Optimizing Highly Automated Driving Systems for People with Cognitive Disabilities

This is a collaborative project between the University of Kansas (KU), the University of Florida (UF) and the University of Kansas Medical Center (KUMC).

Project Main Webpage

Abstract

The goal of this project is to develop innovative ADS designs that operate at Levels 4 and 5 for people with mild cognitive impairment (MCI) and mild to moderate dementia. The team proposes an integrated system solution comprised of a mobile secure app, a traveler monitoring system, an automated in-vehicle agent, and a cloud framework for real-time analytics. The team will develop a physical prototype consisting of a full-size vehicle equipped with the developed interfaces and sensors.

We acknowledge funding from: USDOT Inclusive Design Challenge “Optimizing Highly Automated Driving Systems for People with Cognitive Disabilities” (2021-2022).

Outreach

Assistive Technology Update Podcast

Assistive Technology Update with Josh Anderson: ATU558 – Optimizing Highly Automated Driving Systems for People with Cognitive Disabilities with Dr. Alexandra Kondyli and Dr. Sanaz Motamedi on Apple Podcasts

Publications

Optimizing Automated Driving Systems for People with Cognitive Impairments

Optimizing Automated Driving Systems for People with Cognitive Impairments. Koon, L., Akinwuntan, A., Bhattacharya, S., Davidow, A., Davidson, A., Depcik, C., Devos, H., Eskandar, M., Giang, W., Haug, J., Hu, B., Jain, E., Kondyli, A., Kumar, D., Liu, Y., Motamedi, S., Yao, H., Zhao, X. Refereed Abstract. Accepted for presentation at the Rehabilitation Engineering and Assistive Technology Society of North America (RESNA) Conference, July, 2022.

@inproceedings{koon2022optimizing,
title = {Optimizing Automated Driving Systems for People with Cognitive Impairments},
author={Koon, L., Akinwuntan, A., Bhattacharya, S., Davidow, A., Davidson, A., Depcik, C., Devos, H., Eskandar, M., Giang, W., Haug, J., Hu, B., Jain, E., Kondyli, A., Kumar, D., Liu, Y., Motamedi, S., Yao, H., Zhao, X.},
booktitle={Rehabilitation Engineering and Assistive Technology Society of North America (RESNA)},
year={2022},
}

 

In-vehicle alertness monitoring for older adults

In-vehicle alertness monitoring for older adults. Heng Yao, Sanaz Motamedi, Wayne C.W. Giang, Alexandra Kondyli, Eakta Jain. arxiv preprint arXiv:2208.08091, 2022.

@misc{yao_alertness_2022,
doi = {10.48550/ARXIV.2208.08091},
url = {https://arxiv.org/abs/2208.08091},
author = {Yao, Heng and Motamedi, Sanaz and Giang, Wayne C. W. and Kondyli, Alexandra and Jain, Eakta},
keywords = {Computer Vision and Pattern Recognition (cs.CV), Human-Computer Interaction (cs.HC), FOS: Computer and information sciences, FOS: Computer and information sciences, I.5.4; H.5.2},
title = {In-vehicle alertness monitoring for older adults},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution Share Alike 4.0 International}
}