Rope-Jumping State Detection With Adaptive Window Analysis
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Solution Overview
Problem
Existing methods for recording rope jumping exercises suffer from inaccuracies and lack of multi-dimensional data recording, leading to potential omissions and erroneous evaluations.
Innovation Solution
An electronic device uses an iterative window width to determine rope jumping status based on exercise data, incorporating time and frequency domain features to improve accuracy and record multiple dimensions such as rope jumping interruptions, speed variations, and other states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual counting or rope jumping device counting is used to record rope jumping quantity, then the recording process is simple, but recording accuracy deteriorates due to omissions and erroneous recording
Solution Approach 1:
The patent replaces manual counting and mechanical rope jumping device counting with an electronic device that uses sensors (accelerometer, gyroscope, sound sensor) to automatically detect and record rope jumping actions. The electronic device processes sensor data to identify jumping movements, calculate jumping quantity, and detect interruptions, thereby eliminating human error and improving recording accuracy while automating the previously manual process
Solution Approach 2:
The system enables self-service recording by having the electronic device automatically detect, count, and record rope jumping actions without requiring user intervention. The device autonomously processes sensor data to identify valid jumping movements, calculates jumping quantity and interruptions, and generates exercise records, allowing users to simply perform the exercise while the system handles all recording tasks independently
2Loss of information
If only rope jumping quantity is recorded, then the recording process is simple, but information completeness deteriorates due to lack of multi-dimensional data
Solution Approach 1:
The patent extends recording from a single dimension (jumping quantity) to multiple dimensions by simultaneously capturing and analyzing various parameters including jumping quantity, jumping interruptions, exercise duration, intensity levels, and motion patterns. The electronic device processes sensor data to extract features across different dimensions, providing comprehensive exercise evaluation that encompasses both quantitative and qualitative aspects of rope jumping performance
Solution Approach 2:
The patent segments the rope jumping exercise data into multiple independent evaluation dimensions: jumping quantity (count of valid jumping movements), jumping interruptions (pauses or invalid movements), exercise duration (total time), and intensity (based on motion amplitude and frequency). This segmentation allows the system to analyze and record each dimension separately while maintaining overall information completeness, enabling users to understand different aspects of their exercise performance
3Measurement precision
If a fixed window width is used for peak detection, then the detection process is simple, but detection accuracy deteriorates because it does not adapt to varying exercise intensities
Solution Approach 1:
The patent implements dynamic window width adjustment by calculating the window width based on the user's exercise intensity and motion characteristics. The electronic device analyzes sensor data to determine appropriate window widths adaptively, allowing the peak detection algorithm to adjust its parameters in real-time according to the user's jumping speed, amplitude, and rhythm, thereby maintaining high detection accuracy across varying exercise intensities
Solution Approach 2:
The patent changes the window width parameter dynamically based on exercise conditions. The electronic device calculates optimal window width values by analyzing the temporal and frequency characteristics of sensor data, adjusting this critical parameter to match the user's current exercise state. This parameter adaptation enables accurate peak detection whether the user is jumping slowly or rapidly, ensuring consistent measurement precision across different exercise intensities
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the precision of rope jumping exercise recording by accurately detecting various states and providing comprehensive data, allowing users to better understand their exercise performance.
Implementation Method 1
the electronic device may include one or more motion sensors, such as an acceleration sensor and a gyroscope sensor
Data Source
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Figure 3B
AI summary
A rope jumping status detection method is provided, including: collecting first target exercise data in a first target time period by using one or more motion sensors, where the first target time period includes a first end moment, and the first end moment is used to identify an end moment of the first target time period; determining a rope jumping status in the first target time period based on the first target exercise data by using an iterative window width, where the iterative window width is used to identify that the window width is obtained through iteration; determining a first quantity of rope jumping interruptions based on the rope jumping status in the first target time period, where the first quantity of rope jumping interruptions is used to identify a quantity of rope jumping interruptions in the first target time period; and displaying the first quantity of rope jumping interruptions at the first end moment. An electronic device for performing the detection method and a computer-readable storage medium for performing the detection method are further provided.