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

Assistive Technology Update Podcast

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.
  • Paper (coming soon)
  • Assistive Technology Update Podcast Episode
  • Bibtex entry:
    @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},
    }