How Mature Is Technology in Helping People with Disabilities?
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 21705
Special Issue Editors
Interests: artificial intelligence applications (such as artificial neural networks, support vector machines, decision trees, and so on); data mining applications; big data; internet of things; diagnosis and decision support system in medical and cognitive sciences
Special Issues, Collections and Topics in MDPI journals
Interests: web application development; web accessibility and usability; video game accessibility; e-learning; Massive Open Online Courses (MOOC); Open Educational Resources (OER)
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems for Internet of Things, which encompasses knowledge base systems with fuzzy logic, deep learning for temporal processing and fusion of sensor data and advanced architectures for ubiquitous computing and ambient intelligence in e-Health
Special Issues, Collections and Topics in MDPI journals
Interests: smart environments; e-Health; intelligent systems; soft computing
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Special Issue Information
Dear Colleagues,
According to the WHO, over 1 billion people live with some form of disability, and the number of people with disability are dramatically increasing. This is due to demographic trends and increases in chronic health conditions, among other causes. Furthermore, people with disability are disproportionately affected during the COVID-19 pandemic.
In this context, it is more important to address issues of inclusion. For this reason, the use of technology in different ways allows not only helping people with disabilities but also the possibility to be tele-assisted by improving aspects of their inclusion and autonomy, which are fundamental in the total development of this wide group of people.
Papers addressing these topics are invited for this Special Issue, especially those combining a high academic standard coupled with a practical focus on providing optimal assisted living solutions.
Prof. Dr. David Gil
Prof. Dr. Sergio Luján-Mora
Prof. Dr. Javi Medina Quero
Dr. Macarena Espinilla-Estevéz
Guest Editors
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Keywords
- Machine learning
- Human activity recognition
- Ambient assisted living
- Sensor fusion
- Big data
- Internet of Things
- Non-invasive sensors for sheltered homes
- Generation of datasets with sensors related to different disabilities
- Mobile applications for people with disabilities
- Serious games for people with disabilities
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