鸿蒙跨端语音压力检测系统开发指南 原创

鸿蒙跨端语音压力检测系统开发指南

一、项目概述

本文基于HarmonyOS的语音分析能力和分布式技术，开发一款智能压力检测系统。该系统能够通过分析用户语音特征（语速、音调、音量等）评估压力水平，并将结果同步到多设备，借鉴了《鸿蒙跨端U同步》中多设备数据同步的技术原理。

二、系统架构

±--------------------+ ±--------------------+ ±--------------------+
主设备 <-----> 分布式数据总线 <-----> 从设备
(手机/平板) (Distributed Bus) (智能手表/其他设备)
±---------±---------+ ±---------±---------+ ±---------±---------+

±---------v----------+ ±---------v----------+ ±---------v----------+
语音分析模块 压力评估模块 数据同步模块
(Voice Analysis) (Stress Evaluation) (Data Sync)

±--------------------+ ±--------------------+ ±--------------------+

三、核心代码实现
压力检测服务

// src/main/ets/service/StressService.ts
import { audio } from ‘@ohos.multimedia.audio’;
import { distributedData } from ‘@ohos.data.distributedData’;
import { BusinessError } from ‘@ohos.base’;
import { speechRecognizer } from ‘@ohos.multimedia.speech’;
import { ai } from ‘@ohos.ai’;

interface VoiceFeature {
pitch: number; // 音调(Hz)
intensity: number; // 音量(dB)
speechRate: number; // 语速(字/分钟)
jitter: number; // 频率抖动(%)
shimmer: number; // 振幅抖动(%)
interface StressLevel {

level: ‘low’ ‘medium’
‘high’;
score: number; // 0-100
timestamp: number;
features: VoiceFeature;
export class StressService {

private static instance: StressService;
private kvStore: distributedData.KVStore | null = null;
private readonly STORE_ID = ‘stress_data_store’;
private audioCapturer: audio.AudioCapturer | null = null;
private speechRecognizer: speechRecognizer.SpeechRecognizer | null = null;
private currentStress: StressLevel = {
level: ‘low’,
score: 0,
timestamp: Date.now(),
features: {
pitch: 0,
intensity: 0,
speechRate: 0,
jitter: 0,
shimmer: 0
};

private stressHistory: StressLevel[] = [];
private aiAnalyzer: ai.AudioAnalyzer | null = null;

private constructor() {
this.initKVStore();
this.initAudioCapturer();
this.initSpeechRecognizer();
this.initAIAnalyzer();
public static getInstance(): StressService {

if (!StressService.instance) {
  StressService.instance = new StressService();

return StressService.instance;

private async initKVStore(): Promise<void> {

try {
  const options: distributedData.KVManagerConfig = {
    bundleName: 'com.example.stressdetection',
    userInfo: {
      userId: '0',
      userType: distributedData.UserType.SAME_USER_ID

};

  const kvManager = distributedData.createKVManager(options);
  this.kvStore = await kvManager.getKVStore({
    storeId: this.STORE_ID,
    options: {
      createIfMissing: true,
      encrypt: false,
      backup: false,
      autoSync: true,
      kvStoreType: distributedData.KVStoreType.SINGLE_VERSION

});

  this.kvStore.on('dataChange', distributedData.SubscribeType.SUBSCRIBE_TYPE_REMOTE, (data) => {
    data.insertEntries.forEach((entry: distributedData.Entry) => {
      if (entry.key === 'stress_level') {
        this.notifyStressChange(entry.value.value as StressLevel);

});

  });

catch (e) {

  console.error(Failed to initialize KVStore. Code: {e.code}, message: {e.message});

}

private async initAudioCapturer(): Promise<void> {
try {
const audioStreamInfo: audio.AudioStreamInfo = {
samplingRate: audio.AudioSamplingRate.SAMPLE_RATE_16000,
channels: audio.AudioChannel.CHANNEL_1,
sampleFormat: audio.AudioSampleFormat.SAMPLE_FORMAT_S16LE,
encodingType: audio.AudioEncodingType.ENCODING_TYPE_RAW
};

  const audioCapturerInfo: audio.AudioCapturerInfo = {
    source: audio.SourceType.SOURCE_TYPE_MIC,
    capturerFlags: 0
  };
  
  this.audioCapturer = await audio.createAudioCapturer({
    streamInfo: audioStreamInfo,
    capturerInfo: audioCapturerInfo
  });
  
  this.audioCapturer.on('audioCapturerDataArrival', (buffer: ArrayBuffer) => {
    this.analyzeAudio(buffer);
  });

catch (e) {

  console.error(Failed to initialize audio capturer. Code: {e.code}, message: {e.message});

