The global golf training aids market is experiencing sustained growth (Figure 1). As players increasingly demand data-driven insights to understand their swing, sports-tech brands require accessible tools for golf swing analysis. To address this market need, LIPS provides a complete solution. Built upon our core LIPSense™ 3D Body Pose SDK, we have integrated our proprietary AI layers—including specialized club-and-ball tracking and advanced Vision-Language Models (VLMs)—into a unified offering. This integrated system equips developers to deliver an AI virtual golf coach with personalized, actionable feedback on swing mechanics.
Figure 1. Global golf training aids market forecast. Source: Data Bridge Market Research
Here is a breakdown of how this next-generation golf analysis system is built, the commercial benefits it unlocks, and how you can partner with LIPS to bring this solution to market.
Step-by-Step Implementation: How the AI Virtual Coach Works
Building a virtual golf coach requires accurate spatial perception and intelligent data processing. The system accomplishes this through four key implementation stages:
1. Skeletal Tracking via LIPSense™ 3D Body Pose SDK
The foundation of any golf swing analysis is precision movement capture. The system uses the LIPSense™ 3D Body Pose SDK to recognize critical skeletal key points (head, shoulders, elbows, wrists, hips, knees, and ankles) (Figure 2). This allows the software to track the golfer’s movements smoothly across multiple axes, removing the need for restrictive wearable markers.
Figure 2. Skeletal keypoints customized for golf swing analysis
2. Tracking the Club, Ball, and Swing Phases
Accurately identifying and tracking the golf club and ball is essential for determining the precise phase of a golf swing. To achieve this, LIPS has trained a specialized AI model designed to detect and trace both the club and the ball in motion (Figure 3).
Figure 3. Golf club and ball keypoints
By combining this object-tracking data with the user’s skeletal metrics, the system improves the accuracy of swing phase segmentation. This multi-layered data approach allows the platform to break down the continuous motion into 8 distinct phases (Address, Toe-up, Mid-backswing, Top, Mid-downswing, Impact, Mid-follow-through, Finish) (Figure 4).
Figure 4. Eight phases of a golf swing
3. Expert Matching
Evaluating a golf swing can be highly subjective, as there is often no single “perfect” standard for everyone. However, mirroring and mimicking professional form remains an effective way to learn and improve. To bridge this gap, the system cross-references the user’s segmented swing phases with an extensive professional biomechanical database to identify the closest expert match (Figure 5). The core logic of this matching system is not to force users into a rigid template, but to find an expert with a similar physical build and swing archetype, maximizing the personalization of the coaching experience.
Figure 5. Match the user’s swing posture with experts
4. VLM Feedback
Once the closest match is established, the system leverages Vision-Language Models (VLMs) to perform a detailed comparative analysis. Traditional analysis tools output overwhelming charts and numbers that casual players can find difficult to interpret. By integrating a VLM, the architecture translates complex biomechanical deltas (such as hip rotation discrepancies or improper wrist cocking) into natural, conversational, and highly intuitive human language, offering feedback in the style of a professional coach. Instead of just showing rigid raw data, the VLM generates natural, actionable coaching feedback based on the exact differences between the user’s posture and the matched expert’s posture, guiding the user toward a more optimized technique.
Key Business Benefits
- Markerless Setup: Users practice naturally without body-worn tracking sensors or markers.
- Pro-Level Insights: Generative VLMs provide clear, human-like, and highly contextual coaching advice.
- Rapid Time-to-Market: Mature total solutions optimize engineering workflows and accelerate your development cycle.
Partner with LIPS
Whether you are looking to revolutionize golf training or develop computer vision applications for other disciplines, LIPS is ready to support your vision. Our robust SDKs can be easily customized for a wide range of athletic tracking needs. If you have requirements for other sports analysis projects (such as basketball, baseball, fitness tracking, or interactive gaming), we welcome the opportunity to discuss your specific goals.
Explore the LIPSense™ 3D Body Pose SDK documentation.
Contact the LIPS Team today to schedule a technical consultation or explore business partnership opportunities.