A recurrent neural network architecture to model physical activity energy expenditure in older people

• Published in: Data mining and knowledge discovery Vol. 36; no. 1; pp. 477 - 512
• Main Authors: Paraschiakos, Stylianos, de Sá, Cláudio Rebelo, Okai, Jeremiah, Slagboom, P. Eline, Beekman, Marian, Knobbe, Arno
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2022; Springer Nature B.V
• Subjects: Accelerometers; Artificial Intelligence; Chemistry and Earth Sciences; Computer architecture; Computer Science; Data Mining and Knowledge Discovery; Energy requirements; Exercise; Health care; Information Storage and Retrieval; Neural networks; Older people; Optimization; Personal health; Physics; Recurrent neural networks; Special Issue: Mining for Health; Statistics for Engineering; Wrist; Accelerometer; Wearables; Recurrent neural networks; Monitoring older adults; Indirect calorimetry; Physical activity energy expenditure

Through the quantification of physical activity energy expenditure (PAEE), health care monitoring has the potential to stimulate vital and healthy ageing, inducing behavioural changes in older people and linking these to personal health gains. To be able to measure PAEE in a health care perspective,...