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This document introduces the PHYTMO database, which contains data fromphysical therapies recorded with inertial sensors, including information froman 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 gaitvariations were recorded. The volunteers performed two series with a minimum of8 repetitions in each one. PHYTMO includes magneto-inertial data, together witha highly accurate location and orientation in the 3D space provided by theoptical 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: theanalysis of techniques for the identification and evaluation of exercises usinginertial sensors and the validation of inertial sensor-based algorithms forhuman motion monitoring. Furthermore, the database stores enough data to applyMachine Learning-based algorithms. The participants' age range is large enoughto establish age-based metrics for the exercises evaluation or the study ofdifferences in motions between different groups.

A database of physical therapy exercises with variability of execution collected by wearable sensors