
鸿蒙分布式呼吸训练系统:多设备协同的语音引导与实时反馈方案 原创
鸿蒙分布式呼吸训练系统:多设备协同的语音引导与实时反馈方案
一、系统架构设计
!https://example.com/harmonyos-breathing-arch.png
采用三层架构:
输入层:多设备语音与生物信号采集
处理层:分布式呼吸模式分析与同步
输出层:跨设备语音引导与可视化反馈
二、核心模块实现
呼吸模式分析模块
// BreathingAnalyzer.ts
import audio from ‘@ohos.multimedia.audio’;
import health from ‘@ohos.health’;
import distributedData from ‘@ohos.data.distributedData’;
interface BreathingCycle {
timestamp: number;
deviceId: string;
type: ‘inhale’ ‘exhale’
‘hold’;
duration: number; // 毫秒
rhythmScore: number; // 节奏评分(0-1)
export class BreathingAnalyzer {
private audioCapturer?: audio.AudioCapturer;
private healthSensor?: health.Sensor;
private kvManager: distributedData.KVManager;
async init() {
// 初始化音频采集
this.audioCapturer = await audio.createAudioCapturer({
streamInfo: {
samplingRate: audio.AudioSamplingRate.SAMPLE_RATE_16K,
channels: audio.AudioChannel.CHANNEL_1,
format: audio.AudioFormat.FORMAT_PCM_16BIT
});
// 初始化健康传感器
this.healthSensor = await health.createSensor({
type: health.SensorType.HEART_RATE,
rate: health.SensorRate.NORMAL
});
// 初始化分布式数据同步
const context = getContext(this);
this.kvManager = distributedData.createKVManager({ context });
async startMonitoring(): Promise<AsyncIterable<BreathingCycle>> {
const kvStore = await this.kvManager.getKVStore('breathing_data');
this.audioCapturer?.start();
this.healthSensor?.subscribe();
return {
[Symbol.asyncIterator]: async function* () {
let lastPeakTime = 0;
let currentPhase: BreathingCycle['type'] = 'inhale';
while (this.isActive) {
const audioData = await this.audioCapturer?.read();
const healthData = await this.healthSensor?.read();
// 分析呼吸音频特征
const isInhaling = this.detectInhale(audioData);
const isExhaling = this.detectExhale(audioData);
if (currentPhase === 'inhale' && isExhaling) {
const cycle: BreathingCycle = {
timestamp: Date.now(),
deviceId: 'local_device',
type: 'exhale',
duration: Date.now() - lastPeakTime,
rhythmScore: this.calculateRhythmScore()
};
yield cycle;
await kvStore.put(cycle_${cycle.timestamp}, cycle);
currentPhase = 'exhale';
lastPeakTime = Date.now();
// 其他相位检测…
}.bind(this)
};
// 其他分析方法…
分布式语音引导引擎
// BreathingGuide.ts
import tts from ‘@ohos.multimedia.tts’;
import deviceManager from ‘@ohos.distributedHardware.deviceManager’;
export class BreathingGuide {
private ttsEngines: Record<string, tts.TtsEngine> = {};
private patterns = {
relax: { inhale: 4, hold: 4, exhale: 6 },
energize: { inhale: 4, hold: 0, exhale: 4 }
};
async init() {
// 初始化本地TTS引擎
this.ttsEngines[‘local’] = await tts.createEngine();
// 发现其他设备的TTS能力
const devices = await deviceManager.getTrustedDeviceListSync();
await Promise.all(devices.map(device =>
this.setupRemoteTTS(device.deviceId)
));
async guidePattern(patternName: keyof typeof this.patterns) {
const pattern = this.patterns[patternName];
const devices = Object.keys(this.ttsEngines);
await Promise.all(devices.map(deviceId => {
const sequence = [
吸气 ${pattern.inhale}秒,
pattern.hold > 0 ? 屏息 ${pattern.hold}秒 : '',
呼气 ${pattern.exhale}秒
].filter(Boolean);
return this.playSequence(deviceId, sequence);
}));
private async playSequence(deviceId: string, texts: string[]) {
for (const text of texts) {
await this.ttsEngines[deviceId].speak(text);
await new Promise(resolve => setTimeout(resolve, 1000)); // 间隔1秒
}
// 其他方法…
主页面实现(ArkUI)
// BreathingApp.ets
import { BreathingAnalyzer } from ‘./BreathingAnalyzer’;
import { BreathingGuide } from ‘./BreathingGuide’;
@Entry
@Component
struct BreathingApp {
@State currentPhase?: BreathingCycle[‘type’];
@State remainingTime: number = 0;
@State rhythmScore: number = 0;
@State connectedDevices: number = 0;
private analyzer = new BreathingAnalyzer();
private guide = new BreathingGuide();
private timer?: number;
async aboutToAppear() {
await this.analyzer.init();
await this.guide.init();
this.setupMonitor();
private setupMonitor() {
eventBus.on('breathing_update', (cycle: BreathingCycle) => {
this.currentPhase = cycle.type;
this.rhythmScore = cycle.rhythmScore;
// 更新倒计时显示
const pattern = this.guide.getCurrentPattern();
this.remainingTime = pattern[cycle.type] - (cycle.duration / 1000);
});
async startSession(pattern: ‘relax’ | ‘energize’) {
await this.guide.guidePattern(pattern);
