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Early Dementia Detection through Conversations to Virtual Personal Assistant

AAAI Conferences

Early detection and routine follow up of dementia are important because it can slow down the progress of the disease. The most common way to detect dementia is based on cognitive tests. The tests are usually done in the clinical setup with the help of a psycho-metrically trained examiner. Revised Hasegawa’sDementia Scale (HDS-R) is one of the prominent screening tests for dementia. We propose a method for early dementia detection by using a Virtual Personal Assistant (VPA) on a computer that has a natural language user interface, such asAmazon Echo, Apple Siri, Google Home, Microsoft Cortana, Soft bank Pepper, Sharp RoBoHon, etc. In our proposal, we consider HDS-R as a guideline to examine dementia. A VPA extracts the necessary features from the verbal and interactive response of the patient to compute the level of dementia.Such implicit checking is physically and mentally much comfortable for old people. We believe the proposed method will be able to contribute future society.


6 Ways To Reduce Dementia Risk

International Business Times

Dementia is commonly considered an inevitable part of growing older. In reality, many of the characteristic symptoms of dementia, such as memory loss and confusion, can be prevented, or diminished. Recently, Medical Daily spoke with Dr. Sharad P. Paul, a skin cancer surgeon, family physician, and author of The Genetics of Health on steps we can take to prevent dementia in both ourselves and our loved ones. According to Paul, one of the most effective ways to lower your risk of dementia is to quit smoking. Statistics from Alzheimer's Disease International show that smokers are 45 percent more likely to develop dementia than non-smokers.


Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults with Dementia

arXiv.org Machine Learning

Accurate facial expression analysis is an essential step in various clinical applications that involve physical and mental health assessments of older adults (e.g. diagnosis of pain or depression). Although remarkable progress has been achieved toward developing robust facial landmark detection methods, state-of-the-art methods still face many challenges when encountering uncontrolled environments, different ranges of facial expressions, and different demographics of the population. A recent study has revealed that the health status of individuals can also affect the performance of facial landmark detection methods on front views of faces. In this work, we investigate this matter in a much greater context using seven facial landmark detection methods. We perform our evaluation not only on frontal faces but also on profile faces and in various regions of the face. Our results shed light on limitations of the existing methods and challenges of applying these methods in clinical settings by indicating: 1) a significant difference between the performance of state-of-the-art when tested on the profile or frontal faces of individuals with vs. without dementia; 2) insights on the existing bias for all regions of the face; and 3) the presence of this bias despite re-training/fine-tuning with various configurations of six datasets.


Is Need for More Sleep a Sign of Pending Dementia?

#artificialintelligence

WEDNESDAY, Feb. 22, 2017 (HealthDay News) -- Seniors who begin sleeping more than nine hours a night may face a higher risk of dementia down the road, a new study suggests. The researchers estimated that the risk of dementia grew by almost 2.5 times for those who found themselves recently needing extra sleep. The chances of dementia rose sixfold for people without a high school degree who suddenly needed to sleep nine hours or more, the study contended. The study authors said this finding hinted that education might somehow offer a bit of protection from dementia. People with dementia often suffer from disrupted sleep, "but we don't know much about whether these changes come first," said study co-author Matthew Pase.


Welfare ministry seeks funding to pair dementia patients with volunteer supporters

The Japan Times

The welfare ministry plans to launch a project in fiscal 2019 to provide better aid to dementia patients by matching them with volunteer supporters, informed sources said. The project will include providing subsidies to coordinators that connect dementia patients and their families with supporters who would, for instance, tag along when they go out or do casual exercise. The ministry plans to earmark funds in its budget request for fiscal 2019 starting next April, the sources said Sunday. Prefectural governments will be in charge of the project. The ministry is considering allowing them to outsource it to municipalities.