Angular Velocity Sensor Golf Swing Phase Detection
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Solution Overview
Problem
Existing swing analyzing devices struggle to detect the rhythm of golf swings with precision, especially for small movements, as they rely on acceleration sensors which are cumbersome and fail to provide detailed information about lag phases, and angular velocity-based methods assume incorrect trunk axis shifts, leading to inaccurate calculations.
Innovation Solution
A swing analyzing device equipped with an angular velocity sensor that detects motion across multiple axes, calculates the sum of angular velocities, and uses impact detection techniques to identify key phases of the swing, allowing for precise detection of swing rhythms and phases like backswing, top, downswing, and follow-through, regardless of sensor mounting location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acceleration sensors are used to detect swing rhythm, then the rhythm of large movements can be detected, but detailed information such as lag extent cannot be detected and the sensor is troublesome to handle for small movements
Solution Approach 1:
The patent replaces acceleration sensors with angular velocity sensors (gyro sensors) to detect swing phases. This substitution enables precise detection of swing phases including lag extent without requiring the sensor to be mounted on the club head, as the angular velocity sensor can be mounted on the user's body and detect rotational motion of the trunk axis.
2Measurement precision
If angular velocity sensors are used to detect swing rhythm, then detailed swing information can be detected, but the assumption of trunk axis shift may not hold for all users
Solution Approach 1:
The patent changes the detection parameter from acceleration to angular velocity, and further to the norm of angular velocity vector. This parameter change allows detection of swing phases without relying on the assumption of trunk axis shift, as angular velocity directly measures rotational motion regardless of translation. The norm calculation (square root of sum of squares of angular velocities around three axes) provides a scalar value that reliably indicates swing phase transitions.
3Measurement precision
If acceleration sensors are mounted on club head for small movements, then putting rhythm can be detected, but it becomes troublesome to handle
Solution Approach 1:
The patent replaces acceleration sensors with angular velocity sensors mounted on the user's body (e.g., torso or waist). This substitution allows detection of putting rhythm and other small movements without requiring the sensor to be mounted on the club head, as the angular velocity sensor detects rotational motion of the user's body during the swing.
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
The device provides more accurate and detailed analysis of golf swing rhythms, including small movement swings, by using angular velocity sensors that can be mounted easily and detecting impacts with high reliability, enabling users to improve their technique.
Implementation Method 1
an angular velocity sensor which detects angular velocities generated about a plurality of axes by a swing
Implementation Method 2
an impact detecting unit which detects a timing of an impact in the swing using the sum of the magnitudes of the angular velocities
Data Source
AI summary
A swing analyzing device includes at least an angular velocity sensor, a data acquiring unit, and a motion detecting unit. The angular velocity sensor detects angular velocities generated about a plurality of axes by a swing. The data acquiring unit acquires detection data of the angular velocity sensor. The motion detecting unit detects at least one of motions of the swing. Particularly, the motion detecting unit includes an angular velocity calculating unit which calculates the sum of the magnitudes of the angular velocities generated about the plurality of respective axes using the acquired detection data.