Drone-Based Exercise Video Capture for Consistent Athlete Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for acquiring exercise videos face challenges in maintaining consistent angles and precision in capturing athlete movements due to fixed camera positions, high labor costs, and reliance on human observation, which limits effective posture improvement.
Innovation Solution
A system using a drone equipped with sensors and a camera to capture exercise videos while maintaining a predetermined relative position and angle, allowing for precise data collection and analysis of athlete movements, including generating a three-dimensional human body model and providing synthetic videos for posture improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a camera is installed at a fixed position to capture exercise video, then the camera structure is simple and cost is reduced, but the athlete's position may move out of the camera angle and the capture angle changes, resulting in inconsistent video quality
Solution Approach 1:
The patent applies the dynamics principle by transitioning from a fixed camera to a movable drone that can dynamically adjust its position and orientation. The drone flies in the front direction of the athlete while maintaining a predetermined relative position, allowing it to track the athlete's movements and maintain consistent capture angles throughout the exercise routine.
Solution Approach 2:
The patent uses an intermediary approach by introducing a control system that receives information from both the drone and the athlete. This control system processes the relative position data and camera orientation information to generate control commands, acting as a mediator between the physical drone and the athlete to maintain optimal video capture conditions.
2Productivity
If a track is used to move the camera to follow the athlete, then the camera can track the athlete's movement, but it is difficult to consistently obtain video at the same angle unless the athlete moves parallel to the track
Solution Approach 1:
The patent applies dynamics by using a drone that can freely move in three-dimensional space rather than being constrained to a fixed track. The drone receives control commands that adjust its position and orientation based on the athlete's location, enabling it to maintain a consistent relative position and capture angle regardless of the athlete's movement direction.
Solution Approach 2:
The patent utilizes parameter changes by continuously adjusting the drone's position coordinates, orientation angles, and flight height based on real-time feedback from distance sensors and camera data. These dynamic parameter adjustments allow the drone to maintain optimal capture conditions while the athlete moves in any direction.
3Manufacturing precision
If professional photographers are used to capture exercise video, then video quality can be improved, but high labor costs are incurred and consistent angle capture depends on photographer capability
Solution Approach 1:
The patent applies self-service by implementing an automated system where the drone autonomously tracks the athlete and the control system automatically generates control commands based on sensor data. This eliminates the need for professional photographers to manually track and frame shots, reducing labor costs while maintaining consistent video quality through algorithmic control.
Solution Approach 2:
The patent replaces the mechanical system of manual camera operation by photographers with an automated control system that uses distance sensors, cameras, and algorithmic processing. This substitution of human skill with automated technology reduces dependency on photographer capability and eliminates labor costs while maintaining precise angle consistency.
4Ease of operation
If exercise data is acquired through human observation by coaches, then the method is simple to implement, but the precision of observation is limited and posture improvement efficiency is reduced
Solution Approach 1:
The patent replaces human visual observation with electronic sensing systems including distance sensors and cameras mounted on the drone. These sensors objectively measure the athlete's position, movement, and posture parameters, providing precise quantitative data that eliminates the limitations of human visual perception and subjective judgment.
Solution Approach 2:
The patent introduces an intermediary control system that processes raw sensor data and translates it into meaningful exercise analytics. This intermediary layer between the physical sensors and the final posture analysis enables automated, precise measurement while maintaining ease of operation through systematic data processing.
Data Source
AI summary
According to various embodiments of the present invention, a method for obtaining an exercise video performed in a system for obtaining an exercise video, which includes a user device, a server, and a drone, comprises the steps of: receiving a first value for specifying a flight height of the drone, a second value for specifying a distance between a first sensor of the drone and a first point on a surface of a first athlete, and a third value for specifying an angular displacement of the drone in a direction from the first point toward the first sensor with respect to a front direction of the first athlete; confirming information that the drone is at the same height as the first value; obtaining video data obtained by a measurement value and the first sensor.