}

private async initSpeechRecognizer(): Promise<void> {
try {
this.speechRecognizer = await speechRecognizer.createSpeechRecognizer();

  const config: speechRecognizer.SpeechRecognizerConfig = {
    language: 'zh-CN', // 中文(中国)
    grammar: 'default'
  };
  
  await this.speechRecognizer.setConfig(config);
  
  this.speechRecognizer.on('result', (result) => {
    this.handleRecognitionResult(result);
  });

catch (e) {

  console.error(Failed to initialize speech recognizer. Code: {e.code}, message: {e.message});

}

private async initAIAnalyzer(): Promise<void> {
try {
this.aiAnalyzer = await ai.createAudioAnalyzer({
analyzerType: ai.AnalyzerType.STRESS,
config: {
sampleRate: 16000,
frameSize: 1024
});

catch (e) {

  console.error(Failed to initialize AI analyzer. Code: {e.code}, message: {e.message});

}

private analyzeAudio(buffer: ArrayBuffer): void {
if (!this.aiAnalyzer) return;

try {
  // 提取语音特征
  const features = this.extractVoiceFeatures(buffer);
  
  // 使用AI分析压力水平
  const stressScore = this.calculateStressScore(features);
  
  // 更新当前压力状态
  this.updateStressLevel(stressScore, features);

catch (e) {

  console.error(Failed to analyze audio. Code: {e.code}, message: {e.message});

}

private extractVoiceFeatures(buffer: ArrayBuffer): VoiceFeature {
const data = new Int16Array(buffer);

// 简化的特征提取 (实际应用中应使用更专业的算法)
return {
  pitch: this.calculatePitch(data),
  intensity: this.calculateIntensity(data),
  speechRate: this.currentSpeechRate || 120, // 默认120字/分钟
  jitter: this.calculateJitter(data),
  shimmer: this.calculateShimmer(data)
};

private calculatePitch(data: Int16Array): number {

// 简化的音调计算 (基于过零率)
let zeroCrossings = 0;
for (let i = 1; i < data.length; i++) {
  if (data[i] * data[i-1] < 0) zeroCrossings++;

return zeroCrossings / 2 * (16000 / data.length);

private calculateIntensity(data: Int16Array): number {

// 计算RMS音量
let sum = 0;
for (let i = 0; i < data.length; i++) {
  sum += data[i] * data[i];

return 10 * Math.log10(sum / data.length);

private calculateJitter(data: Int16Array): number {

// 简化的频率抖动计算
const pitchValues = this.extractPitchFrames(data);
if (pitchValues.length < 2) return 0;

let sumDiff = 0;
for (let i = 1; i < pitchValues.length; i++) {
  sumDiff += Math.abs(pitchValues[i] - pitchValues[i-1]);

return (sumDiff / (pitchValues.length - 1)) / (sumDiff / pitchValues.length) * 100;

private calculateShimmer(data: Int16Array): number {

// 简化的振幅抖动计算
const amplitudeValues = this.extractAmplitudeFrames(data);
if (amplitudeValues.length < 2) return 0;

let sumDiff = 0;
for (let i = 1; i < amplitudeValues.length; i++) {
  sumDiff += Math.abs(amplitudeValues[i] - amplitudeValues[i-1]);

return (sumDiff / (amplitudeValues.length - 1)) / (sumDiff / amplitudeValues.length) * 100;

private calculateStressScore(features: VoiceFeature): number {

// 简化的压力评分计算 (实际应用中应使用机器学习模型)
const pitchScore = Math.min(100, Math.max(0, (features.pitch - 100) / 2));
const intensityScore = Math.min(100, Math.max(0, (features.intensity - 50) * 2));
const rateScore = Math.min(100, Math.max(0, (features.speechRate - 120) / 1.2));
const jitterScore = Math.min(100, features.jitter * 2);
const shimmerScore = Math.min(100, features.shimmer * 2);

return Math.floor(
  pitchScore * 0.3 +
  intensityScore * 0.2 +
  rateScore * 0.2 +
  jitterScore * 0.15 +
  shimmerScore * 0.15
);

private updateStressLevel(score: number, features: VoiceFeature): void {

let level: 'low' 'medium'

