Dynamic Sampling Rate Processor for Golf Club Sensors

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Solution Overview

Problem

Current golf swing analysis systems are complex and power-intensive, making it difficult to efficiently analyze a golfer's swing characteristics on the golf course, as they require high sampling rates for accurate data collection, which consumes significant battery life and increases costs.

Innovation Solution

A golf club equipped with sensors and a dynamic sampling rate processor that adjusts sampling rates based on swing categories, using triggers such as swing initiation, velocity, and acceleration to optimize data collection and reduce power consumption, allowing for wireless transmission of swing data to a personal device.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high sampling rates are used for accurate data collection, then measurement precision is improved, but power consumption increases

Engineering Contradiction:
Improvedata collection accuracyVSAvoidbattery life
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic sampling rate adjustment where the sampling rate changes based on the detected swing state. During address position (pre-swing), a lower sampling rate is used to conserve battery power. When swing initiation is detected through trigger conditions (acceleration, velocity thresholds), the sampling rate automatically increases to capture detailed swing mechanics. This dynamic adaptation resolves the contradiction by matching data collection intensity to actual measurement needs throughout the swing sequence.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the sampling rate parameter based on detected swing phases and trigger conditions. By monitoring acceleration and velocity parameters from sensors, the system adjusts the sampling rate to appropriate levels - using higher rates during critical swing phases requiring precise measurement and lower rates during stationary or transitional phases, thereby optimizing both measurement precision and power consumption.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If complex analysis processes are used to capture detailed swing characteristics, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveswing analysis accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the golf swing analysis into distinct phases (address, backswing, downswing, follow-through) with different sampling requirements. Each phase is handled with appropriate analysis depth - simpler analysis during address position and more detailed analysis during active swing phases. This segmentation allows the system to achieve comprehensive swing analysis accuracy without requiring complex processing throughout the entire measurement cycle.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies analysis at appropriate levels of detail for each swing phase rather than using maximum complexity throughout. During address position, minimal analysis is performed to conserve resources. When swing triggers are detected, the system activates more sophisticated analysis algorithms to capture detailed swing characteristics. This partial action approach achieves necessary measurement precision without permanently increasing device complexity.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10369409B2Dynamic sampling in sports equipment
Publication Date: 2019.08.06 NIKE INC
  • US10369409B2 patent drawing
  • US10369409B2 patent drawing
  • US10369409B2 patent drawing

AI summary

Analysis of sporting equipment characteristics may be analyzed using dynamic sampling rates. For example, analyzing a golf swing may include the use of one or more sensors providing data at various sampling rates. According to some aspects, the sampling rate may be dynamically modified upon determination of one or more golf equipment characteristics, environmental conditions, player characteristics and the like. In one example, a sampling rate processor may dynamically select a sampling rate at which data is sampled from one or more sensors. In some examples, by dynamically selecting the sampling rate, an analysis may be tailored to various types, and portions of a golf swing, in addition to producing power consumption by the analysis instruments in the golf club system. According to other aspects, triggering conditions for modifying a sampling rate may be determined from a population of one or more previous golf swings performed by a user.