Motion Tracking
Tracks finger bending, hand orientation, and rehabilitation movements using embedded wearable sensors.
01 Smart Rehabilitation Technology
Introducing GloveXcel
Rehabilitation Made Smarter at Home.
Smart Home-Based Hand Rehabilitation System
A wearable rehabilitation glove that helps patients perform hand therapy exercises at home with motion tracking, real-time visual guidance, and therapist-guided progress monitoring.
- Wearable Motion Tracking
- Five-Finger Visual Guidance
- Remote Therapist Monitoring
- Home-Based Rehabilitation
Motion SensorsMovement capture
ESP32 ControlLive processing
Visual LimitsPer-finger guidance
Force ControlAdjustable resistance
Purpose-built technology
Technology Designed to Support Better Rehabilitation
Connected tools that turn repeated hand therapy into a guided, visible process.
Visual Finger Guidance
Five live sliders show each finger’s current angle, prescribed limit, and exceeded-limit state.
02Exercise Analytics
Records repetitions, angles, force levels, exercise sessions, and rehabilitation progress.
03Remote Monitoring
Allows doctors and therapists to review patient performance and rehabilitation history remotely.
04
One connected journeyGlove, patient & therapist
About GloveXcel
Accessible and Measurable Home Rehabilitation
GloveXcel is a rehabilitation system created to make hand therapy more accessible, interactive, and measurable. It is designed for patients who require repeated hand exercises but may experience difficulty travelling to therapy centres regularly.
GloveXcel combines wearable sensors, an ESP32-based control unit, visual finger guidance, and a responsive dashboard to guide patients through rehabilitation exercises. The system allows patients to complete therapy sessions from home while giving therapists access to progress data.
- Patient-specific calibration
- Therapist-defined exercise targets
- Live movement monitoring
- Session and progress analytics
- Resistive force adjustment
- Remote therapy supervision
The need
The Rehabilitation Challenges GloveXcel Addresses
01
Patients recovering from stroke, arthritis, or surgery often require continuous hand therapy.
02
Travelling to therapy centres can be difficult for patients with mobility limitations.
03
Home rehabilitation exercises are difficult to monitor accurately.
04
Patients may perform movements incorrectly without real-time feedback.
05
Therapists need better methods to monitor patient progress remotely.
What we set out to do
Project Objectives
Seven engineering goals connect wearable sensing with practical, supervised therapy outside the clinic.
- 01
Track finger and hand movements using embedded sensors.
- 02
Show each finger’s movement, safe limit, and exceeded-limit warning in real time.
- 03
Support patient calibration and doctor calibration.
- 04
Allow patients to complete self-guided rehabilitation exercises.
- 05
Allow therapists to monitor patient progress remotely.
- 06
Store and visualise exercise and session data.
- 07
Improve access to rehabilitation outside clinical environments.
Key functionalities
A Connected System for Guided Recovery
From the first calibration to long-term session review, each feature supports a clearer rehabilitation workflow.
Motion Tracking
Tracks finger and hand movement using embedded wearable sensors.
Per-Finger Visual Sliders
Displays the live angle and doctor-defined maximum separately for the thumb, index, middle, ring, and pinky.
Patient Calibration
Stores patient-specific minimum and maximum finger movement values.
Doctor Calibration
Stores doctor or reference movement values for comparison with patient performance.
Live Exercise Mode
Displays real-time glove movement and monitors the patient’s current hand motion.
Preloaded Exercise Mode
Supports assigned rehabilitation exercises with target repetitions, sets, and force levels.
Progress Analytics
Tracks exercise performance, maximum angles, repetitions, and session history.
Therapist Monitoring
Allows therapists to review patients, assigned exercises, and rehabilitation progress.
Resistive Force Control
Uses adjustable motor force levels to provide therapeutic resistance during exercises.
Clear visual feedback
Understand Every Finger at a Glance
GloveXcel turns the five live sensor readings into simple movement sliders, making the prescribed range easy for patients and therapists to understand.
- A separate slider identifies every finger
- Blue fill follows the current calibrated angle
- A clear marker shows the doctor-defined maximum
- Green indicates movement close to the target
- Red highlights the individual finger that exceeds its safe limit
- Current and maximum angles remain visible side by side
How it works
From Hand Movement to Meaningful Feedback
A five-stage path converts physical movement into guidance and reviewable progress data.
Sensor Data Collection
Sensors capture finger bending, hand orientation, force, and hand movement.
ESP32 Processing
The ESP32 reads sensor values and communicates with the rehabilitation application.
Movement Comparison
Live movements are compared with patient calibration, doctor calibration, or exercise targets.
Visual Limit Guidance
Five sliders identify fingers approaching their targets and clearly highlight any exceeded limit.
Progress Recording
Exercise results and analytics are stored for patient and therapist review.
