Research & Innovation Project

Making Rehab
Accessible Through
Interactive Technology

NeuronFRAMES is an AI-assisted rehabilitation platform that combines computer vision, sensor-based input, and gamified therapy to make recovery more accessible, engaging, and measurable.

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4
Therapy Modes
Web-Based
Platform
Open
Research Project
NeuronFRAMES
Real-time Tracking
Pose Detection
Arduino Sensors
📷

Computer Vision Pose Detection

Tracks body landmarks through a standard webcam, enabling movement analysis without specialized equipment.

🎮

Gamified Therapy Exercises

Interactive browser-based games transform repetitive exercises into engaging activities that increase patient motivation and adherence.

🔌

Sensor-Based Input Devices

Arduino-powered sensors such as force-sensitive resistors connect physical rehabilitation tools to the digital therapy platform.

What Is NeuronFRAMES

Accessible Rehabilitation
Through Technology

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.

🌐

Web-Based Access

Runs in any modern browser — no software installation or expensive hardware required.

📊

Progress Tracking

Data-driven session records help clinicians and patients monitor improvement over time.

🎯

Motivation Through Gamification

Game mechanics keep patients engaged and encourage consistent practice between sessions.

💡

Low-Cost Design

Open web technologies and affordable sensors make the system accessible in resource-limited settings.

Societal Impact

Improving Lives for All

NeuronFRAMES addresses systemic barriers in rehabilitation access — improving quality of life for patients, reducing burden on healthcare professionals, and bringing therapy to communities that need it most.

💪

Better Quality of Life for Patients

Patients recovering from injury, stroke, or neurological disorders regain independence faster through consistent, guided rehabilitation. Accessible therapy tools help restore mobility, speech, and confidence during recovery.

👨‍⚕️

Better Quality of Life for Clinicians

Doctors and therapists spend less time on repetitive monitoring tasks and manual documentation. Automated data collection and progress tracking free clinicians to focus on diagnosis, treatment planning, and patient interaction.

🌍

Accessible in Rural & Underserved Regions

Millions of patients in remote or resource-limited areas lack access to rehabilitation facilities. NeuronFRAMES delivers therapy through a web browser — bringing rehabilitation to communities where clinics and specialists are unavailable.

🏠

Rehabilitation at Home

Patients can perform prescribed exercises at home instead of traveling to hospitals for every session. Home-based rehabilitation reduces the physical, financial, and time burden on patients and their families.

Motivation Through Gamification & Family Involvement

Gamified therapy exercises and family-supported training create an engaging rehabilitation experience that increases adherence. When therapy feels rewarding and family members participate, patients are far more likely to maintain consistent practice and achieve better long-term outcomes.

Pilot Results

Real-World Clinical Outcomes

2.6Bpeople need rehab
>50%in LMICs go without

Early pilot data from community deployments and hospital trials demonstrate measurable rehabilitation outcomes using NeuronFRAMES.

📊

Community Field Trial

23% avg improvement
96participants
61households
+7.91%strength
+17.62%pose accuracy
+61.13%game perf.
+5.29%completion speed

3-month community deployment (May–July 2025) of home-based rehabilitation using NeuronFRAMES.

🏥

Hospital Pilot Case Studies

24% overall improvement
5patients
6–9weeks
+9.86%strength
+19.48%pose accuracy
+49.41%game perf.
+5.53%completion speed

Supervised pilot at Burapha University Hospital. Early results support further clinical investigation.

💰

Economic Impact

$264 /month per person avg
47%cost reduction per person
$320/mo max per person

Home-based therapy reduces hospital visits, transportation expenses, and per-session fees — making sustained rehabilitation financially viable.

🌍

Global Rehabilitation Gap

2.6B people need rehab worldwide
>50%unserved in LMICs

NeuronFRAMES delivers therapy through a standard web browser — no specialized equipment required. Field trials show measurable outcomes in resource-limited settings.

From Pilot to Impact

These results are drawn from early-stage pilot trials and field deployments. While promising, they represent initial findings that require validation through larger controlled studies. NeuronFRAMES is committed to rigorous, evidence-based development — expanding trials with clinical partners to build the evidence needed for wider adoption.

Therapy Modes

Four Integrated Rehabilitation Modules

Each mode addresses a specific rehabilitation need, from physical movement to speech recovery, using accessible web-based technology.

01
🏃
Pose Detection

Enhanced Physical Therapy (EPT)

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.

  • Camera-based body landmark tracking via computer vision
  • Visual pose overlay guiding correct movement form
  • Automatic repetition counting and accuracy scoring
  • Session-by-session progress recording
  • No specialized equipment — works with a standard webcam
02
🎮
Gamification

Gamified Physical Therapy (GPT)

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.

