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Motion Analysis
Animation for AI

Professional Work: Chetu

Disclaimer: To uphold the confidentiality of the client, the actual project name or any technical information is not displayed. The image displayed is an iteration which was not used in the actual project.

About the Project

The project objective was to develop a Neuro Checker Application…

The aim of the application was to improve ‘stroke patient care’ by improving the accuracy and reliability of neurocognitive assessment. The application was to be a stroke patients constant bedside companion that gathers objective data derived from current testing standards to detect real-time neurological decline.. We started with working on a 3D Model to create the various animations required to provide instructions in the application and later on artificial intelligence to detect the various movements in the application.

Key Features

Below are the key features that were considered while developing the application:

  • Simplifying complicated user experience. 
  • Continuous and prompted objective data.
  • Minimal Nurse setup and calibration time.
  • Indirect Cost reduction.
  • Improved accuracy and reliability.
  • Ease of use.
  • Does not impede the current standard of care.

The Challenge

The main challenge was to detect the facial droop accurately.

The Solution

The camera captures the data and 9 DOF worth of information • Smart phone app converts data into a 3D model • The 3D model then displays the range of motion and other information which will be used to generate the NIHSS Stroke Scale Scoring Sheet…

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