Hardware components
Engineering the Wearable System
A coordinated set of sensors, control electronics, resistance hardware, and mechanical elements.
Potentiometers
Measure finger joint movement.
Strain Gauges
Detect bending and force-related changes.
Accelerometers
Track hand orientation and motion.
ESP32 Microcontroller
Processes sensor data and manages wireless communication.
Encoder Motor
Supports adjustable resistive force control.
Spring Mechanism
Creates therapeutic resistance during finger movement.
Rechargeable Battery
Powers the wearable glove system.
Glove Structure
Holds the sensors, control components, and mechanical elements securely on the hand.
Software & technologies
A Complete Project Architecture
The wider GloveXcel project connects role-based interfaces, wireless communication, APIs, and structured data services. This website is a static project showcase only; these services are presented as system architecture and are not implemented here.
Node.jsExpressMongoDBBluetooth / BLE3D Visualisation
Rehabilitation Experience
Responsive patient and doctor dashboards with interactive 3D hand visualisation.
Device Communication
Bluetooth or BLE and wireless glove communication.
Role Authentication
Access architecture for admin, doctor, and patient roles.
Data & Services
Node.js, Express, MongoDB or database storage.
Project APIs
Calibration · Exercise · Live analytics · Preloaded analytics · Force control · Therapy sessions
Role-based workflows
Designed Around Every User
01
Admin
- Secure administrator access
- Registers hospital information
- Reviews and approves doctor requests
- Manages system users and access
02
Doctor or Therapist
- Account registration, approval, and profile management
- Accepts requests and manages patient relationships
- Captures reference calibration poses
- Builds dated live and preloaded exercise plans
- Sets five-finger targets, repetitions, sets, and force
- Monitors raw values, angles, message rate, and 3D motion
- Reviews compliance, repetition peaks, and per-finger charts
03
Patient
- Secure sign-in with an optional Google account
- Finds a doctor and requests guidance
- Connects the glove through BLE with reconnection support
- Calibrates minimum and maximum movement for five fingers
- Follows live or assigned exercise plans
- Sees calibrated angles, safe limits, and a responsive 3D hand
- Receives separate visual guidance for every finger
- Tracks repetitions, sets, peak angles, sessions, and progress
System modules
One Integrated Platform
Nine coordinated modules support the complete therapy journey.
Use cases
Rehabilitation That Fits Real Life
Home-Based Therapy
Complete guided hand rehabilitation sessions from home.
Stroke Recovery
Support repeated hand exercises during recovery workflows.
Arthritis Mobility
Support structured hand and finger mobility exercises.
Post-Surgery Therapy
Guide assigned finger movement exercises after surgery.
Remote Guidance
Connect patient activity with therapist review and direction.
Interactive Sessions
Make therapy more engaging through visible feedback and goals.
Project benefits
Improving Rehabilitation Beyond the Clinic
GloveXcel explores how engineering can make prescribed hand exercises easier to access, follow, and review.
- Reduces the need for frequent hospital or clinic visits
- Helps patients perform exercises correctly
- Makes rehabilitation more interactive
- Supports remote progress monitoring
- Helps therapists adjust therapy using recorded data
- Encourages consistent rehabilitation practice at home
- Provides measurable progress tracking
Modules
Roles
Modes
Project scope at a glance
Testing & evaluation
Prototype Validation Across the System
Testing covers sensing, calibration, feedback, exercise flows, services, analytics, and prototype usability—without unsupported clinical claims.
Sensor Accuracy
Sensor readings reviewed across intended hand movements.
Patient Calibration
Patient range capture and stored values checked.
Doctor Calibration
Reference movement capture and comparison checked.
Visual Limit Feedback
Per-finger target, near-limit, and exceeded-limit states tested against calibrated angles.
Exercise Tracking
Repetitions, targets, and movement records checked.
Live Exercise Mode
Real-time movement workflow and display verified.
Preloaded Exercise Mode
Assigned exercise flow and target handling verified.
Platform Services
Data, authentication, exercise, and therapy-session services tested within the wider system.
Progress Analytics
Session records and analytical views evaluated.
Prototype Usability
Overall prototype interaction and workflow evaluated.
Prototype gallery
Prototype and System Interface
The people behind the project
Meet the GloveXcel Team
AA
E/21/006Abeykoon A.M.U.I.B.
AA
E/21/007Abeynayake A.G.C.D.
EE
E/21/124Ekanayake E.M.D.A.
TL
E/21/410Thilakarathne L.R.O.S.
Developed as a 3rd Year Undergraduate Project in Computer Engineering.
GloveXcel
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Smart Technology for Accessible Rehabilitation
GloveXcel combines wearable sensing, real-time feedback, exercise guidance, and progress monitoring to support effective home-based hand rehabilitation.