The progressive ageing of the population has resulted in an increase of neurodegenerative disorders, including Parkinson’s Disease. In order to ensure the preservation and the enhancement of motor functions, continuous rehabilitation programs would be necessary. However, these programmes are often costly and not conceived for home-based use. Exergames, videogames designed to perform therapeutic physical exercises, represent a cost-effective solution suitable for telerehabilitation. They enable continuous patient monitoring and increase engagement throughout rehabilitation process. This study analyzes the data collected by the Palestra exergame, developed by CNR-IEIIT, which employs a single RGB camera combined to Google MediaPipe Pose for human pose estimation.