Work

3CAP: categorizing the cognitive capabilities of Alzheimer’s patients in a smart home environment

Year: 2018

Type: conference-paper

Abstract: Alzheimer’s disease is a progressive illness that affects more than 5.5 million people in the United States with no effective cure or treatment. Symptoms of the disease include declines in memory and speech abilities and increases in aggression and insomnia. Recent research suggests that NLP techniques can detect early cognitive decline as well as monitor the rate of decline over time. The processed data can be used in a smart home environment to enhance the level of home care for Alzheimer’s patients. This paper proposes early-stage research in software engineering and natural language processing for quantifying and evaluating the patient’s cognitive state to determine the required level of support in a smart home.

DOI: 10.1145/3283812.3283824

Authors: Kate M. Bowers, Reihaneh H. Hariri, Katey A. Price

Institutions: Oakland University, Albion College

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Funders: National Science Foundation, Michigan Space Grant Consortium, Comcast Innovation Fund

Award: CRII: CPS: Minimizing the Oracle Problem for Self-Adaptive Cyber-Physical Systems