For most modes: a device with a modern web browser, a webcam, and an internet connection. The sensor-based mode (OT) adds optional sensor-embedded equipment for sensor-based exercises, enabling more precise rehabilitation.

Not at all — it is designed to work alongside and support clinical care (guiding prescribed exercises, keeping patients motivated between visits, and giving medical personnel objective session data), not to give hands-on therapy or replace therapists entirely.

Session data (such as repetition counts, movement accuracy, grip force, reaction time, and speech scores) is collected to track rehabilitation progress, with a focus on data minimization, capturing only what therapy requires. Camera-based pose detection runs in the browser, and we do not sell patient data. Studies involving patients are run with appropriate institutional oversight and participant consent.

Yes. Work on the system has been presented at the 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2025), where it received the People's Choice Award, and is listed on IEEE Xplore. A stroke hand-rehabilitation chapter is published with Springer (BioMRH 2025). See Research & Progress.

The therapy modes target common rehabilitation needs (physical/movement therapy, hand function, and speech), with work to date focused on areas such as stroke recovery and neurological/orthopedic rehabilitation. The right use for any individual patient is determined by their medical personnel.

Yes. Family-friendly training is a core part of the home-rehabilitation design: assisted exercises, shared therapy games, and routines that build accountability. Family involvement is associated with higher adherence and better outcomes. See Family Friendly Training.

We welcome collaboration with rehabilitation professionals, researchers, and educators, from clinical feedback to joint pilots and studies. Reach out via the contact form or email [email protected].