SecurePose, an open-source software, automates face blurring, human movement kinematics extraction and leg Dystonia diagnosis. The software provides clinical-grade face blurring with minimal manual effort. It was validated on videos recorded in clinical settings. The tool employs pose estimation to track and uniquely identify individuals, recognize patients, perform effective face blurring, and identify leg dystonia. SecurePose surpassed six existing methods in automated face detection and blurring and outperformed human performance in leg dystonia identification. This validation establishes its effectiveness and usability in clinically recorded gait videos for face blurring and kinematics extraction.
For installation,
https://www.rishabh-bajpai.com/secureposeinstallation

Tutorial Videos
https://www.youtube.com/playlist?list=PLO4_jCYO5Ib23MoBpn-Wpj1_b6DAYlDwk

Please cite the paper: https://arxiv.org/abs/2402.14143

Features

  • Automated face blurring
  • Automated Leg dystonia identification
  • Automated full body kinamatics extraction
  • Selective face blurring
  • Improving face blurring quality
  • Project management

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License

Other License

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SecurePose Web Site

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Additional Project Details

Operating Systems

Windows

Intended Audience

Healthcare Industry, Science/Research

Programming Language

Python, C++

Related Categories

Python User Interface (UI) Software, Python Scientific Engineering, Python Artificial Intelligence Software, C++ User Interface (UI) Software, C++ Scientific Engineering, C++ Artificial Intelligence Software

Registered

2023-09-04