  • Interactive rehabilitation games in the browser
  • Reaction-time tasks and card-matching exercises
  • Motion-based game mechanics tied to therapy goals
  • Score tracking and achievement progression
  • Designed to encourage consistent practice
03
🧩
Sensor Integration

Interactive Therapeutic System (ITS)

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.

  • Arduino-based sensor input devices
  • Force-sensitive resistor (FSR) grip measurement
  • Real-time sensor data visualization
  • Hardware-connected therapy games
  • Affordable, buildable sensor kits
04
🗣️
Speech AI

Speech Improvement Therapy (SIT)

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.

  • Browser-based speech recognition (Web Speech API)
  • Pronunciation practice with instant feedback
  • Vocabulary building and word exercises
  • Communication training activities
  • Session progress logs for review
Adaptive Training

Adaptive Friendly Training

NeuronFRAMES automatically adjusts therapy difficulty based on patient performance — ensuring exercises remain challenging but achievable throughout the recovery process.

When the system detects a patient is struggling, it responds by easing demands. When performance improves, therapy challenges increase gradually to promote continued progress.

  • 🔽
    When struggling: Movement thresholds relax, repetition targets decrease, and game difficulty lowers to prevent frustration
  • 🔼
    When improving: Movement precision requirements increase, exercise targets expand, and therapy challenges scale up progressively
  • ⚖️
    Balanced progression: Maintains the therapeutic zone between too easy and too hard — maximizing both motivation and clinical improvement

Adaptive Difficulty Scaling

Easy
Medium
Hard
⬇ Lower thresholds
⬆ Higher precision
System adjusts automatically based on real-time patient performance
Family Engagement

Family Friendly Training

Patient motivation significantly increases when family members participate in the rehabilitation process. NeuronFRAMES is designed to include family involvement as a core component of home-based therapy.

This feature is particularly important in home rehabilitation environments, where consistent practice depends on a support system that extends beyond the clinical setting.

  • 🤝
    Assisted exercises: Family members help position patients, provide verbal encouragement, and assist with movement during guided exercises
  • 🎮
    Shared therapy games: Collaborative and competitive game modes allow family members to participate alongside patients during therapy sessions
  • 📅
    Consistent practice: Family involvement creates accountability and routine, helping patients maintain regular rehabilitation schedules at home

Collaborative Rehabilitation Model

👨‍⚕️

Clinician

Prescribes & monitors

🧑‍🦽

Patient

Performs exercises

👨‍👩‍👧

Family

Assists & encourages

← Connected through NeuronFRAMES →
Family engagement leads to higher therapy adherence and better rehabilitation outcomes
Clinical Value

Designed for Real Clinical Rehabilitation

NeuronFRAMES integrates into hospital and clinic workflows — automating documentation, enabling remote monitoring, and providing quantitative outcome data. Pilot results from Burapha University Hospital demonstrate measurable clinical improvements across supervised patient cohorts.

📈

Quantitative Outcome Tracking

Every therapy session generates structured data — movement accuracy, repetition counts, grip force, and game performance scores. In the hospital pilot, clinicians used this data to track patient progress across 6–9 weeks, observing ~24% overall improvement without additional manual documentation.

  • Physical strength improvement: +9.86% (pilot avg)
  • Pose correction accuracy: +19.48% (pilot avg)
  • Game-based performance: +49.41% (pilot avg)
  • Rehabilitation completion speed: +5.53% (pilot avg)
💵

Reduce Rehabilitation Costs

Home-based therapy sessions reduce hospital visits, transportation expenses, and per-session fees. Pilot data indicate average savings of $264/month per patient (up to $320/month), representing an approximate 47% reduction in out-of-pocket costs — making sustained rehabilitation financially viable for more patients.

  • Fewer required in-person hospital visits
  • Lower transportation and session costs
  • ~47% reduction in patient rehabilitation expenses
📄

Automated Reports & Documentation

The system produces structured session summaries and progress reports that clinicians can use for treatment planning, clinical documentation, and interdisciplinary communication — reducing time spent on manual record-keeping.

  • Exportable session reports for medical records
  • Multi-session progress tracking and trend analysis
  • Quantitative data supporting clinical decision-making
📡

Remote Monitoring & Home Rehabilitation

Clinicians review patient therapy data remotely, tracking exercise completion and movement quality between visits. In the community trial, 96 participants across 61 households completed home-based therapy over 3 months — demonstrating that remote rehabilitation can produce measurable outcomes (23% avg improvement) outside clinical settings.

  • Remote access to patient session data
  • Monitor therapy adherence between hospital visits
  • Community-validated across 61 households
Research & Development

Built Through Research & Collaboration

NeuronFRAMES is developed through academic research, innovation competitions, and collaboration with rehabilitation professionals who inform every design decision.

