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., The estimates and standard errors were computed as follows:

Foot placement control sensitivities was estimated from linear regression over motion capture data, using methods identical to those in Yang and Srinivasan [1], Perry and Srinivasan [2], Joshi and Srinivasan [3], and Seethapathi and Srinivasan [4]. The estimates and standard errors were obtained from the linear regression software fitlm in MATLAB.
The resting metabolic data just involves simple averages and are from Hanford and Srinivasan [5], Seethapathi and Srinivasan [6], and Brown, Seethapathi, and Srinivasan [7]. The estimates and standard errors were obtained by elementary formulas for mean and standard error.
The exponential fit to the walking metabolic rate is performed using fminunc in MATLAB to minimize a mean squared error between an exponential a0 + a1*exp(-lambda t) and the data [7].

References
[1] Wang, Yang, and Manoj Srinivasan. \"Stepping in the direction of the fall: the next foot placement can be predicted f..., , # Data from: James-Stein estimator improves accuracy and sample efficiency in human kinematic and metabolic data

[https://doi.org/10.5061/dryad.3j9kd51v9](https://doi.org/10.5061/dryad.3j9kd51v9)

## Description of the data and file structure

The repository has three subfolders, one for each type of data and estimation problem.

1\) **foot placement control** - the sensitivity of foot placement to sideways perturbations

2\) **resting metabolics** - the metabolic cost of sitting/resting

3\) **walking metabolics** - the metabolic cost of walking in a circle

Both the statistical estimates and their standard errors are provided for all the subjects, all these different estimation problems, and for different trial durations, as provided in the associated manuscript. The file naming makes it clear what duration each dataset is for and what quantity is being stored in the file.

**Software:** All data files are .mat files, namely MATLAB data files, and can be loaded with the 'load' comman...