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A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors

Sahand Hajifar, Hongyue Sun, Fadel M. Megahed, L. Allison Jones‐Farmer, Ehsan Rashedi, Lora Cavuoto

2020Applied Ergonomics48 citationsDOI

Topics & Concepts

Autoregressive modelAutoregressive integrated moving averageWearable computerTime seriesPerceived exertionVector autoregressionComputer scienceTask (project management)SimulationStatisticsEngineeringMachine learningMathematicsSystems engineeringEmbedded systemBlood pressureMedicineRadiologyHeart rateSports Performance and TrainingSleep and Work-Related FatigueNon-Invasive Vital Sign Monitoring
A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors | Litcius