skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Enhancing road safety: In-vehicle sensor analysis of cognitive impairment in older drivers
With the ongoing expansion of the aging population, it is increasingly critical to prioritize the safety of older drivers. The objective of this study is to utilize sensor data in order to detect early indications of impairment, thereby facilitating proactive interventions and enhancing road safety for the elderly. This article provides an overview of the research approach, presents significant results, and analyzes the consequences of utilizing in-vehicle sensors i.e. vision and telematics, to mitigate cognitive decline among elderly drivers; in doing so, it promotes progress in the domains of public health and transportation safety by standardizing the use of such devices to automatically assess the drivers’ cognitive functions.  more » « less
Award ID(s):
2231200
PAR ID:
10571599
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ; ;
Editor(s):
Furht, Borko
Publisher / Repository:
Springer Nature
Date Published:
Journal Name:
Multimedia Tools and Applications
ISSN:
1573-7721
Subject(s) / Keyword(s):
alzheimers mild cognitive impairment in-vehicle sensors driver behaviors driver monitoring system
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; ; (, IEEE International Conference on Communications)
    Senior citizens, young children, and people with age-related diseases, often find it hard to express themselves. They are not fully aware of their need for help, or how to ask for assistance. This lack of awareness decreases the quality of life, and even endangers those individuals.IC-SAFE (Intelligent Connected Sensing Approaches for the Elderly) tracks the safety of the elderly by using various connected smart wearable sensors. IC-SAFE collects motion data, including walking gaits, arm and leg tremors, and long lounging positions, from many lightweight body sensors to identify the safety status (both physical and emotional) of dementia patients. Feasibility tests have been performed using IMU (Inertial Measurement Unit) sensors in various positions and data from these experiments has been gathered. We have proposed efficient real-time algorithms using analytical learning methods and identified several safety target scenarios by analyzing the corresponding gait data. 
    more » « less
  2. ; ; ; (, Construction Research Congress 2022)
    Recent research suggests construction workers fall prey to the cognitive biases of risk compensation, wherein workers offset safety improvements by taking more risks. Parallel previous literature indicates that time pressure and mental load may increase workers’ arousal and stress. However, it is unclear whether time, productivity, and/or cognitive demands can worsen risk compensation behaviors by stimulating workers to make riskier decisions to complete tasks faster. Combining a multi-modal mixed-reality environment with wearable neuro-psychophysiological sensors, this study examines changes in safety and task performance for high-risk electrical-line tasks simulated under time/performance pressure and cognitive demand. The results show risk-compensation is in play as subjects over-rely on safety technologies and maintain their risk perception even while undertaking more risks to adapt to increased time pressure and/or cognitive demand. This paper contributes to body of knowledge by affecting safety-training approaches and the controls needed when providing workers with safety protection and new technological advances. 
    more » « less
  3. ; ; (, Proceedings of the 2021 Institute of Industrial and Systems Engineers (IISE) Annual Conference)
    null (Ed.)
    Although driving is a complex and multitask activity, it is not unusual for drivers to engage simultaneously in other non-driving related tasks using secondary in-vehicle displays (IVIS). The use of IVIS and its potential negative safety consequences has been investigated over the years. However with the advent and advance of in-vehicle technologies such as augmented-reality head-up displays (AR HUDs), there are increasing opportunities for improving secondary task engagement and decreasing negative safety consequences. In this study, we aim to understand the effects of AR HUD low cognitive load tasks on driving performance during monotonous driving. Adapting NHTSA’s driver distraction guidelines, we conducted a user-study with twenty-four gender-balanced participants that performed secondary AR HUD tasks of different durations while driving in a monotonous environment using a medium-fidelity driving simulator. We performed a mixed-methods analysis to evaluate driver’s perceived workload (NASA-TLX), lateral, and longitudinal driving performance. Although we found that drivers subjectively perceive AR HUD tasks to have a higher cognitive demand; AR tasks resulted in improved driving performance. Conversely, the duration of the secondary tasks had no measurable impacts on performance which suggests that the amount of time spent on tasks has no negative or positive implications on driving performance. We provide evidence that there are potential benefits of secondary AR task engagement; in fact, there are situations in which AR HUDs can improve driver’s alertness and vigilance. 
    more » « less
  4. ; ; ; ; ; ; ; ; ; ; et al (, 2024 IEEE Southeast Conference)
    We proposed a Client Server Based Plastic Fiber Optic Network for an Elderly Support system in a smart home environment. The network will incorporate multimodal dialogue systems (MDS) and Artificial Intelligence (AI) systems. Existing AI models like GPT and Vicuna will be used and further trained to support the elderly in a smart home. The MDS systems, Whisper and Lavis, will act as intermediaries between the POF network of sensors and the AI systems. The systems will convert video and audio files into information that the AI systems can process and respond to. The POF network, consisting of sensors and a client-server architecture, will serve as the system's backbone. Its primary purpose is to gather data for the AI system and act based on its output. This research aims to enhance the safety, well-being, and independence of the elderly by leveraging advanced network technologies. 
    more » « less
  5. ; ; (, International Journal of Human–Computer Interaction)
    Assistive technology is extremely important for maintaining and improving the elderly’s quality of life. Biometrics-based mobile user authentication (MUA) methods have witnessed rapid development in recent years owing to their usability and security benefits. However, there is a lack of a comprehensive review of such methods for the elderly. The primary objective of this research is to analyze the literature on state-of-the-art biometrics-based MUA methods via the lens of elderly users’ accessibility needs. In addition, conducting an MUA user study with elderly participants faces significant challenges, and it remains unclear how the performance of the elderly compares with non-elderly users in biometrics-based MUA. To this end, this research summarizes method design principles for user studies involving elderly participants and reveals the performance of elderly users relative to non-elderly users in biometrics-based MUA. The article also identifies open research issues and provides suggestions for the design of effective and accessible biometrics based MUA methods for the elderly. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email