A Preliminary Study on Aging Examining Online Handwriting
- URL: http://arxiv.org/abs/2203.03933v1
- Date: Tue, 8 Mar 2022 08:57:25 GMT
- Title: A Preliminary Study on Aging Examining Online Handwriting
- Abstract summary: This paper tries to establish the variations in handwriting tasks with the goal to obtain a better knowledge about aging.
We present the correlation results between several parameters extracted from online handwriting and the age of the writers.
- Score: 1.565870461096057
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: In order to develop infocommunications devices so that the capabilities of
the human brain may interact with the capabilities of any artificially
cognitive system a deeper knowledge of aging is necessary. Especially if
society does not want to exclude elder people and wants to develop automatic
systems able to help and improve the quality of life of this group of
population, healthy individuals as well as those with cognitive decline or
other pathologies. This paper tries to establish the variations in handwriting
tasks with the goal to obtain a better knowledge about aging. We present the
correlation results between several parameters extracted from online
handwriting and the age of the writers. It is based on BIOSECURID database,
which consists of 400 people that provided several biometric traits, including
online handwriting. The main idea is to identify those parameters that are more
stable and those more age dependent. One challenging topic for disease diagnose
is the differentiation between healthy and pathological aging. For this
purpose, it is necessary to be aware of handwriting parameters that are, in
general, not affected by aging and those who experiment changes, increase or
decrease their values, because of it. This paper contributes to this research
line analyzing a selected set of online handwriting parameters provided by a
healthy group of population aged from 18 to 70 years. Preliminary results show
that these parameters are not affected by aging and therefore, changes in their
values can only be attributed to motor or cognitive disorders.
Related papers
- Language-Based Digital Twins for Elderly Cognitive Assistance [8.573935948021695]
We propose a language-based digital twin framework to mimic the conversational behavior of elderly individuals.<n>Experiments show that the digital twin preserves identity-specific characteristics and achieves reconstruction and MoCA prediction errors comparable to real data.
arXiv Detail & Related papers (2026-06-25T17:45:53Z) - Detecting anxiety and depression in dialogues: a multi-label and explainable approach [5.635300481123079]
Anxiety and depression are the most common mental health issues worldwide, affecting a non-negligible part of the population.
In this work, an entirely novel system for the multi-label classification of anxiety and depression is proposed.
arXiv Detail & Related papers (2024-12-23T15:29:46Z) - Devising a Set of Compact and Explainable Spoken Language Feature for Screening Alzheimer's Disease [52.46922921214341]
Alzheimer's disease (AD) has become one of the most significant health challenges in an aging society.
We devised an explainable and effective feature set that leverages the visual capabilities of a large language model (LLM) and the Term Frequency-Inverse Document Frequency (TF-IDF) model.
Our new features can be well explained and interpreted step by step which enhance the interpretability of automatic AD screening.
arXiv Detail & Related papers (2024-11-28T05:23:22Z) - Requirements Engineering for Older Adult Digital Health Software: A Systematic Literature Review [2.7992435001846827]
Growth of the older adult population has led to an increasing interest in technology-supported aged care.
Digital health can be important in supporting older adults wellbeing, emotional requirements, and social needs.
There is a gap in the understanding between developers and ageing people of their requirements.
arXiv Detail & Related papers (2024-11-06T04:35:39Z) - Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities [8.032202552952299]
We present an intelligent conversational system for entertaining elderly people with news of their interest that monitors cognitive impairment transparently.
We create dialogue flows automatically from updated news items using Natural Language Generation techniques.
The system infers the gold standard of the answers to the questions, so it can assess cognitive capabilities automatically.
arXiv Detail & Related papers (2024-05-28T19:17:48Z) - Quantum Machine Learning in the Cognitive Domain: Alzheimer's Disease Study [0.0]
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder.
One of the tasks influenced by cognitive impairments is handwriting.
Recent developments in classical artificial intelligence (AI) methods have shown promise in detecting AD through handwriting analysis.
arXiv Detail & Related papers (2023-09-15T16:50:57Z) - Sensitivity, Performance, Robustness: Deconstructing the Effect of
Sociodemographic Prompting [64.80538055623842]
sociodemographic prompting is a technique that steers the output of prompt-based models towards answers that humans with specific sociodemographic profiles would give.
We show that sociodemographic information affects model predictions and can be beneficial for improving zero-shot learning in subjective NLP tasks.
arXiv Detail & Related papers (2023-09-13T15:42:06Z) - Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and
Dysarthric Speech Recognition [64.9816313630768]
Fine-tuning is often used to exploit the large quantities of non-aged and healthy speech pre-trained models.
This paper investigates hyper- parameter adaptation for Conformer ASR systems that are pre-trained on the Librispeech corpus.
arXiv Detail & Related papers (2023-06-27T07:49:35Z) - Pluralistic Aging Diffusion Autoencoder [63.50599304294062]
Face aging is an ill-posed problem because multiple plausible aging patterns may correspond to a given input.
This paper proposes a novel CLIP-driven Pluralistic Aging Diffusion Autoencoder to enhance the diversity of aging patterns.
arXiv Detail & Related papers (2023-03-20T13:20:14Z) - Handwriting and Drawing for Depression Detection: A Preliminary Study [53.11777541341063]
Short-term covid effects on mental health were a significant increase in anxiety and depressive symptoms.
The aim of this study is to use a new tool, the online handwriting and drawing analysis, to discriminate between healthy individuals and depressed patients.
arXiv Detail & Related papers (2023-02-05T22:33:49Z) - Conformer Based Elderly Speech Recognition System for Alzheimer's
Disease Detection [62.23830810096617]
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care to delay further progression.
This paper presents the development of a state-of-the-art Conformer based speech recognition system built on the DementiaBank Pitt corpus for automatic AD detection.
arXiv Detail & Related papers (2022-06-23T12:50:55Z) - Modeling differential rates of aging using routine laboratory data;
Implications for morbidity and health care expenditure [0.0]
We used a variational autoencoder to estimate rates of aging from cross-sectional data from routine laboratory tests of 1.4 million individuals collected from 2016 to 2019.
We then examined the relationship between rates of aging on morbidity and health care expenditure.
Results suggest that cross-sectional laboratory data can be leveraged as an alternative methodology to understand age along the different dimensions.
arXiv Detail & Related papers (2021-03-17T11:34:42Z) - Automated Lay Language Summarization of Biomedical Scientific Reviews [16.01452242066412]
Health literacy has emerged as a crucial factor in making appropriate health decisions and ensuring treatment outcomes.
Medical jargon and the complex structure of professional language in this domain make health information especially hard to interpret.
This paper introduces the novel task of automated generation of lay language summaries of biomedical scientific reviews.
arXiv Detail & Related papers (2020-12-23T10:01:18Z) - Age Gap Reducer-GAN for Recognizing Age-Separated Faces [72.26969872180841]
We propose a novel algorithm for matching faces with temporal variations caused due to age progression.
The proposed generative adversarial network algorithm is a unified framework that combines facial age estimation and age-separated face verification.
arXiv Detail & Related papers (2020-11-11T16:43:32Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.