| Title |
Design Evaluation of a Motion-Vision Sensor Fusion System for Golf Swing Trajectory Correction |
| Authors |
홍건호(Geonho Hong) ; 서현빈(Hyeonbin Seo) ; 오준화(Junhwa Oh) ; 조에디(Eddie Cho) ; 김태은(Taeeun Natalie Kim) ; 황지창(Jichang Hwang) ; 문기량(Giryang Moon) ; 오세용(Seyong Oh) |
| DOI |
https://doi.org/10.5370/KIEE.2026.75.5.1115 |
| Keywords |
Golf swing analysis; Inertial measurement unit; Vision-based face angle estimation; High-speed global-shutter imaging; Ring buffer acquisition; Launch monitor comparison |
| Abstract |
This paper examines a trigger-assisted vision module that complements a club-mounted inertial measurement unit (IMU) for golf swing measurement and impact-centered sensing, with a focus on club-face angle estimation. IMU sensors provide kHz-rate motion trajectories, but drift accumulation and impact-induced disturbances can degrade absolute orientation measurements. We conduct a feasibility study with an experimental setup that captures high-speed global-shutter stereo images under external illumination. To obtain impact-centered frames without continuous storage, the system writes frames to a ring buffer and retains only a short window of frames when a frame-level ball-presence event occurs. The system detects three markers on a club-head fixture and reconstructs their 3D positions using stereo geometry and OpenCV-based geometric estimation. The club-face angle is computed as a relative rotation with respect to a base reference frame captured in a nominal square configuration. We evaluate the end-to-end acquisition and face-angle estimation pipeline using a fixture-based angle test with ground-truth angle settings, and we quantify errors by comparison with an independent top-view measurement. The results indicate that the proposed frame-limited, impact-centered vision measurements can provide repeatable angle references and can support future integration with IMU measurements through precise time alignment and fusion. |