Browsing Health (Faculty of) by Subject "machine learning"
Now showing items 1-5 of 5
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Detecting subject-specific fatigue related changes in lifting kinematics using a machine learning approach
(University of Waterloo, 2021-01-07)Background. Functional capacity evaluations (FCEs) are used to determine a worker’s capacity for return to work (RTW) or for job matching purposes. FCEs are completed using a subjective approach, where a trained evaluator ... -
"I Will Not Drink With You Today": A Topic-Guided Thematic Analysis of Addiction Recovery on Reddit
(ACM, 2022-04)Recovery from addiction is a journey that requires a lifetime of support from a strong network of peers. Many people seek out this support through online communities, like those on Reddit. However, as these communities ... -
The Relationship Between Heart Rate and Self-reported Sickness in Commercially Available Virtual Reality Environments
(University of Waterloo, 2020-05-13)Virtual reality (VR), while beneficial in research, training, and entertainment has the tendency of causing cybersickness (CS). The symptoms range from mild to severe depending on the individual. There exists a gap in the ... -
SoMeIL: A social media infodemic listening for public health behaviours conceptual framework
(University of Waterloo, 2023-10-10)Introduction The coronavirus disease 2019 (COVID-19) pandemic has escalated health infodemics given substantially digitalized daily life since the pandemic began. The number of social media users has skyrocketed. However, ... -
Wearable Sensor Technology and Machine Learning for Prediction of Oxygen Uptake and Extraction of Kinetics during Moderate and Heavy Intensity Exercise
(University of Waterloo, 2020-08-19)The speed at which pulmonary oxygen uptake (V̇O2p) responds to a change in energetic demand provides information about an individual’s health and functional capabilities. Advances in wearable sensor technology and machine ...