  This document introduces the PHYTMO database, which contains data from
physical therapies recorded with inertial sensors, including information from
an optical reference system. PHYTMO includes the recording of 30 volunteers,
aged between 20 and 70 years old. A total amount of 6 exercises and 3 gait
variations were recorded. The volunteers performed two series with a minimum of
8 repetitions in each one. PHYTMO includes magneto-inertial data, together with
a highly accurate location and orientation in the 3D space provided by the
optical system. The files were stored in CSV format to ensure its usability.
The aim of this dataset is the availability of data for two main purposes: the
analysis of techniques for the identification and evaluation of exercises using
inertial sensors and the validation of inertial sensor-based algorithms for
human motion monitoring. Furthermore, the database stores enough data to apply
Machine Learning-based algorithms. The participants' age range is large enough
to establish age-based metrics for the exercises evaluation or the study of
differences in motions between different groups.