‘high’;

if (score < 40) {
  level = 'low';

else if (score < 70) {

  level = 'medium';

else {

  level = 'high';

const now = Date.now();

this.currentStress = {
  level,
  score,
  timestamp: now,
  features
};

this.stressHistory.push({ ...this.currentStress });
this.scheduleSync();

// 检查是否需要触发提醒
if (level = 'high' || (level = 'medium' && this.checkRecentHighStress())) {
  this.triggerStressAlert();

}

private checkRecentHighStress(): boolean {
const now = Date.now();
const recentHighStress = this.stressHistory.filter(
=> s.level === ‘high’ && now - s.timestamp < 30 60 1000

);
return recentHighStress.length >= 3;

private triggerStressAlert(): void {

// 实际应用中应该使用通知服务
console.log(Stress alert! Current level: ${this.currentStress.level});

// 同步提醒状态
if (this.kvStore) {
  this.kvStore.put('stress_alert', {
    value: {
      level: this.currentStress.level,
      score: this.currentStress.score,
      timestamp: Date.now()

});

}

private handleRecognitionResult(result: speechRecognizer.SpeechRecognizerResult): void {
// 计算语速 (字/分钟)
const duration = result.duration / 1000; // 秒
const wordCount = result.text.length;
this.currentSpeechRate = Math.floor(wordCount / duration * 60);
private scheduleSync(): void {

if (this.syncTimer) {
  clearTimeout(this.syncTimer);

this.syncTimer = setTimeout(() => {

  this.syncStressData();
  this.syncTimer = null;
}, 2000); // 2秒内多次更新只同步一次

private syncTimer: number | null = null;

private async syncStressData(): Promise<void> {
if (this.kvStore) {
try {
await this.kvStore.put(‘stress_level’, { value: this.currentStress });
await this.kvStore.put(‘stress_history’, { value: this.stressHistory });
catch (e) {

    console.error(Failed to sync stress data. Code: {e.code}, message: {e.message});

}

private notifyStressChange(newStress: StressLevel): void {

// 使用时间戳解决冲突 - 保留最新的压力数据
if (newStress.timestamp > this.currentStress.timestamp) {
  this.currentStress = newStress;

}

public async getCurrentStress(): Promise<StressLevel> {
if (!this.kvStore) return this.currentStress;

try {
  const entry = await this.kvStore.get('stress_level');
  return entry?.value || this.currentStress;

catch (e) {

  console.error(Failed to get stress level. Code: {e.code}, message: {e.message});
  return this.currentStress;

}

public async getStressHistory(): Promise<StressLevel[]> {
if (!this.kvStore) return this.stressHistory;

try {
  const entry = await this.kvStore.get('stress_history');
  return entry?.value || this.stressHistory;

catch (e) {

  console.error(Failed to get stress history. Code: {e.code}, message: {e.message});
  return this.stressHistory;

}

public async startMonitoring(): Promise<void> {
if (this.audioCapturer) {
await this.audioCapturer.start();
if (this.speechRecognizer) {

  await this.speechRecognizer.start();

}

public async stopMonitoring(): Promise<void> {
if (this.audioCapturer) {
await this.audioCapturer.stop();
if (this.speechRecognizer) {

  await this.speechRecognizer.stop();

}

public async destroy(): Promise<void> {
if (this.kvStore) {
this.kvStore.off(‘dataChange’);
if (this.audioCapturer) {

  await this.audioCapturer.release();

if (this.speechRecognizer) {

  await this.speechRecognizer.destroy();

if (this.aiAnalyzer) {

  this.aiAnalyzer.release();

