aura-glass/workers/biometricWorker.js

A comprehensive glassmorphism design system for React applications with 142+ production-ready components

"use strict";
(() => {
  function processBiometricBatch(batch) {
    if (batch.length === 0) {
      return {
        stressLevel: 0,
        engagementLevel: 0,
        emotionalState: "neutral",
        recommendations: [],
        timestamp: Date.now()
      };
    }
    const avgHeartRate = batch.reduce((sum, d) => sum + (d.heartRate || 0), 0) / batch.length;
    const avgHRV = batch.reduce((sum, d) => sum + (d.heartRateVariability || 0), 0) / batch.length;
    const avgSkinConductance = batch.reduce((sum, d) => sum + (d.skinConductance || 0), 0) / batch.length;
    let stressLevel = 0;
    if (avgHeartRate > 80 && avgHRV < 50) {
      stressLevel += 0.4;
    }
    if (avgSkinConductance > 0.5) {
      stressLevel += 0.3;
    }
    const stressedExpressions = batch.filter(
      (d) => d.facialExpression === "frown" || d.facialExpression === "tense"
    ).length;
    stressLevel += stressedExpressions / batch.length * 0.3;
    stressLevel = Math.min(1, stressLevel);
    let engagementLevel = 0;
    if (avgHeartRate > 70 && avgHeartRate < 90 && avgHRV > 50) {
      engagementLevel += 0.5;
    }
    const focusedExpressions = batch.filter(
      (d) => d.facialExpression === "focused" || d.facialExpression === "smile"
    ).length;
    engagementLevel += focusedExpressions / batch.length * 0.5;
    engagementLevel = Math.min(1, engagementLevel);
    let emotionalState = "neutral";
    if (stressLevel > 0.7) {
      emotionalState = "stressed";
    } else if (engagementLevel > 0.7) {
      emotionalState = "focused";
    } else if (avgHeartRate > 90) {
      emotionalState = "excited";
    } else if (stressLevel < 0.3 && avgHeartRate < 70) {
      emotionalState = "calm";
    }
    const recommendations = [];
    if (stressLevel > 0.6) {
      recommendations.push("Consider taking a break");
      recommendations.push("Try deep breathing exercises");
    }
    if (engagementLevel < 0.4) {
      recommendations.push("Content may not be engaging enough");
      recommendations.push("Consider adding interactive elements");
    }
    if (avgHeartRate < 60 && engagementLevel < 0.3) {
      recommendations.push("User may be disengaged or fatigued");
    }
    return {
      stressLevel,
      engagementLevel,
      emotionalState,
      recommendations,
      timestamp: Date.now()
    };
  }
  function analyzeSingleDataPoint(dataPoint) {
    return processBiometricBatch([dataPoint]);
  }
  self.addEventListener("message", (event) => {
    const { command, data } = event.data;
    switch (command) {
      case "processBatch":
        if (Array.isArray(data)) {
          const analysis = processBiometricBatch(data);
          self.postMessage(analysis);
        }
        break;
      case "analyze":
        if (data && !Array.isArray(data)) {
          const analysis = analyzeSingleDataPoint(data);
          self.postMessage(analysis);
        }
        break;
      default:
        self.postMessage({ error: "Unknown command" });
    }
  });
  self.postMessage({ status: "ready" });
})();
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