Badminton Training Feedback Using Vacancy-Targeted Shuttle Serving
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Solution Overview
Problem
Conventional badminton training systems lack the ability to precisely target shuttlecock shots to vacant regions of the court and provide real-time feedback on player performance, making it difficult for individuals to identify errors and improve their skills effectively.
Innovation Solution
A badminton intelligent training system that includes a racket with a signal sensing device, a serving device, and image capturing devices connected to a computing device, which analyzes player movements and shuttlecock trajectories to determine vacancy regions and evaluate shot accuracy, providing real-time feedback and generating a smart shot report.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a conventional serving machine is used for practice, then the serving machine can automatically serve shuttlecocks, but it cannot specifically shot the shuttlecocks to the vacancy region of the player, so the practice effect is not good
Solution Approach 1:
The system uses image capturing devices to continuously monitor the player's position on the court, and the computing device processes this visual information to dynamically determine vacancy regions. The serving device receives real-time feedback about the player's location and adjusts its serving trajectory accordingly, creating a closed-loop control system that enables precise targeting of vacancy regions while maintaining automatic operation.
Solution Approach 2:
The system replaces the purely mechanical conventional serving machine with an intelligent system that integrates image capturing devices, computing devices for visual information processing, and a controllable serving device. This substitution of mechanical systems with optical and computational systems enables the serving device to accurately identify and target vacancy regions based on real-time player position data.
2Loss of information
If a supervisor is present during practice to point out errors, then some guidance can be provided, but it is impossible to have a supervisor always around to point out deficiencies and weaknesses immediately
Solution Approach 1:
The system enables self-service by allowing the player to receive automated feedback about their performance without human supervision. The image capturing devices record the player's movements and the serving device tracks shuttlecock trajectories, with the computing device analyzing this data to provide immediate feedback on errors such as shots landing out of bounds or missed vacancy regions, eliminating the need for constant supervisor presence.
Solution Approach 2:
The system replaces the human supervisor with an automated visual inspection system using image capturing devices and computational analysis. This substitution transforms the manual supervision process into an automated system that can continuously monitor player performance, detect errors in real-time, and provide immediate feedback without the constraints of human availability or fatigue.
3Reliability
If frequent defensive and offensive strike practices are needed to improve strike skill, then more practice time is required, but this increases the time and effort needed for training
Solution Approach 1:
The system dynamically adjusts the training experience by automatically determining vacancy regions based on real-time player position and adapting the serving trajectory accordingly. This dynamic adjustment allows for varied and challenging practice scenarios without requiring extended training sessions, as the system can generate diverse shot patterns and target regions within the available practice time.
Solution Approach 2:
The system provides immediate feedback on player performance by tracking shuttlecock trajectories and determining whether shots land in valid regions or out of bounds. This real-time feedback mechanism allows players to quickly learn from errors and adjust their technique, accelerating skill improvement and reducing the total practice time needed to achieve reliable strike skills.
Data Source
AI summary
A badminton intelligent training evaluation system, method and storage medium. The badminton intelligent training evaluation system includes a badminton racket, a serving device, two first image capturing devices and a computing device. When one or more instructions are executed by one or more processing units of the computing device, the one or more processing units perform the following procedures: obtaining and analyzing images of a player on the first half court to obtain a vacancy region with respect to the player instantly; controlling the serving device to serve a shuttlecock to fall in the vacancy region according to the obtained vacancy region; and obtaining an image of the shuttlecock returned by the player until falling on a landing point on a second half court, and determining whether the landing point is out of bounds.