Wearable Technology for Driver Monitoring and Health Management: A Comprehensive Survey
Abstract
In recent years, the focus on driver health and its
impact on road safety has intensified. Exploring the integration
of wearable technology in driver monitoring and health
management, this paper presents a synthesis of literature surveys
on innovative approaches and significant findings. It covers
diverse studies, including real-time physiological response
assessment using smartwatches, stress detection utilizing wristworn sensors, and the monitoring of cardiovascular health.
Additionally, breakthroughs such as real-time vehicle-embedded
heart health monitoring systems and multi-sensor-based driver
health symptom detection are discussed. The potential of smart
wearables, notably smartwatches, in proactive health
management is elucidated. Furthermore, the paper highlights the
emerging trends in the field, such as the use of machine learning
algorithms for analyzing wearable sensor data and improving
predictive capabilities. The findings underscore wearable
technology's pivotal role in enhancing road safety, accident
prevention, and healthcare through continuous monitoring and
early detection of health-related issues. This paper contributes
insights into leveraging wearable technology for driver safety and
health management, offering valuable directions for future
research and development in the domain.
Keywords:
Driver Health, Road Safety, Wearable technology, Accident mitigation, Driver Safety, Drowsiness detectionPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Ankith Issac Dominic, Meera Johnson, Jaida Fathima, Alaina Benny, Amritha Soloman, PARK-EZE: An IoT based Smart Parking System using DLSTM Prediction , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr nitha C Vellayudan, Akshay K.P, Muhamed Adhil P.M, C.A Sivasankar , Crop Yield and Price Prediction , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Richa Maria Biju, Merwin Maria Antony, Mishal Rose Thankachan, Joshua John Sajit, Bini M Issac, Enhancing Image Forgery Detection with Multi-Modal Deep Learning and Statistical Methods , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Alan Binoy, Sajin Santy, Hashna Mansoor, Semin Shaji, Almaria Joseph , A Blind-Friendly Navigation System Integrating RFID Technology for Enhanced Accessibility in Public Transportation , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Abhijith J, Athul Krishna S, Amarthyag P, Angela Rose Baby, Mekha Jose, CATARACT DETECTION USING DIGITAL CAMERA IMAGES , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Sandra Saji, Melbin Mathew, Angel Mariya S, Amrutha Mugesh, Jincy Lukose, MACHINE LEARNING FOR DETECTION AND PREDICTION OF TOMATO LEAF DISEASES , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anu Rose Joy, An overview of Fake News DetectionusingBidirectional Long Short-TermMemory(BiLSTM)Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Sebastian Biju, Samuel Michael, Thomas Mathew Jose, Mathew Abraham, Minu Cherian, A Review of Machine Learning Approaches for Canine Skin Disease Detection Using Image Processing Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
You may also start an advanced similarity search for this article.