for await (const cycle of this.analyzer.startMonitoring()) {
eventBus.emit('breathing_update', cycle);
}
build() {
Column() {
// 呼吸状态展示
BreathingVisualizer({
phase: this.currentPhase,
remainingTime: this.remainingTime
})
// 节奏评分
Text(节奏评分: ${(this.rhythmScore * 100).toFixed(0)}%)
.fontSize(16)
.margin(10)
// 设备连接状态
Text(${this.connectedDevices}个设备协同中)
.fontSize(14)
.fontColor('#666666')
// 控制按钮
Row() {
Button('放松模式')
.onClick(() => this.startSession('relax'))
Button('活力模式')
.onClick(() => this.startSession('energize'))
.margin(20)
}
@Component
struct BreathingVisualizer {
@Prop phase?: ‘inhale’ ‘exhale’
‘hold’;
@Prop remainingTime: number;
build() {
Column() {
if (this.phase) {
// 呼吸动画
Circle()
.width(this.phase === ‘inhale’ ? 200 : 150)
.height(this.phase === ‘inhale’ ? 200 : 150)
.fillColor(this.phase === ‘hold’ ? ‘#FFA500’ : ‘#1E90FF’)
.animation({ duration: 1000, iterations: Infinity })
// 指令文本
Text(this.getPhaseText())
.fontSize(24)
.margin(10)
// 倒计时
Text(${Math.max(0, this.remainingTime).toFixed(1)}秒)
.fontSize(18)
else {
Text('准备开始呼吸练习')
.fontSize(20)
}
private getPhaseText(): string {
switch (this.phase) {
case 'inhale': return '吸气...';
case 'exhale': return '呼气...';
case 'hold': return '屏息...';
default: return '准备开始';
}
三、跨设备协同关键实现
多设备节奏同步
// 在BreathingGuide中添加
async syncRhythmAcrossDevices(baseTimestamp: number) {
const devices = await deviceManager.getTrustedDeviceListSync();
await Promise.all(devices.map(device =>
this.sendSyncSignal(device.deviceId, baseTimestamp)
));
private async sendSyncSignal(deviceId: string, timestamp: number) {
try {
await distributedNotification.publish({
targetDevice: deviceId,
message: JSON.stringify({
type: ‘rhythm_sync’,
baseTimestamp: timestamp
})
});
catch (err) {
console.error(同步设备${deviceId}失败:, err);
}
分布式呼吸分析
// 在BreathingAnalyzer中添加
async analyzeMultiDeviceBreathing(): Promise<BreathingReport> {
const devices = await deviceManager.getTrustedDeviceListSync();
const cycles = await Promise.all(
devices.map(device => this.getDeviceCycles(device.deviceId))
);
return {
avgInhale: statistical.mean(cycles.flat().filter(c => c.type === ‘inhale’).map(c => c.duration)),
avgExhale: statistical.mean(cycles.flat().filter(c => c.type === ‘exhale’).map(c => c.duration)),
consistency: this.calculateConsistencyScore(cycles)
};
自适应语音引导
// 在BreathingGuide中添加
async adjustGuidanceBasedOnPerformance(report: BreathingReport) {
const pattern = { …this.currentPattern };
if (report.consistency < 0.6) {
// 节奏不一致时简化模式
pattern.hold = 0;
pattern.inhale = pattern.exhale = 4;
else if (report.avgExhale / report.avgInhale < 1.5) {
// 呼气不足时延长呼气
pattern.exhale = Math.round(pattern.inhale * 1.5);
await this.updateAllDevicesPattern(pattern);
四、性能优化方案
音频处理优化
// 在BreathingAnalyzer中添加
private optimizeAudioProcessing(buffer: ArrayBuffer): Float32Array {
// 降采样并转换为浮点数组
const intView = new Int16Array(buffer);
const floatArray = new Float32Array(intView.length / 2);
for (let i = 0; i < floatArray.length; i++) {
floatArray[i] = (intView[i 2] + intView[i 2 + 1]) / 65536;
return floatArray;
数据同步压缩
// 在BreathingAnalyzer中添加
private compressBreathingCycle(cycle: BreathingCycle): CompressedCycle {
return {
t: cycle.timestamp,
d: cycle.deviceId,
y: cycle.type[0], // ‘i’‘e’
‘h’
s: Math.round(cycle.rhythmScore * 100) / 100
};
本地缓存策略
const patternCache = new Map<string, BreathingPattern>();
async getCachedPattern(userId: string): Promise<BreathingPattern | undefined> {
if (patternCache.has(userId)) {
return patternCache.get(userId);
const pattern = await this.loadUserPattern(userId);
if (pattern) {
patternCache.set(userId, pattern);
return pattern;
五、应用场景扩展
冥想辅助模式
class MeditationMode {
async startGuidedMeditation(duration: number) {
// 结合呼吸训练的冥想引导
}
运动恢复训练
class RecoveryBreathing {
async postWorkoutCooldown() {
// 运动后恢复呼吸训练
}
压力水平监测
class StressMonitor {
async assessFromBreathing(cycles: BreathingCycle[]) {
// 通过呼吸模式评估压力水平
}
睡眠呼吸训练
class SleepBreathing {
async prepareForSleep() {
// 睡前呼吸放松训练
}
本系统充分利用HarmonyOS分布式能力,实现了:
多设备呼吸同步:跨终端保持完全一致的训练节奏
自适应语音引导:根据用户表现动态调整训练难度
实时生物反馈:结合心率等指标优化训练效果
无缝设备切换:训练过程可在不同设备间无缝转移
开发者可以基于此框架扩展更多健康应用场景:
结合AR的呼吸可视化
与智能家居联动的环境调节
医疗级呼吸康复训练
团体呼吸训练课程
