모션·비전 센서 융합 기반 골프 스윙 궤적 보정 시스템 설계

초록

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. Copyright © 2026 The Korean Institute of Electrical Engineers This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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