forest fire monitoring, support ambient assisted living environments, and monitor patients' health and daily activities rigorously. This adaptability makes the IMWSN a valuable and essential tool in fields that require extensive data collection and sophisticated analytical capabilities, highlighting its broad potential impact.

Journal of Soft Computing and Artificial IntelligenceVol. 5(2)
Middle East Technical University (TR), Gazi Hastanesi (TR), Kyrgyz-Türkish Manas Üniversity (KG)
Responsible consumption and production, Life in Land
Openalex Percentile: Top 81%
IoT-based Smart Home Systems
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.