Tracks body landmarks through a standard webcam, enabling movement analysis without specialized equipment.
Interactive browser-based games transform repetitive exercises into engaging activities that increase patient motivation and adherence.
Arduino-powered sensors such as force-sensitive resistors connect physical rehabilitation tools to the digital therapy platform.
NeuronFRAMES is a research and innovation project developing a web-based AI-assisted rehabilitation system. It combines computer vision pose detection, sensor-based input devices, gamified therapy exercises, speech therapy tools, and progress tracking into a single accessible platform.
Globally, millions of patients cannot access consistent rehabilitation therapy due to cost, geographic distance, or limited clinical resources. NeuronFRAMES aims to address these challenges by delivering therapy tools through a standard web browser, requiring only a webcam and internet connection.
Built with HTML, CSS, JavaScript, and Arduino sensors, the platform is designed to be affordable and deployable in diverse settings, from clinical facilities to patients' homes.
Runs in any modern browser: no software installation or expensive hardware required.
Data-driven session records help clinicians and patients monitor improvement over time.
Game mechanics keep patients engaged and encourage consistent practice between sessions.
Open web technologies and affordable sensors make the system accessible in resource-limited settings.
NeuronFRAMES fits into the rehabilitation cycle clinicians already use, adding structure, motivation, and objective data at every step.
A clinician evaluates the patient and selects the therapy modes, target movements, and starting difficulty that match their rehabilitation plan.
Exercises, games, sensor tasks, and speech drills are configured per patient. Adaptive difficulty keeps every session in the productive zone.
Patients practice with real-time pose feedback, encouragement, and family support. The same program runs in the clinic and continues at home in a browser.
Every session is logged (reps, accuracy, grip force, reaction time, speech scores) and summarized for the clinician to review and adjust the plan.
Each mode addresses a specific rehabilitation need, from physical movement to speech recovery, using accessible web-based technology.
A pose-detection rehabilitation mode that tracks patient movement using camera-based body landmark detection. It provides visual guidance through pose overlays and automatically counts repetitions and evaluates movement accuracy, giving patients real-time feedback during exercise sessions.
A game-based therapy mode where patients perform rehabilitation movements through interactive browser games, including reaction tasks, card matching, and motion-based challenges. Designed to increase motivation and adherence by making repetitive exercises feel engaging and rewarding.
A sensor-integrated rehabilitation system that connects hardware devices, such as grip sensors using force-sensitive resistors and Arduino microcontrollers, to interactive therapy games. Patients interact with therapy exercises using physical input devices, bridging the gap between tangible rehabilitation tools and digital feedback.
A speech rehabilitation module that uses browser-based speech recognition to support pronunciation practice, vocabulary exercises, and communication training. Patients receive immediate feedback on their speech accuracy through the Web Speech API, making speech therapy more accessible outside clinical settings.
Two paths, depending on what your hospital already has. We tailor the system either way.
Already have rehabilitation departments? We customize and tune NeuronFRAMES to your hospital's existing environment, protocols, and workflows. It fits how your teams already work, instead of forcing them to change.
No rehabilitation department yet? We provide the full capability out of the box through our four modes (EPT, GPT, ITS, and SIT), standing up a complete rehabilitation offering where none existed before.
Two ideas keep patients practicing: therapy that adjusts to them, and a support system that practices with them.
NeuronFRAMES automatically adjusts therapy difficulty based on patient performance, keeping exercises challenging but achievable throughout recovery.
Motivation rises sharply when family members take part. Family involvement is built in as a core part of home-based therapy, where consistent practice depends on support beyond the clinic.
Prescribes & monitors
Performs exercises
Assists & encourages