VueMotion
Athletic performance analysis from ordinary phone video
The problem
Motion capture that gives coaches useful biomechanical feedback normally requires a lab, markers and a specialist to interpret the output.
Coaches in the field have a phone and about ninety seconds of attention between drills.
How we approached it
We ran pose estimation on-device to avoid upload latency and to keep athlete video off our servers entirely — a privacy decision that also removed a whole class of compliance work.
The hard problem was not detection but interpretation: raw joint coordinates mean nothing to a coach. We built a rules layer that converts angle sequences into plain-language observations tied to specific frames.
Architecture
Capture
Standard phone camera, 60 fps, no markers or calibration rig.
Pose
On-device landmark extraction; only derived keypoints leave the phone.
Smoothing
Temporal filtering to remove jitter without flattening real movement.
Kinematics
Joint angles, velocities and asymmetry indices computed per frame.
Interpretation
Rules layer maps sequences to coach-readable observations.
Report
Frame-linked feedback, shareable with the athlete.
Outcome
- Analysis turnaround went from days in a lab to under a minute on the sideline.
- No athlete video is transmitted or stored, which removed the client's largest compliance obstacle.
60 fps — on-device motion capture.
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