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Chapter and Conference Paper
Overcoming the Lack of Data to Improve Prediction and Treatment of Individuals with Autistic Spectrum Disorder and Attention Deficit Hyperactivity Disorder
The problem of lack of data remains a major drawback regardless of the continuous evolution of machine learning and deep learning models. This paper presents a modular and scalable architecture for the predict...
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Chapter and Conference Paper
New Trends in Machine Learning Techniques for Human Activity Recognition Using Multimodal Sensors
The ageing of today’s society, according to demographic and epidemiological data, presents a significant increase in the elderly population. Following the experienced pandemic, research in telemedicine to impr...
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Chapter and Conference Paper
Challenges and Opportunities for the Recognition of Human Activity in Supervised Flats
The scientific and technological evolution that has taken place in the field of human activity recognition, while enormous, is possibly only the tip of the iceberg of the possibilities that we are currently fa...
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Chapter and Conference Paper
A Model to Support the Prediction of Indicators in the Diagnosis and Intervention of Autism Spectrum Disorder
Autism Spectrum Disorder (ASD) is a developmental disability primarily characterized by challenges in social interaction and communication. Due to the unknown etiology of ASD, numerous computational psychiatr...