المؤلفون: Emily E. MacDonald, Liam P. Pellerine, Katerina E. Miller, Ryan J. Frayne, Myles W. O’Brien

المصدر: Frontiers in Rehabilitation Sciences, Vol 5 (2024)

مصطلحات موضوعية: physical activity intensity, relative physical activity, 6-min walk test, quality of life, brain injured patients, Other systems of medicine, RZ201-999, Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fresc.2024.1427446/full; https://doaj.org/toc/2673-6861

URL الوصول: https://doaj.org/article/fe47d1ab5bf34e20971a4e0e14fd99d9

المؤلفون: Chowdhury, Alok, Tjondronegoro, Dian, Chandran, Vinod, Zhang, Jinglan, Trost, Stewart

المصدر: Sensors

مصطلحات موضوعية: Borg's RPE, classification, machine learning, motion sensors, neural networks, random forest, relative physical activity intensity, support vector machine

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/197320/2/sensors_19_04509.pdf; Chowdhury, Alok, Tjondronegoro, Dian, Chandran, Vinod, Zhang, Jinglan, & Trost, Stewart (2019) Prediction of relative physical activity intensity using multimodal sensing of physiological data. Sensors, 19(20), Article number: 4509.; https://eprints.qut.edu.au/197320/; Faculty of Health; Institute of Health and Biomedical Innovation; Science & Engineering Faculty; School of Exercise & Nutrition Sciences

الاتاحة: https://eprints.qut.edu.au/197320/

المؤلفون: Alok Kumar Chowdhury, Dian Tjondronegoro, Vinod Chandran, Jinglan Zhang, Stewart G. Trost

المصدر: Sensors; Volume 19; Issue 20; Pages: 4509

مصطلحات موضوعية: motion sensors, machine learning, classification, random forest, support vector machine, neural networks, relative physical activity intensity, Borg’s RPE

وصف الملف: application/pdf

Relation: Intelligent Sensors; https://dx.doi.org/10.3390/s19204509

الاتاحة: https://doi.org/10.3390/s19204509

المؤلفون: Chowdhury, Alok K.

مصطلحات موضوعية: Physical activity recognition, Machine learning, Wearable sensors, Relative physical activity intensity prediction, Energy expenditure prediction, Rate of perceived exertion, Deep learning, Ensemble learning, Decision fusion, Posterior-adapted class-based fusion

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/118664/1/Alok_Chowdhury_Thesis.pdf; Chowdhury, Alok K. (2018) Sensor-based prediction of physical activity and its impacts using machine learning. PhD by Publication, Queensland University of Technology.; https://eprints.qut.edu.au/118664/; Faculty of Health; Science & Engineering Faculty; School of Electrical Engineering & Computer Science; School of Exercise & Nutrition Sciences

الاتاحة: https://eprints.qut.edu.au/118664/