}

压力监测组件

// src/main/ets/components/StressMonitor.ets
@Component
export struct StressMonitor {
private stressService = StressService.getInstance();
@State currentStress: StressLevel = {
level: ‘low’,
score: 0,
timestamp: 0,
features: {
pitch: 0,
intensity: 0,
speechRate: 0,
jitter: 0,
shimmer: 0
};

@State isMonitoring: boolean = false;

aboutToAppear(): void {
this.loadCurrentStress();
private async loadCurrentStress(): Promise<void> {

this.currentStress = await this.stressService.getCurrentStress();

build() {

Column() {
  // 压力状态指示器
  this.buildStressIndicator()
    .width('100%')
    .height(200)
    .margin({ bottom: 30 });
  
  // 详细特征展示
  if (this.isMonitoring) {
    this.buildFeaturesDisplay()
      .width('100%')
      .margin({ bottom: 30 });

// 控制按钮

  Button(this.isMonitoring ? '停止监测' : '开始监测')
    .type(ButtonType.Capsule)
    .width('60%')
    .backgroundColor(this.isMonitoring ? '#F44336' : '#4CAF50')
    .fontColor('#FFFFFF')
    .onClick(() => {
      this.toggleMonitoring();
    });
  
  // 历史记录按钮
  if (!this.isMonitoring) {
    Button('查看历史记录')
      .type(ButtonType.Capsule)
      .width('60%')
      .backgroundColor('#2196F3')
      .fontColor('#FFFFFF')
      .margin({ top: 20 })
      .onClick(() => {
        // 导航到历史记录页面
      });

}

.width('100%')
.height('100%')
.padding(20);

@Builder

private buildStressIndicator() {
Column() {
// 压力等级显示
Text(this.getStressLevelText(this.currentStress.level))
.fontSize(24)
.fontWeight(FontWeight.Bold)
.fontColor(this.getStressColor(this.currentStress.level))
.margin({ bottom: 10 });

  // 压力分数仪表盘
  Progress({
    value: this.currentStress.score,
    total: 100,
    type: ProgressType.Ring
  })
  .width(150)
  .height(150)
  .value(this.currentStress.score)
  .color(this.getStressColor(this.currentStress.level))
  .strokeWidth(10)
  .margin({ bottom: 10 });
  
  Text(分数: ${this.currentStress.score})
    .fontSize(18)
    .fontColor('#333333');

.width(‘100%’)

.height('100%')
.justifyContent(FlexAlign.Center)
.alignItems(HorizontalAlign.Center)
.backgroundColor('#FFFFFF')
.borderRadius(20)
.shadow({ radius: 10, color: '#E0E0E0', offsetX: 0, offsetY: 5 });

@Builder

private buildFeaturesDisplay() {
Grid() {
GridItem() {
this.buildFeatureCard(‘音调’, ${this.currentStress.features.pitch.toFixed(0)} Hz);
GridItem() {

    this.buildFeatureCard('音量', ${this.currentStress.features.intensity.toFixed(0)} dB);

GridItem() {

    this.buildFeatureCard('语速', ${this.currentStress.features.speechRate.toFixed(0)} 字/分钟);

GridItem() {

    this.buildFeatureCard('频率抖动', ${this.currentStress.features.jitter.toFixed(1)}%);

GridItem() {

    this.buildFeatureCard('振幅抖动', ${this.currentStress.features.shimmer.toFixed(1)}%);

}

.columnsTemplate('1fr 1fr')
.rowsTemplate('1fr 1fr 1fr')
.columnsGap(10)
.rowsGap(10)
.width('100%')
.height(300);

@Builder

private buildFeatureCard(title: string, value: string) {
Column() {
Text(title)
.fontSize(14)
.fontColor(‘#666666’);

  Text(value)
    .fontSize(18)
    .fontWeight(FontWeight.Bold)
    .margin({ top: 5 });

.width(‘100%’)

.height('100%')
.padding(15)
.backgroundColor('#FFFFFF')
.borderRadius(10)
.shadow({ radius: 5, color: '#E0E0E0', offsetX: 0, offsetY: 2 })
.justifyContent(FlexAlign.Center)
.alignItems(HorizontalAlign.Center);

private async toggleMonitoring(): Promise<void> {

if (this.isMonitoring) {
  await this.stressService.stopMonitoring();

else {

  await this.stressService.startMonitoring();

this.isMonitoring = !this.isMonitoring;

private getStressLevelText(level: ‘low’ ‘medium’
‘high’): string {

switch (level) {
  case 'low': return '压力水平: 低';
  case 'medium': return '压力水平: 中';
  case 'high': return '压力水平: 高';
  default: return '压力水平: 未知';

