EZCap - Effortless Motion Capture & Biomechanics

Research & Publications

Clinical Biomechanics 2025

Feasibility of automatic knee kinematic feature learning for discriminating between individuals with and without a history of an anterior cruciate ligament reconstruction

BR Butler, B Gholami, BZW Low, Q Mei, D Hollinger, Z Altai, DW Evans, et al. Innovative machine learning approach for automatic detection of ACL reconstruction history using knee kinematic features.

Read Paper

Frontiers in Bioengineering and Biotechnology 2025

Self-supervised learning enhances accuracy and data efficiency in lower-limb joint moment estimation from gait kinematics

Y Li, J He, B Liew, DS Hollinger, Q Mei, B Gholami, M Fasli, et al. Advanced self-supervised learning techniques improving joint moment estimation accuracy and reducing data requirements for gait analysis.

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5G4PHealth Project - Funded by Innovate UK 2023-2026

5G-Enabled Remote Healthcare Monitoring and AI-Powered Motion Analysis

Ongoing research developing infrastructure and protocols for real-time motion analysis in telehealth applications using 5G networks, machine learning, and computer vision technologies for clinical assessment.

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Published Papers

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Citations

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Collaborating Institutions

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Research Funding

Meet Our Team

World-class researchers and engineers pushing the boundaries of healthcare technology

Dr. Xiaojun Zhai

Reader & Principal Investigator

University of Essex

Lead Expert in AI and PI of the Embedded Intelligent Systems (EIS) Laboratory at the School of Computer Science and Electronic Engineering (CSEE).

Dr. Bernard Liew

Senior Lecturer

University of Essex

School of Sport, Rehabilitation and Exercise Sciences. Physiotherapist and biomechanist with expertise at the intersection of rehabilitation, movement science, and machine learning.

Dr. David Hollinger

Senior Research Officer

University of Essex

Expert in AI, biomechanics, and wearable technology with extensive research in motion analysis and healthcare applications.

Behnam Gholami

PhD Student

University of Essex

School of Sport, Rehabilitation, and Exercise Sciences. Specializes in AI deployment and data curation and management of large biomechanical datasets.

EZBatch - Batch Video Analysis

Process multiple videos at once with our desktop application

Analyze Multiple Videos Effortlessly

Desktop application for bulk video processing • Simple drag-and-drop • Automatic CSV export

Free • No installation required • Works offline

Lightning Fast

Process dozens of videos in minutes, not hours

Drag & Drop

No complex setup - just drag your videos and go

CSV Export

Automatic export ready for Excel or statistical analysis

How to Use EZBatch

1

Open the Application

Download and run pose_extractor.exe - no installation needed. The application will open instantly.

Tip: Windows may show a security warning - click "Run anyway"

2

Select Video Files

Click "Select Videos" or drag and drop your video files directly into the application window. Select multiple files at once.

Tip: Supports MP4, AVI, MOV, and WebM formats

3

Choose Output Folder

Select where you want to save the results. CSV files will be automatically created - one for each video analyzed.

Tip: CSV files include frame-by-frame joint angles & confidence scores

That's it! Click "Start Analysis" and watch the progress

Processing videos...

System Requirements

Operating System: Windows 10 or later

RAM: 4GB minimum (8GB recommended)

Storage: 500MB free space

Processor: Intel Core i3 or equivalent

Frequently Asked Questions

Is my video data uploaded anywhere?

No! EZBatch processes everything locally on your computer. Your videos never leave your device, ensuring complete privacy and GDPR compliance.

How many videos can I process at once?

There's no hard limit! You can select as many videos as you want. Processing time depends on your computer's performance and video file sizes. Each video is processed sequentially.

What data is included in the CSV files?

Each CSV contains: frame number, timestamp, joint angles (hip, knee, ankle, elbow, shoulder), keypoint coordinates (x, y), and confidence scores for each detection. Perfect for biomechanical analysis!

Do I need an internet connection?

No internet required! Once downloaded, EZBatch works completely offline. Process videos anywhere - in the lab, clinic, or field.

Secure • Privacy-first • Free forever

User Reviews & Feedback

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About EZcap

We're revolutionizing healthcare through cutting-edge motion analysis technology, making advanced biomechanical assessment accessible to clinicians worldwide.

Funded by Innovate UK, our platform combines state-of-the-art computer vision, machine learning, and clinical expertise to deliver precise, real-time motion analysis. From gait assessment to hand function evaluation, we provide healthcare professionals with the tools they need to make better clinical decisions.

Musculoskeletal Disease Prevalence

1.71 billion people worldwide affected by musculoskeletal conditions (WHO, 2023)

Global Burden of Disease

Leading cause of disability globally - 149 million DALYs lost annually (WHO)

AI-Powered Solution

Accessible, validated technology enabling early detection and remote monitoring of movement disorders

Powered By

JavaScript

TensorFlow

OpenCV

WebGL

5G Networks

WebRTC

Ready to Transform Your Practice?

Join leading healthcare institutions using our motion analysis platform

Contact Us

Get in touch with our team - we'd love to hear from you

Location

University of Essex
Wivenhoe Park
Colchester, CO4 3SQ
United Kingdom

Email

dh25587@essex.ac.uk

Phone

+44 (0)1206 873333

EZCap Effortless Motion Capture in Three Clicks

What Can You Do With EZCap?

Gait & Movement

Hand & Wrist

Trunk Control

Clinical Protocols

Instant Feedback

Research & Publications

Feasibility of automatic knee kinematic feature learning for discriminating between individuals with and without a history of an anterior cruciate ligament reconstruction

Self-supervised learning enhances accuracy and data efficiency in lower-limb joint moment estimation from gait kinematics

5G-Enabled Remote Healthcare Monitoring and AI-Powered Motion Analysis

0

0

0

0

Meet Our Team

Dr. Xiaojun Zhai

Dr. Bernard Liew

Dr. David Hollinger

Behnam Gholami

EZBatch - Batch Video Analysis

Analyze Multiple Videos Effortlessly

Lightning Fast

Drag & Drop

CSV Export

How to Use EZBatch

Open the Application

Select Video Files

Choose Output Folder

System Requirements

Frequently Asked Questions

User Reviews & Feedback

Leave Your Review

What Users Are Saying

About EZcap

Musculoskeletal Disease Prevalence

Global Burden of Disease

AI-Powered Solution

Powered By

Ready to Transform Your Practice?

Contact Us

Location

Email

Phone

EZCap
Effortless Motion Capture in Three Clicks