Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
Big Data for transportation and mobility: recent advances, trends and challenges
Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …
interest, specially within the transportation industry. The combination of disruptive …
E-Scooter safety: The riding risk analysis based on mobile sensing data
The emergence of shared electric scooter (E-Scooter) systems offers a new micro-mobility
mode in many urban areas worldwide. These systems have rapidly attracted numerous trips …
mode in many urban areas worldwide. These systems have rapidly attracted numerous trips …
MIT advanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automation
L Fridman, DE Brown, M Glazer, W Angell… - IEEE …, 2019 - ieeexplore.ieee.org
Today, and possibly for a long time to come, the full driving task is too complex an activity to
be fully formalized as a sensing-acting robotics system that can be explicitly solved through …
be fully formalized as a sensing-acting robotics system that can be explicitly solved through …
Cognitive load estimation in the wild
Cognitive load has been shown, over hundreds of validated studies, to be an important
variable for understanding human performance. However, establishing practical, non …
variable for understanding human performance. However, establishing practical, non …
Automated vehicle data pipeline for accident reconstruction: New insights from LiDAR, camera, and radar data
As automated vehicles are deployed across the world, it has become critically important to
understand how these vehicles interact with each other, as well as with other conventional …
understand how these vehicles interact with each other, as well as with other conventional …
Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment
The aim of this article is to review and analyse previous academic articles associated with
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …
Detecting road surface wetness from audio: A deep learning approach
We introduce a recurrent neural network architecture for automated road surface wetness
detection from audio of tire-surface interaction. The robustness of our approach is evaluated …
detection from audio of tire-surface interaction. The robustness of our approach is evaluated …
A systematic review on sensor-based driver behaviour studies: Coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future …
In the plan and development of Intelligent Transportation Systems (ITS), understanding
drivers behaviour is considered highly valuable. Reckless driving, incompetent preventive …
drivers behaviour is considered highly valuable. Reckless driving, incompetent preventive …
Automated time synchronization of cough events from multimodal sensors in mobile devices
Tracking the type and frequency of cough events is critical for monitoring respiratory
diseases. Coughs are one of the most common symptoms of respiratory and infectious …
diseases. Coughs are one of the most common symptoms of respiratory and infectious …