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bowling-analysis-system

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A comprehensive system for analyzing bowling techniques using video processing and metrics calculation

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/** * @module bowling_analysis/metrics/calculators/TechniqueCalculator * @description Calculator for technique-related metrics in Phase Three */ /** * Calculate technique-related metrics * @param {Object} metrics - Metrics from phases one and two * @param {Object} timeSeries - Time series data * @param {Object} events - Detected events * @param {Object} options - Calculator options * @returns {Promise<Object>} Technique metrics */ async function calculate(metrics, timeSeries, events, options = {}) { try { const { debug, includeTimeSeries } = options; // Initialize result const result = {}; // Initialize time series const timeSeriesData = {}; // Define technique metrics to calculate const techniqueMetrics = [ 'armAlignment', 'shoulderAlignment', 'hipAlignment', 'approachAlignment', 'releaseAlignment', 'followThroughAlignment', 'bodyPositioning', 'headPosition', 'footPlacement', 'spineAlignment', 'balanceControl', 'armSwing', 'fluidMotion' ]; // TODO: Implement actual technique metric calculations // For this stub, we'll just create placeholder data // Generate placeholder values for technique metrics for (const metricName of techniqueMetrics) { result[metricName] = Math.random(); // Value between 0 and 1 } // Calculate overall technique score (average of all metrics) const techniqueValues = Object.values(result); result.overallTechnique = techniqueValues.reduce((sum, val) => sum + val, 0) / techniqueValues.length; // Add time series data if requested if (includeTimeSeries) { const timeSeriesLength = timeSeries.frameIndex ? timeSeries.frameIndex.length : 0; // Only generate time series if we have frame data if (timeSeriesLength > 0) { for (const metricName of techniqueMetrics) { const values = Array(timeSeriesLength).fill(null); // Add random values for a few frames around events if (events.releaseFrame) { const releaseFrame = events.releaseFrame; for (let i = Math.max(0, releaseFrame - 10); i < Math.min(timeSeriesLength, releaseFrame + 10); i++) { values[i] = Math.random(); } } timeSeriesData[metricName] = values; } } result.timeSeries = timeSeriesData; } return result; } catch (error) { console.error(`Error calculating technique metrics: ${error.message}`); return {}; } } module.exports = { calculate };