Camera Angle Quality
Camera angle quality describes how well the recording position allows the system to see the relevant joints and movement plane. This means the single biggest controllable factor in analysis accuracy.
Different shots and sports call for different camera positions. A down-the-line view shows path and plane for golf; a face-on view shows weight shift. In tennis, a side view catches the kinetic chain. In baseball, face-on shows hip-shoulder separation. Recording from the wrong angle is not just suboptimal. This means it can make certain data points impossible to read. The system will label any affected metrics as low-confidence or unresolvable. The setup guides in the app tell you exactly where to stand for your sport and shot type.
Follow the in-app camera setup guide for your sport before recording. Getting the angle right costs nothing and is the single biggest quality improvement most beginners can make.
Record from multiple angles in the same session when possible — face-on and down-the-line together let Motion Lab cross-reference landmarks and produce more reliable 3D reconstructions.
Example
A golf video shot directly behind the ball (down-the-line) lets the engine read swing plane accurately; a 45-degree angle reduces that to an estimate.
Why it matters
You control where the camera goes. Getting the angle right costs nothing and is the easiest way to raise your analysis quality score.
How it shows up on video
Compare the skeleton overlay against the expected joint positions. This means if the hip or shoulder landmarks are clearly displaced from your actual body, the angle is probably wrong for that shot type.
Common mistakes
- Recording from a 45-degree angle thinking it captures both views — it actually reduces the accuracy of both.
- Setting the camera too close, cutting off the feet or club at key moments.
- Assuming any angle works for any sport — each sport and shot type has a recommended primary angle.
- Not checking the skeleton overlay after upload to confirm the angle was correct.
In SwingVantage Motion Lab
Motion Lab uses the recorded angle as its primary reconstruction input. A correct angle produces a 3D avatar that matches your real movement. A poor angle produces a plausible-looking but geometrically incorrect avatar that can mislead analysis.
Related terms
- Video Quality ScoreA Video Quality Score is a pre-analysis rating (0–100) that tells you how usable a submitted clip is before pose estimation begins. This means catching bad angles, motion blur, or poor lighting early.
- Pose EstimationPose estimation is the computer-vision process that detects the positions of major body joints (keypoints) in each video frame. This produces the skeleton that SwingVantage uses to measure angles and movement patterns.
- Skeleton OverlayA skeleton overlay is the on-screen visualization of detected body joints and the lines connecting them, drawn over your video. As a result, you can see exactly what the system tracked.
- Mobile Motion CaptureMobile motion capture is the process of using a smartphone camera and on-device pose estimation to track body movement in real time or from a recorded clip. This means no specialized hardware required.
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