Serve Analyzer
by Adeeteya
Revolutionizes the way tennis players analyze and improve their serves.
| App Name | Serve Analyzer |
|---|---|
| Developer | Adeeteya |
| Category | Sports |
| Download Size | 48 MB |
| Latest Version | 1.0.1 |
| Average Rating | 0.00 |
| Rating Count | 0 |
| Google Play | Download |
| AppBrain | Download Serve Analyzer Android app |
The Tennis Serve Analysis App is a mobile application designed to revolutionize the way tennis players analyze and improve their serves. Leveraging machine learning algorithms and computer vision techniques, the app provides users with personalized feedback of their serves.
š¦µ Pose Estimation: Utilizes MoveNet, a machine learning model, to estimate key points in the user's serve, including joints such as elbows, shoulders, and knees.
š§ Professional Player Comparison: Allows users to compare their serve with a professional player of equivalent height, providing visual overlays and angle comparisons.
š„ Ball Tracking: Employs AutoML Vision for ball detection and tracking, calculating the speed of the ball after impact.
š„ User Feedback: Provides real-time feedback on joint angles, enabling users to understand their technique and receive suggestions for improvement.
š Data-Driven Progress Tracking: Enables users to track their progress over time, helping them monitor improvements and refine their training strategies.
Recent changes:
Pose Estimation on your tennis serves
Provides feedback on joint angles (maximum, minimum and average angle of the joint)
Comparison with professional players (Roger Federer, Rafael Nadal and Fabio Fognini)
Ball Tracking to Track the Speed of the serve (not working currently)
š¦µ Pose Estimation: Utilizes MoveNet, a machine learning model, to estimate key points in the user's serve, including joints such as elbows, shoulders, and knees.
š§ Professional Player Comparison: Allows users to compare their serve with a professional player of equivalent height, providing visual overlays and angle comparisons.
š„ Ball Tracking: Employs AutoML Vision for ball detection and tracking, calculating the speed of the ball after impact.
š„ User Feedback: Provides real-time feedback on joint angles, enabling users to understand their technique and receive suggestions for improvement.
š Data-Driven Progress Tracking: Enables users to track their progress over time, helping them monitor improvements and refine their training strategies.
Recent changes:
Pose Estimation on your tennis serves
Provides feedback on joint angles (maximum, minimum and average angle of the joint)
Comparison with professional players (Roger Federer, Rafael Nadal and Fabio Fognini)
Ball Tracking to Track the Speed of the serve (not working currently)
