Axiomatic design of a man-machine interface for Alzheimer’s patient care
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Navarro-Tuch_2021_IOP_Conf._Ser.__Mater._Sci._Eng._1174_012007.pdf
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Author(s)
Navarro-Tuch, Sergio A.
Gammack, Jack
Kang, David
Kim, Sang-Gook
Date Issued
August 1, 2021
Journal
IOP Conference Series: Materials Science and Engineering
Publisher
IOP Publishing
Citation
Sergio A. Navarro-Tuch et al 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1174 012007.
Version
Final published version
Abstract
Axiomatic thinking framework is used to develop a novel concept of “Care-Toy,” which helps caregivers of Alzheimer’s and dementia patients by providing much needed respite for themselves without compromising patients’ safety. “Care-Toy” interacts with a patient via stimulating images and sounds for touch interactions, actively keeping the patient’s attention for a needed duration as well as monitoring the patient’s status or alerting the caregiver if necessary. Systems solution for this concept could be effectively elaborated with the Axiomatic Design framework, leading to the development of a key module intended for measuring and maintaining the attention of the patient during the respite of caregivers. Gaze detection is the key module based on deep learning-based facial recognition system to monitor whether “Care-Toy” attracts the patient’s interest and maintains attention, otherwise to alert the caregiver. The module-junction structure could be derived from the decomposed functional requirement (FR)-design parameter (DP) tree structure and design matrices of them, which effectively defines the software system structure for this product.
Subjects
General Medicine
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1757-899x/1174/1/012007
