�rea Cient�fica: Informática Industrial
Daily events classification on a AAL environment
Publicada a 2020-01-18
Aluno: Pedro António Sousa Pontes       N�mero: 74951       Email: pedrosousapontes@gmail.com
Data in�cio: 09/09/2019   

Orientador(es):
Nome: Jorge Miguel Nunes dos Santos Cabral
Email: jcabral@dei.uminho.pt   

Descri��o:

 

Population ageing is a global demographic challenge and countries all around the world are facing significant pressure on their health and social care systems in order to mitigate the effects of the increasing ageing population. According to data from World Health, as a result of both improved longevity and the aging of population cohorts (the "baby boomers") born during the years 1945-1964 post-World War II period in combination with other trends, including the increase in life expectancy that occurred during the twentieth century is leading to witnessing a major demographic shift.

 

Globally, the share of the older population that is aged 80 years old increased from 9 per cent

in 1980 to 15 per cent in 2019 and it is projected to continue to grow. North America and Europe

have the highest percentage, being closely followed by Oceania and Latin America.

The emerging social aspect introduces some crucial challenges to society and greater demands on the actual healthcare systems:

  • Increase in age related diseases, some of them with no current cure;
  • Increase in health care costs: senior citizens use a substantial portion of the health care
  • budget and will continue to increases as the aging population increases, which could possibly
  • lead to a decline of e_ciency and quality of public health systems;
  • Shortage of caregivers: Shortage of professionals to work with the aging population and
  • increased caregiver burden, will lead to more family members have to take the role of informal caregivers, leading to emotional distress and fatigue of these;
  • Dependency: Increasing age-related diseases will also increase the number of individuals that cannot live independently

 


Objectivos:

 

Based on the problem definition, the following Objectives (O) have been identified to guide the

master thesis:

O1   Survey the state-of-art literature of the current usage and real-world deployment of AAL

technologies;

O2   Survey the literature for studies to investigate which EDL technologies are essential to

monitor and evaluate a decline in the user's health status;

O3   Evaluate ambient sensors to insight on their feasibility, reliability and the obstacles they

pose towards remote monitoring applications;

O4   Propose and develop a research data acquisition platform for evaluating several sensors (PIR, Proximity, Humidity, Temperature and Co2);

O5   Demonstrate the feasibility of this type of platforms concerning the integration and unification of different technologies used in healthcare;

O6   Classify EDL based on the acquired user's monitoring data;

 


Palavras chave:
Ambient Assisted Living, Machine Learning, ICT

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