OUR PHILOSOPHY & HISTORY
Imagine it, Measure it, Act on it
Imagine a world where every movement is not just observed or measured but deeply understood and anticipated.
A world where our physical actions are decoded to the extent that we can optimize health, performance, and innovation at every level.
A world where:
Personalized care is the norm, whether monitoring rehabilitation or fitting prosthetics.
Athletes, soldiers, and professionals in high-stakes environments harness data-driven insights to refine their performance.
Researchers access unprecedented levels of data, enabling breakthroughs in biomechanics and related fields.
Predictability in movement leads to smarter wearable technology, improved workplace ergonomics, and safer urban environments. By turning reactive measures into proactive strategies, industries save billions in healthcare costs, reduce workplace injuries, and drive new markets around personalized and predictive technologies.
To get there, we build software applications that give users like you ultimate confidence in your moments of truth.
Our Philosophy
Motion capture technology and the methods of quantitative analysis are evolving. This work is detailed and rife with opportunities to make mistakes. Software tools like Visual3D and Sift help, by eliminating common computation errors and making the processing history of all data available for inspection, but there is little any automated system can do to protect against incorrect input data or unwarranted assumptions — that is up to you.
At HasMotion, our core philosophy is that you are in charge of your analysis.
You get to decide the data you want to collect, how you will model it, and which questions you want to ask. So the first thing we want is for you to know your data.
Valid, reproducible results require you know your data.
Where it comes from, its specific nature and characteristics. Even more important, you must know what assumptions you are making about your data and have evidence that these assumptions are warranted.
A corollary of this principle is that your analysis should always begin with input data which is as raw as possible. Our applications always preserve your original data and ensure that any processed data contains its entire history. This allows the precise reprocessing of your data at any point in time.
Motion capture technology and the methods of quantitative analysis are evolving. This work is detailed and rife with opportunities to make mistakes. Software tools like Visual3D and Sift help, by eliminating common computation errors and making the processing history of all data available for inspection, but there is little any automated system can do to protect against incorrect input data or unwarranted assumptions — that is up to you.
At HasMotion, our core philosophy is that you are in charge of your analysis. You get to decide the data you want to collect, how you will model it, and which questions you want to ask. So the first thing we want is for you to know your data.
Valid, reproducible results require you to be able to know your data: where it comes from, its specific nature and characteristics. Even more important, you must know what assumptions you are making about your data and have evidence that these assumptions are warranted.
A corollary of this principle is that your analysis should always begin with input data which is as raw as possible. Our applications always preserve your original data and ensure that any processed data contains its entire history. This allows the precise reprocessing of your data at any point in time.
History
2008
The “HAS” stands for founder Scott Selbie’s three children.
2012
HasMotion begins collaboration on a first NSERC Grant, “Statistical Models for Establishing a Control Data set for Biomechanical Gait Analysis” with researchers at Queen’s University.
2013
Collaborative research project “Inertial sensor for 3D joint kinematics estimation: Calibration and protocol development” begins.
HasMotion is the industry partner for a Mitacs Accelerate project “Mimicking medial-knee brace gait using PCA and biofeedback.”
2014
Collaborative research project “Implementing dual quaternions as a basis for sensor fusion” begins.
2015
Collaborative research project “Camera-based calibration and testing of inertial sensors in 3D joint kinematics estimation.”
2016
HasMotion supports the commercialization of waveform-based Principal Component Analysis, resulting in C-Motion’s Inspect3D application.
2018
HasMotion announces the development of a markerless motion capture solution in partnership with C-Motion with the talk “Beyond Visual3D” at the Canadian Society for Biomechanics/Société canadienne de biomecanique conference in Halifax, Nova Scotia.
2019
Collaborative project “Extending 3D markerless tracking for biomechanical analysis of human gait” begins.
2020
HasMotion and C-Motion’s joint markerless motion capture solution is spun out as an independent company: Theia Markerless.
2024
HasMotion acquires all of C-Motion’s intellectual property and becomes responsible for the development and maintenance of Visual3D.
Collaborative research project “Anomaly Detection in Biomechanical Waveforms” begins.
Sift is released in March of 2024.
HasMotion’s internal research team gives its first podium talk at CSB in Edmonton.
Today
HasMotion continues to build cutting-edge software applications to support researchers and engineers around the world in their quest to understand human movement.
History
2008
The “HAS” stands for founder Scott Selbie’s three children.
2012
HasMotion begins collaboration on a first NSERC Grant, “Statistical Models for Establishing a Control Data set for Biomechanical Gait Analysis” with researchers at Queen’s University.
2013
Collaborative research project “Inertial sensor for 3D joint kinematics estimation: Calibration and protocol development” begins.
HasMotion is the industry partner for a Mitacs Accelerate project “Mimicking medial-knee brace gait using PCA and biofeedback.”
2014
Collaborative research project “Implementing dual quaternions as a basis for sensor fusion” begins.
2015
Collaborative research project “Camera-based calibration and testing of inertial sensors in 3D joint kinematics estimation.”
2016
HasMotion supports the commercialization of waveform-based Principal Component Analysis, resulting in C-Motion’s Inspect3D application.
2018
HasMotion announces the development of a markerless motion capture solution in partnership with C-Motion with the talk “Beyond Visual3D” at the Canadian Society for Biomechanics/Société canadienne de biomecanique conference in Halifax, Nova Scotia.
2019
Collaborative project “Extending 3D markerless tracking for biomechanical analysis of human gait” begins.
2020
HasMotion and C-Motion’s joint markerless motion capture solution is spun out as an independent company: Theia Markerless.
2024
HasMotion acquires all of C-Motion’s intellectual property and becomes responsible for the development and maintenance of Visual3D.
Collaborative research project “Anomaly Detection in Biomechanical Waveforms” begins.
Sift is released in March of 2024.
HasMotion’s internal research team gives its first podium talk at CSB in Edmonton.
Today
HasMotion continues to build cutting-edge software applications to support researchers and engineers around the world in their quest to understand human movement.