Implementing rehabilitation tools of REPAIRS in commercial rehabilitation videogames

Host Institution: CoRehab

Contact: Dr. Tacconi (use this email contact only to request additional information, do NOT use this email for applications)


Apply for this position here!! Deadline is 7 June 2021.


Project description

The focus of this project is to train the ESR to develop a rehabilitation training module from a systems perspective. In this project i) the current training games of Riablo®, a medical device manufactured by COREHAB (movement-controlled videogames) will be expanded with typical knowledge from REPAIRS and ii) one of the games as developed in REPAIRS will be integrated in Riablo itself. First, joint angle variability measures will be computed within ‘Riablo’, a current training tool of COREHAB. It will be established how information about joint angle variability should be fed back to the user in the videogame to be most effective. This is a pioneering performance measure to give feedback about in rehabilitation. Second, the current movement-controlled videogames give feedback about variability of performance using traditional variability measures. Innovative variability measures, such as RQA, will be implemented in a training game to prevent risk of falling to determine how this should be implemented to be optimally effective. Third, the training tool as developed by ESR12, where joint-action is employed to improve postural stability, will be integrated in the Riablo training tool and tested for its effectiveness after ACL injury and risk of fall prevention. In doing so, this ESR will integrate different levels of study (i.e., muscles and joints and social) and combine this with innovative performance measures (i.e., RQA) to improve rehabilitation from a systems perspective.


People involved

Dr. Tacconi

Dr. Farella

Prof. dr. Schöner 


Key publications

Iosa, M., Pietro Picerno, Paolucci, S., & Morone, G. (2016). Wearable inertial sensors for human movement analysis. Expert Review of Medical Devices, 13(7), 641–659.

Leardini, A., Lullini, G., Giannini, S., Berti, L., Ortolani, M., & Caravaggi, P. (2014). Validation of the angular measurements of a new inertial-measurement-unit based rehabilitation system: comparison with state-of-the-art gait analysis. Journal of NeuroEngineering and Rehabilitation, 11(1), 136–7.

Lullini, L. Berti, P. Caravaggi, S. Tamarri, A. Leardini (2016). Muscular activation of lower limbs during rehabilitation with an innovative system based on inertial sensor and biofeedback. Europ Jou Phy Rehab Med,  Suppl. 1, Vol. 52 N. 2, Page 265.


Specific required skills of PhD student

Skill area
Language (writing) English
Language (speaking) English, Italian (preferred or willingness to learn)
Programming Python, Unity3D or other game engines
Statistical programs
Background Computer science engineering, biomedical or biomechanical engineering,
Project specific knowledge Human movement science


Project characteristics

[complete table]

Primary focus project Development of new interactive modules of an existing Medical Device called Riablo
Methods Development of new kinematics algorithms and integration in Riablo software; development of advanced User Interface to provide interactive and motivating feedback to patients and their professionals