Browsing Kinesiology and Health Sciences by Subject "machine learning"
Now showing items 1-3 of 3
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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 ... -
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 ... -
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 ...