Research & Progress

Built on Research, Backed by Evidence

Where we are today, where we're headed, the studies behind it, and the people building it.

Roadmap & Milestones

From prototype, to peer-reviewed pilots, to daily clinical use, and onward to rehabilitation within reach of every patient in Thailand and beyond.

2023 โ€“ 2024 ยท Foundations

Prototype & first deployments

Built the core platform (pose detection, gamified exercises, and Arduino sensor integration) and ran early hands-on testing of the therapy modes.

2025 ยท Published & Piloted

Peer-reviewed research & supervised pilots

Presented at ACM/IEEE HRI 2025 (People's Choice Award) and listed on IEEE Xplore; a stroke hand-rehabilitation chapter published with Springer (BioMRH 2025). Ran a hospital pilot at Burapha University Hospital (6โ€“9 weeks) and a 3-month community field trial across 61 households.

2025 ยท Into Clinical Practice

Adopted at King Chulalongkorn Memorial Hospital

NeuronFRAMES moved from pilot to routine use across the Department of Physical Medicine and Rehabilitation, now supporting 250+ patients every month in inpatient, outpatient, and occupational-therapy settings.

Now ยท Scaling Across Thailand

More hospitals, deeper data, better clinician tools

Expanding to additional rehabilitation departments and hospitals, strengthening the clinician dashboard and reporting, and advancing 10+ research projects that build the evidence base.

Next ยท Clinical Validation

Larger controlled studies

Designing larger, controlled studies to test clinical efficacy across conditions, with multi-session trend analysis and exportable outcome reports for medical records.

The Goal ยท Rehabilitation for Everyone

Nationwide reach, and beyond

Make effective rehabilitation affordable and available to every patient in Thailand who needs it (in hospitals, clinics, and at home), then extend the same model to under-served regions worldwide, following the appropriate regulatory pathway.

Published Research

Peer-reviewed work behind NeuronFRAMES, with 10+ further research projects in progress.

2025

Interactive Therapeutic Systems: A Gamified Approach to Physical Rehabilitation and Data Collection

Chacharin Lertyosbordin, Maythus Tangprapa, Nuntipat Jiwasurat. Presented at ACM/IEEE HRI 2025; awarded People's Choice Award.

20th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2025) ยท IEEE Xplore
2025

Interactive Therapeutic Systems: A Gamified Approach to Hand Rehabilitation and AI-driven Support

Chacharin Lertyosbordin, Maythus Tangprapa, Nuntipat Jiwasurat. IEEE Xplore record of the HRI 2025 paper.

2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI) ยท IEEE Xplore
Published

A Hybrid Mirror Therapy and Gamified Rehabilitation System for Stroke Patients Using a Force-Sensitive Flappy Bird Interface

Nuntipat Jiwasurat, Maythus Tangprapa, Filippo Sanfilippo. A gamified stroke-rehabilitation system combining mirror therapy with force-sensitive (FSR) input.

Book chapter: Biomechatronics and Robotics in Healthcare (BioMRH 2025) ยท Lecture Notes in Networks and Systems, Springer ยท Q4-ranked

Plus 10+ ongoing research projects across computer vision, sensor integration, gamified therapy, and clinical outcome measurement.

The Team Behind NeuronFRAMES

Researchers and engineers working hand-in-hand with rehabilitation clinicians, and the authors of our publications.

CL

Chacharin Lertyosbordin

Project Lead ยท Research

Leads the research direction and the work on interactive therapeutic systems presented at ACM/IEEE HRI 2025.

Computer VisionRehab TechHRI
MT

Maythus Tangprapa

Co-Founder ยท Systems & Clinical Liaison

Connects the platform with clinical partners, coordinates hospital deployments, and works across system design, data, and product.

Clinical PilotsProductData
NJ

Nuntipat Jiwasurat

Co-Founder ยท Engineering & Hardware

Builds the sensor integration and gamified interfaces, including the force-sensitive hand-rehabilitation work published with Springer.

Arduino / FSRWeb GamesHardware
FS

Prof. Filippo Sanfilippo

Academic Advisor ยท University of Agder

Advises on AI-driven rehabilitation, biomechatronics, and collaborative robotics via the University of Agder partnership.

AI & RoboticsBiomechatronicsAcademia

Supported by rehabilitation professionals at King Chulalongkorn Memorial Hospital, Burapha University Hospital, and Bangkok International Hospital, and academic partners at the University of Agder and Chulalongkorn University.

Questions & Answers

Frequently Asked Questions

The things people most often ask about NeuronFRAMES, answered plainly.

No. NeuronFRAMES is currently a research and innovation project, not a certified or approved medical device. It is meant to be used as a therapy tool under the direction of licensed rehabilitation professionals, and it does not diagnose conditions or prescribe treatment.
For most modes: a device with a modern web browser, a webcam, and an internet connection. The sensor-based mode (ITS) adds an optional low-cost Arduino kit (for example a force-sensitive grip sensor) for hand rehabilitation.
No. It is designed to extend and support clinical care (guiding prescribed exercises, keeping patients motivated between visits, and giving clinicians objective session data), not to replace professional assessment, hands-on therapy, or medical advice.
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. These are early-stage results; larger controlled studies are planned.
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 clinician.
By enabling more therapy to happen at home in a standard browser, it reduces hospital visits, transportation, and per-session fees. In pilot data, patients saw average savings of about $264/month, roughly a 47% reduction in out-of-pocket rehabilitation costs. See Clinical Outcomes.
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 admin@neuronframes.com.