Data from: James-Stein estimator improves accuracy and sample efficiency in human kinematic and metabolic data

In the associated manuscript, we show that James-Stein estimator helps improve statistical estimates for kinematic and metabolic problems by pooling data from multiple subjects. We considered three types of estimation problems: foot placement control, metabolic cost of walking in circles and metabolic cost of resting. In this dataset, we have shared the individual statistical estimates for each subject for each type of data, for each trial duration, along with their standard errors. The data in MATLAB's .mat format and can be opened with MATLAB, or free software such as octave and python.