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Let's Talk About Your Application
Tell us what you are measuring, how many sensors you need and in what environment. We will tell you whether QSense fits, which configuration to use and what the integration would take.
The hardware, firmware and sensor fusion algorithms are built in-house, so the answers come from the people who made them.
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Not ready for a call? Send us the question - sensor placement, sample rates, data formats or integration - and you will get a technical answer.
Blog
Latest from our blog
QSense Update: 18 Sensors, On-Sensor Recording and the HUB in One App
The latest QSense update adds on-sensor recording, two-dongle support for up to 18 synchronized sensors, and full FieldSync HUB integration.
Machine Learning Gait Analysis: How AI and Fewer IMU Sensors Are Reshaping Motion Capture
1. Doing more with fewer sensors: ML-based fusion and sensor reduction The conventional path to better motion data was to ...
The Best IMU Sensor for Gait Analysis Research: What Actually Matters
Why IMUs took over gait analysis Optical motion capture remains the historical gold standard, but it is expensive, fixed to ...
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