}

private getStressColor(level: ‘low’ ‘medium’
‘high’): string {
switch (level) {
case ‘low’: return ‘#4CAF50’;
case ‘medium’: return ‘#FFC107’;
case ‘high’: return ‘#F44336’;
default: return ‘#9E9E9E’;
}

主界面实现

// src/main/ets/pages/StressPage.ets
import { StressService } from ‘…/service/StressService’;
import { StressMonitor } from ‘…/components/StressMonitor’;

@Entry
@Component
struct StressPage {
@State activeTab: number = 0;
@State deviceList: string[] = [];
private stressService = StressService.getInstance();

build() {
Column() {
// 标题
Text(‘语音压力检测’)
.fontSize(24)
.fontWeight(FontWeight.Bold)
.margin({ bottom: 20 });

  // 标签页
  Tabs({ barPosition: BarPosition.Start }) {
    TabContent() {
      // 实时监测标签页
      StressMonitor()

.tabBar(‘压力监测’);

    TabContent() {
      // 历史记录标签页
      this.buildHistoryTab()

.tabBar(‘历史记录’);

    TabContent() {
      // 设备管理标签页
      this.buildDevicesTab()

.tabBar(‘设备管理’);

.barWidth(‘100%’)

  .barHeight(50)
  .width('100%')
  .height('80%')

.width(‘100%’)

.height('100%')
.padding(20)
.onAppear(() => {
  // 模拟获取设备列表
  setTimeout(() => {
    this.deviceList = ['我的手机', '智能手表', '平板电脑'];
  }, 1000);
});

@Builder

private buildHistoryTab() {
Column() {
Text(‘压力历史记录’)
.fontSize(18)
.fontWeight(FontWeight.Bold)
.margin({ bottom: 20 });

  // 模拟历史数据
  List({ space: 15 }) {
    ListItem() {
      this.buildHistoryItem('高压力', 85, '10分钟前');

ListItem() {

      this.buildHistoryItem('中压力', 65, '30分钟前');

ListItem() {

      this.buildHistoryItem('低压力', 35, '1小时前');

}

  .width('100%')
  .layoutWeight(1);

.width(‘100%’)

.height('100%')
.padding(10);

@Builder

private buildHistoryItem(level: string, score: number, time: string) {
Row() {
Column() {
Text(level)
.fontSize(16)
.fontWeight(FontWeight.Bold);

    Text(time)
      .fontSize(12)
      .fontColor('#666666')
      .margin({ top: 5 });

.layoutWeight(1);

  Text(${score})
    .fontSize(24)
    .fontColor(this.getStressColor(score));

.width(‘100%’)

.padding(15)
.backgroundColor('#FFFFFF')
.borderRadius(10);

@Builder

private buildDevicesTab() {
Column() {
Text(‘已连接设备’)
.fontSize(18)
.fontWeight(FontWeight.Bold)
.margin({ bottom: 20 });

  if (this.deviceList.length > 0) {
    List({ space: 15 }) {
      ForEach(this.deviceList, (device) => {
        ListItem() {
          Row() {
            Image($r('app.media.ic_device'))
              .width(40)
              .height(40)
              .margin({ right: 15 });
            
            Text(device)
              .fontSize(16)
              .layoutWeight(1);
            
            if (device === '我的手机') {
              Text('主设备')
                .fontSize(14)
                .fontColor('#4CAF50');

}

          .width('100%')
          .padding(15)
          .backgroundColor('#FFFFFF')
          .borderRadius(10)

})

.width(‘100%’)

    .layoutWeight(1);

else {

    Text('没有连接的设备')
      .fontSize(16)
      .fontColor('#666666')
      .margin({ top: 50 });

Button(‘添加设备’)

    .type(ButtonType.Capsule)
    .width('80%')
    .margin({ top: 30 })
    .backgroundColor('#2196F3')
    .fontColor('#FFFFFF');

