PHYTMO database

Resumen

Database of physical therapy exercises with variability of execution collected by wearable sensors. The PHYTMO database contains data from physical therapy exercises and gait variations recorded with magneto-inertial sensors, including information from an optical reference system. It includes the recording of 30 volunteers, aged between 20 and 70 years old. A total amount of 6 exercises and 3 gait variations commonly prescribed in physical therapies were recorded. Home-based physical therapies are specially important for older adults, however they are effective if the prescribed exercises are correctly executed and patients adhere to these routines. Older adults can easily forget the guidelines from therapists, so in this work, we propose the use of Machine Learning techniques to recognize which exercise is being carried out and to assess if the recognized exercise is properly executed by using data from four IMUs placed on the person limbs.