🔬

Academic Research

The project is grounded in research on computer vision for movement analysis, gamification in healthcare, and accessible rehabilitation technology. Each module is informed by existing evidence on effective therapy delivery.

👨‍⚕️

Clinical Feedback

Physiotherapists, occupational therapists, and speech-language professionals provide ongoing guidance to ensure the system's exercises, metrics, and interfaces align with real clinical workflows and patient needs.

🏗️

Innovation & Prototyping

NeuronFRAMES has been developed through iterative prototyping cycles, incorporating user testing, hardware integration experiments, and software architecture improvements at each stage.

💻 Web Technologies (HTML/CSS/JS)
📷 Computer Vision Pose Detection
🔌 Arduino Microcontrollers
🎙️ Web Speech API
📊 Data Visualization
🎮 Browser-Based Games

Published Research

Peer-Reviewed
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 and awarded People's Choice Award.

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

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

Chacharin Lertyosbordin, Maythus Tangprapa, Nuntipat Jiwasurat — IEEE Xplore listing of the HRI 2025 conference paper.

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

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

Nuntipat Jiwasurat, Maythus Tangprapa, Filippo Sanfilippo — Presents a gamified rehabilitation system combining mirror therapy with FSR-based input for stroke recovery.

Proceedings of the 1st International Symposium on Biomechatronics and Robotics in Healthcare (BioMRH 2025) · Lecture Notes in Networks and Systems, Springer · Forthcoming
Clinical Collaboration

Developed With Clinical Partners

Clinical feedback from rehabilitation professionals at leading institutions helps guide system development — ensuring NeuronFRAMES meets real-world clinical needs.

Hospital Alliances

King Chulalongkorn Memorial Hospital

Chulalongkorn University Department of Physical Medicine and Rehabilitation

Collaborative partnership across three clinical divisions — providing guidance on rehabilitation protocols, patient assessment, therapy design, and technology integration into clinical workflows.

🧠

Occupational Therapy Division

Guiding the design of activities targeting hand coordination, daily living skills, and cognitive exercises for patients recovering from stroke and neurological conditions.

🏥

Inpatient Department

Providing feedback on how NeuronFRAMES integrates into structured therapy schedules, bedside exercise routines, and patient progress monitoring during hospital stays.

🚶

Outpatient Department

Informing how NeuronFRAMES supports continuity of care — enabling patients to continue prescribed exercises at home while clinicians track adherence between visits.

Burapha University Hospital

Rehabilitation Medicine

Contributing clinical feedback on therapy exercise design, patient engagement strategies, and system usability for rehabilitation professionals.

Bangkok International Hospital

Brain x Bone

Collaborating on neurological and orthopedic rehabilitation approaches, integrating clinical expertise in brain and musculoskeletal recovery with technology-assisted therapy.

Academic & Research Partners

University of Agder

Artificial Intelligence, Biomechatronics, and Collaborative Robotics

Research collaboration on AI-driven rehabilitation systems, biomechatronic sensor integration, and collaborative robotics for accessible therapy solutions.

Chulalongkorn University

Faculty of Engineering

Academic partnership supporting engineering research, system architecture development, and technical innovation in rehabilitation technology.

For Healthcare Leaders

Why Hospitals Choose NeuronFRAMES

A rehabilitation platform built for clinical deployment — delivering measurable patient outcomes with minimal infrastructure requirements.

🌐

Accessible Deployment

Runs entirely in a standard web browser. No specialized software installation, no expensive proprietary hardware, and no complex IT infrastructure. A webcam, internet connection, and browser are all that is needed to begin delivering therapy.

🎮

Increased Patient Engagement

Gamified therapy exercises produce measurably higher adherence rates compared with traditional repetitive rehabilitation. Patients are more likely to complete their prescribed programs when therapy feels engaging rather than monotonous.

📐

Scalable Rehabilitation

Supports both in-clinic supervised sessions and remote home-based rehabilitation. A single platform serves patients across multiple care settings — reducing the gap between hospital visits and enabling continuous therapy.

📊

Objective Data Collection

Every therapy session generates quantitative metrics — repetition counts, movement accuracy, reaction times, grip strength, and speech response data. Clinicians receive objective evidence to support treatment planning and outcome reporting.

Get In Touch

Interested in NeuronFRAMES?

Whether you are a rehabilitation professional, researcher, educator, or student interested in accessible therapy technology — we welcome your questions, feedback, and collaboration ideas.

📧
Email
admin@neuronframes.com ↗
🔬
Project Focus
Research & Innovation in Rehabilitation
🛠️
Technology Stack
HTML · CSS · JS · Arduino
🤝
Open To
Academic collaboration & clinical feedback

Send Us a Message