.width(‘100%’)

.height('100%')
.padding(10);

private getStressColor(score: number): string {

if (score < 40) return '#4CAF50';
if (score < 70) return '#FFC107';
return '#F44336';

}

四、与游戏同步技术的结合点
分布式状态同步：借鉴游戏中多玩家状态同步机制，实现压力数据的跨设备实时同步

实时数据处理：类似游戏中的实时数据流，处理语音数据流

设备角色分配：类似游戏中的主机/客户端角色，确定主监测设备和从属设备

时间同步机制：确保多设备间的时间戳一致，类似游戏中的时间同步

数据压缩传输：优化语音特征数据的传输效率，类似游戏中的网络优化

五、关键特性实现
语音特征提取：

  private extractVoiceFeatures(buffer: ArrayBuffer): VoiceFeature {
 const data = new Int16Array(buffer);
 return {
   pitch: this.calculatePitch(data),
   intensity: this.calculateIntensity(data),
   speechRate: this.currentSpeechRate || 120,
   jitter: this.calculateJitter(data),
   shimmer: this.calculateShimmer(data)
 };

压力评分计算：

  const pitchScore = Math.min(100, Math.max(0, (features.pitch - 100) / 2));

const intensityScore = Math.min(100, Math.max(0, (features.intensity - 50) * 2));
const rateScore = Math.min(100, Math.max(0, (features.speechRate - 120) / 1.2));
const jitterScore = Math.min(100, features.jitter * 2);
const shimmerScore = Math.min(100, features.shimmer * 2);

return Math.floor(
pitchScore * 0.3 +
intensityScore * 0.2 +
rateScore * 0.2 +
jitterScore * 0.15 +
shimmerScore * 0.15
);

压力提醒触发：

  if (level = 'high' || (level = 'medium' && this.checkRecentHighStress())) {
 this.triggerStressAlert();

数据同步：

  private async syncStressData(): Promise<void> {
 if (this.kvStore) {
   await this.kvStore.put('stress_level', { value: this.currentStress });
   await this.kvStore.put('stress_history', { value: this.stressHistory });

}

六、性能优化策略
音频采样率优化：

  const audioStreamInfo: audio.AudioStreamInfo = {
 samplingRate: audio.AudioSamplingRate.SAMPLE_RATE_16000, // 16kHz采样率
 channels: audio.AudioChannel.CHANNEL_1,
 sampleFormat: audio.AudioSampleFormat.SAMPLE_FORMAT_S16LE

};

批量数据处理：

  private scheduleSync(): void {
 if (this.syncTimer) clearTimeout(this.syncTimer);
 this.syncTimer = setTimeout(() => {
   this.syncStressData();
   this.syncTimer = null;
 }, 2000); // 2秒内多次更新只同步一次

本地缓存优先：

  public async getCurrentStress(): Promise<StressLevel> {
 // 先返回本地缓存
 const cachedStress = this.currentStress;
 
 // 异步从分布式存储获取最新状态
 if (this.kvStore) {
   this.kvStore.get('stress_level').then((entry) => {
     if (entry?.value && entry.value.timestamp > cachedStress.timestamp) {
       this.currentStress = entry.value;

});

return cachedStress;

资源释放管理：

  public async destroy(): Promise<void> {
 if (this.audioCapturer) {
   await this.audioCapturer.release();

if (this.speechRecognizer) {

   await this.speechRecognizer.destroy();

}

七、项目扩展方向
多模态压力检测：结合心率、皮肤电反应等多维度数据

压力源分析：识别可能导致压力升高的事件或情境

个性化减压建议：根据压力模式提供定制化建议

长期趋势分析：统计压力变化趋势和模式

社交支持：与亲友分享压力状态获取支持

八、总结

本语音压力检测系统实现了以下核心功能：
基于HarmonyOS语音处理能力的压力水平评估

多维度语音特征分析（音调、音量、语速等）

实时压力状态监测与提醒

多设备间的数据同步和状态共享

通过借鉴游戏中的多设备同步技术，我们构建了一个专业的心理健康监测工具。该项目展示了HarmonyOS在音频处理和分布式技术方面的强大能力，为开发者提供了健康监测类应用开发的参考方案。