iPi Soft

Motion Capture for the Masses

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iPi Motion Capture for Human Motion Analysis

iPi Motion Capture with Biomech Add-on is a convenient tool for in-depth biomechanical analysis of human motions. It includes markerless tracking and visualization of motion capture tracking data and its export to various formats. It can be used for:

  • Gait analysis and rehabilitation
  • Sports motion analysis
  • Research in 3D human kinematics


iPi Motion Capture

Tracks human body motions
Works with Kinects or webcameras
Does not require clumsy suits or markers
Works in regular office environments
Accurate. Easy. Affordable
Kinect_for_Win_img2 Kinect_for_Win_img2

iPi Biomech Add-on

Extracts motion data for selected bones
Uses convenient coordinate systems
Plots data for selected bones
Exports motion data to Excel or MATLAB
Export point cloud data


Dawe RJ, Yu L, Leurgans SE, Truty T, Curran T, Hausdorff JM, et al.
Expanding instrumented gait testing in the community setting: A portable, depth-sensing camera captures joint motion in older adults. Link>>
PLoS ONE 14(5): e0215995, 2019

Kotsifaki A, Whiteley R, Hansen C.
Dual Kinect v2 system can capture lower limb kinematics reasonably well in a clinical setting: concurrent validity of a dual camera markerless motion capture system in professional football players BMJ. Link>>
Open Sport & Exercise Medicine 2018;4:e000441. doi: 10.1136/bmjsem-2018-000441

Michael T. M. Finn, Connor L. Smith, and Michael R. Nash
Open-Ended Measurement of Whole-Body Movement: A Feasibility Study PDF>>
The Quantitative Methods for Psychology. Vol. 14, no.1, 2018. ISSN: 2292-1354

Gabbasov B., Danilov I., Afanasyev I., and Magid E.
Toward a human-like biped robot gait: Biomechanical analysis of human locomotion recorded by Kinect-based motion capture system PDF>>
Proceedings of the IEEE 10th International Symposium on Mechatronics and its Applications (ISMA15), Sharjah, UAE (December, 2015). pp. 1–6, 2015. ISBN: 978-1-4673-7796-6. DOI: 10.1109/ISMA.2015.7373477

Danilov I., Gabbasov B., Afanasyev I., and Magid E.
ZMP trajectory from human body locomotion dynamics evaluated by Kinect-based motion capture system PDF>>
Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP-2016, Rome, Italy). V.3, 160-166. (February, 2016). DOI: 10.5220/0005726001600166 ISBN: 978-989-758-175-5.

Dohyung Lim, ChoongYeon Kim, HoHyun Jung, Dukyoung Jung, Keyoung Jin Chun
Use of the Microsoft Kinect system to characterize balance ability during balance training PDF>>
Clinical Interventions in Aging, June 2015.

Ting Ting An Shen
Markerless Motion Capture for Biomechanical Analysis Using the Kinect Sensor PDF>>
Institute of Industrial and Control Engineering, ETSEIB, Spain, Bachelor Thesis, June 2014.

SangHyun Lee, Thomas J. Armstrong
Field Tool for On-Site Biomechanical Analysis During Ladder Climbing PDF>>
The Center for Construction Research and Training, www.cprw.com, Report, April 2014.

Streit P., Monat A., Guimarães C., Zamberlan M., Ribeiro F., Oliveira J.
Comparison and Evaluation of Kinematic Parameters of MOCAP Systems PDF>>
Proceedings of Digital Human Modeling Symposium 2013.

Arai K., Asmara R.
3D Skeleton model derived from Kinect Depth Sensor Camera and its application to walking style quality evaluations PDF>>
International Journal of Advanced Research in Artificial Intelligence,Vol. 2, No. 7, 2013.