AI Golf Swing Coaching for Remote Lesson Feedback
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Solution Overview
Problem
Existing golf swing analysis systems only provide local analysis and advice, limiting the ability for players to receive remote guidance on their motions.
Innovation Solution
A remote lesson system utilizing a player terminal and a server device with an artificial intelligence function to generate and transmit advice information to a coach terminal, allowing for real-time feedback from a remote location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If local analysis is conducted by the portable terminal, then analysis can be performed without external assistance, but the player cannot receive remote advices about motions while playing
Solution Approach 1:
A server device acts as an intermediary between the player terminal and coach terminal. The server receives measurement data from the player terminal, processes it using AI algorithms, and transmits advice information to the coach terminal, enabling remote communication without direct connection between player and coach devices
Solution Approach 2:
The system transitions from local two-dimensional analysis (player terminal only) to remote three-dimensional analysis by adding the server dimension. This enables advice transmission across spatial dimensions, allowing coaches to provide guidance from any location while the player competes
2Measurement precision
If AI processing is performed on the portable terminal, then real-time analysis is possible, but the terminal requires high computational power and complexity
Solution Approach 1:
The complex AI processing function is extracted from the portable terminal and relocated to the server device. The terminal only needs to collect and transmit measurement data, while the server performs the computationally intensive AI analysis, reducing the complexity requirements of the player's device
Solution Approach 2:
The server device automatically processes measurement data through AI algorithms without requiring manual intervention from the player. The system self-generates advice information based on analyzed motion patterns, providing automated feedback rather than requiring expert analysis for each shot
3Loss of time
If measurement data is collected during play, then real-time feedback can be provided, but data transmission and processing may cause delays
Solution Approach 1:
The server device maintains ready-state AI processing capabilities and pre-configured analysis algorithms before data arrives. When measurement data is transmitted from the player terminal, the server can immediately process it without initialization delays, providing rapid feedback while maintaining analysis accuracy
Solution Approach 2:
The system enables continuous data collection during play with continuous AI processing on the server. The uninterrupted flow of measurement data and analysis ensures real-time feedback without breaks in the useful action, maintaining both speed and reliability of advice provision
Data Source
AI summary
Provided is a remote lesson system allowing a player to receive precise advices at a remote location. A remote lesson system 200 is comprised of a portable terminal 2 owned by a player P; and a cloud server 4 capable of communicating with the portable terminal 2. The portable terminal 2 includes a data analysis part for transmitting, from the portable terminal 2 to the cloud server 4, swing measurement data that have been collected by measuring the player P's motions during the play and quantified. The cloud server 4 includes an advice information generation part that generates and outputs advice information associated with the player P's motions from an output layer of a neural network when the swing measurement data have been input into an input layer of the neural network; and an advice information feeding part for transmitting such advice information to a coach terminal 6.