A Virtual Assistant to Help Dysphagia Patients Eat Safely at Home
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4244-4244.
Abstract
For millions of people with swallowing disorders, preventing potentially deadly aspiration pneumonia requires following prescribed safe eating strategies. But adherence is poor, and caregivers' ability to encourage adherence is limited by the onerous and socially aversive need to monitoring another's eating. We have developed an early prototype for an intelligent assistant that monitors adherence and provides feedback to the patient, and tested monitoring precision with healthy subjects for one strategy called a chin tuck. Results indicate that adaptations of current generation machine vision and personal assistant technologies can effectively monitor chin tuck adherence, and suggest feasibility of a more general assistant that encourages adherence to a range of safe eating strategies.
@inproceedings{ijcai2016p642,
title = {A Virtual Assistant to Help Dysphagia Patients Eat Safely at Home},
author = {Freed, Michael and Burns, Brian and Heller, Aaron and Sánchez, Daniel and Beaumont-Bowman, Sharon},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4244--4244},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/642},
}
TY - CPAPER TI - A Virtual Assistant to Help Dysphagia Patients Eat Safely at Home AU - Freed, Michael AU - Burns, Brian AU - Heller, Aaron AU - Sánchez, Daniel AU - Beaumont-Bowman, Sharon T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4244 EP - 4244 UR - https://ijcai.org/proceedings/2016/642 ER -Copied
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