Ricerc@Sapienza

Hand rehabilitation therapy is fundamental for post-stroke or post-surgery impairments. Traditional rehabilitation requires the presence of a therapist for executing and controlling therapy: this implies high costs, stress for the patient, and subjective evaluation of the therapy effectiveness. Alternative approaches, based on mechanical and tracking-based gloves, have been recently proposed.

Hand rehabilitation is fundamental after stroke or surgery. Traditional rehabilitation implies high costs, stress for the patient, and subjective evaluation of the therapy effectiveness. Mechanical devices based approaches are often expensive, cumbersome and patient specific, while tracking-based devices are not affected by these limitations, though they could suffer from occlusions. In recent works, the procedure used for implementing a multi-sensors approach, the Virtual Glove (VG), based on the simultaneous use of two orthogonal LEAP motion controllers, was described.

Hand rehabilitation therapy is fundamental in the recovery process for patients suffering from post-stroke or postsurgery impairments. Beside traditional approaches, that require the presence of therapist during the sessions (with high costs and subjective measurements), alternative approaches can be employed. A novel multi-sensor approach, the Virtual Glove (VG), is based on the simultaneous use of two LEAP motion controllers to track the hand motion and to reconstruct a numerical hand model in real time.

Hand rehabilitation is fundamental after stroke or surgery. Traditional rehabilitation
requires a therapist and implies high costs, stress for the patient, and subjective evaluation of
the therapy effectiveness. Alternative approaches, based on mechanical and tracking-based gloves,
can be really effective when used in virtual reality (VR) environments. Mechanical devices are often
expensive, cumbersome, patient specific and hand specific, while tracking-based devices are not