scholarly journals Personalized Physical Activity Coaching: A Machine Learning Approach

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 623 ◽  
Author(s):  
Talko B. Dijkhuis ◽  
Frank J. Blaauw ◽  
Miriam W. van Ittersum ◽  
Hugo Velthuijsen ◽  
Marco Aiello
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Adherence to Mediterranean Diet and Maternal Lifestyle during Pregnancy: Island–Mainland Differentiation in the CRIBS Birth Cohort

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2179
Author(s):  
Dubravka Havaš Auguštin ◽  
Jelena Šarac ◽  
Mario Lovrić ◽  
Jelena Živković ◽  
Olga Malev ◽  
...  
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Pregnant Women ◽  
Mediterranean Diet ◽  
Dietary Habits ◽  
Island Population ◽  
Learning Approach ◽  
Modifiable Factors ◽  
Machine Learning Approach ◽  
The Mediterranean

Maternal nutrition and lifestyle in pregnancy are important modifiable factors for both maternal and offspring’s health. Although the Mediterranean diet has beneficial effects on health, recent studies have shown low adherence in Europe. This study aimed to assess the Mediterranean diet adherence in 266 pregnant women from Dalmatia, Croatia and to investigate their lifestyle habits and regional differences. Adherence to the Mediterranean diet was assessed through two Mediterranean diet scores. Differences in maternal characteristics (diet, education, income, parity, smoking, pre-pregnancy body mass index (BMI), physical activity, contraception) with regards to location and dietary habits were analyzed using the non-parametric Mann–Whitney U test. The machine learning approach was used to reveal other potential non-linear relationships. The results showed that adherence to the Mediterranean diet was low to moderate among the pregnant women in this study, with no significant mainland–island differences. The highest adherence was observed among wealthier women with generally healthier lifestyle choices. The most significant mainland–island differences were observed for lifestyle and socioeconomic factors (income, education, physical activity). The machine learning approach confirmed the findings of the conventional statistical method. We can conclude that adverse socioeconomic and lifestyle conditions were more pronounced in the island population, which, together with the observed non-Mediterranean dietary pattern, calls for more effective intervention strategies.

scholarly journals A machine learning approach to measure and monitor physical activity in children

2017 ◽  
Vol 228 ◽  
pp. 220-230 ◽  
Author(s):  
Paul Fergus ◽  
Abir J. Hussain ◽  
John Hearty ◽  
Stuart Fairclough ◽  
Lynne Boddy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals A Machine Learning Approach to Perform Physical Activity Classification Using a Sensorized Crutch Tip

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 210023-210034
Author(s):  
Asier Brull Mesanza ◽  
Sergio Lucas ◽  
Asier Zubizarreta ◽  
Itziar Cabanes ◽  
Eva Portillo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Learning Approach ◽  
Activity Classification ◽  
Machine Learning Approach
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