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Related Experiment Video

Updated: Sep 11, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

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Gait Analysis Using an Artificial Intelligence-Based Motion Capture System With a Single Smartphone Camera.

Takuya Usami1, Masaya Kisohara2, Kazuki Nishida3

  • 1Department of Orthopedic Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, JPN.

Cureus
|August 14, 2025
PubMed
Summary

This study shows that an AI-based motion capture system using a smartphone can accurately measure gait parameters like velocity and step length. While effective for many applications, it showed lower accuracy for gait cycle time and minimum knee flexion.

Keywords:
artificial intelligencegait analysisiphonemotion capturesmartphone camerasportip motion 3d

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Area of Science:

  • Biomechanics
  • Human Motion Analysis
  • Artificial Intelligence in Healthcare

Background:

  • Conventional infrared motion capture systems for gait analysis are costly and space-intensive.
  • Artificial intelligence (AI) offers a potential alternative for accessible gait analysis.

Purpose of the Study:

  • To evaluate the effectiveness of an AI-based motion capture system utilizing a single smartphone camera.
  • To compare its accuracy against a traditional infrared-based motion capture system.

Main Methods:

  • Simultaneous capture of 22 straight walks from healthy volunteers using a smartphone (iPhone X) and an infrared system.
  • Analysis of gait videos via the Sportip Motion 3D AI system for smartphone data.
  • Comparison of gait parameters: velocity, cycle time, step length, and hip/knee flexion angles.

Main Results:

  • High accuracy and correlation coefficients were found for gait velocity (r=0.94), step lengths (r=0.91-0.93), and maximum hip/knee flexion angles (r=0.71-0.93).
  • Similar hip and knee flexion angle graph shapes were observed between the AI and infrared systems.
  • Lower correlation coefficients were noted for gait cycle time (r=0.68) and minimum knee flexion angles (r=0.30-0.47).

Conclusions:

  • An AI-based system with a smartphone camera offers reliable gait parameter measurement for specific applications.
  • This technology presents a more accessible alternative to conventional motion capture systems.