ArticleSensors (Basel, Switzerland)2019
A Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Leveraging Wearable Sensors in Virtual Reality Driving Simulators: A Review of Techniques and Applications.Sensors (Basel, Switzerland) · 2024Pooled it
- Driving-Context Classification from Wearable Physiological and Motion Signals During Real-World Driving.Sensors (Basel, Switzerland) · 2026Article
- Development and Validation of an IMU Sensor-Based Behaviour-Alert Detection Collar for Assistance Dogs: A Proof-of-Concept Study.Animals : an open access journal from MDPI · 2025Article
- Analysis of Musculoskeletal Biomechanics of Lower Limbs of Drivers in Pedal-Operation States.Sensors (Basel, Switzerland) · 2023Article
- Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors.Sensors (Basel, Switzerland) · 2022Article
- Dashboard Layout Effects on Drivers' Searching Performance and Heart Rate: Experimental Investigation and Prediction.Frontiers in public health · 2022Article
- Design of Smart Steering Wheel for Unobtrusive Health and Drowsiness Monitoring.Sensors (Basel, Switzerland) · 2021Article
- Electromyography-Driven Exergaming in Wheelchairs on a Mobile Platform: Bench and Pilot Testing of the WOW-Mobile Fitness System.JMIR rehabilitation and assistive technologies · 2021Article
- Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator.Sensors (Basel, Switzerland) · 2020Article
- Identifying modeling forms of instrument panel system in intelligent shared cars: a study for perceptual preference and in-vehicle behaviors.Environmental science and pollution research international · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform and its synchronized working with a driving simulator. The Android app can monitor drivers and their parameters can be used to analyze the relation between their physiological states and driving performance. The app can configure, select, receive, process, represent graphically, and store the signals from electrocardiogram (ECG), electromyogram (EMG) and galvanic skin response (GSR) modules and accelerometers, a magnetometer and a gyroscope. The Android app is synchronized in two steps with a driving simulator that we previously developed using the Unity game engine to analyze driving security and efficiency. The Android app was tested with different sensors working simultaneously at various sampling rates and in different Android devices. We also tested the synchronized working of the driving simulator and the Android app with 25 people and analyzed the relation between data from the ECG, EMG, GSR, and gyroscope sensors and from the simulator. Among others, some significant correlations between a gyroscope-based feature calculated by the Android app and vehicle data and particular traffic offences were found. The Android app can be applied with minor adaptations to other different users such as patients with chronic diseases or athletes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.