How should smyx_infant_cry_cause_classification_analysis | 婴幼儿哭声原因分类 be evaluated before use?

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smyx_infant_cry_cause_classification_analysis | 婴幼儿哭声原因分类

Using the built-in microphone of a baby monitor or smart camera to capture infant cry audio, AI acoustic analysis extracts cry features such as frequency, pitch, rhythm, and duration, and classifies the possible causes behind the cry (hunger, sleepiness, pain/discomfort, boredom/need for comfort, fear, etc.), outputting the most likely cause and its confidence. | 通过婴儿监护器或智能摄像头的内置麦克风采集婴儿哭声音频，利用AI声学分析技术提取哭声的频率、音调、节奏、持续时间等特征，分类识别婴儿哭声背后的可能原因（饥饿、困倦、疼痛/不适、无聊/需要安抚、恐惧等），输出最可能的原因类别及置信度。系统实时监测哭声，当检测到哭声时自动分析并在父母手机APP上推送结果（如'宝宝可能是饿了，建议喂奶'）。

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Downloads

2.1k

Updated

Oct 9, 2026

Version

1.0.13

Source

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About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.1K downloads reported by the source. Last updated 10/9/2026.

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Public facts

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Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.1K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.13release · observed Sep 30, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-infant-cry-cause-classification-analysis

Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-infant-cry-cause-classification-analysis` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/18072937735/smyx-infant-cry-cause-classification-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-infant-cry-cause-classification-analys/snapshot"

Documentation

CLAWHUB

147,212 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-infant-cry-cause-classification-analysis"
description: "Using the built-in microphone of a baby monitor or smart camera to capture infant cry audio, AI acoustic analysis extracts cry features such as frequency, pitch, rhythm, and duration, and classifies the possible causes behind the cry (hunger, sleepiness, pain/discomfort, boredom/need for comfort, fear, etc.), outputting the most likely cause and its confidence. | 通过婴儿监护器或智能摄像头的内置麦克风采集婴儿哭声音频，利用AI声学分析技术提取哭声的频率、音调、节奏、持续时间等特征，分类识别婴儿哭声背后的可能原因（饥饿、困倦、疼痛/不适、无聊/需要安抚、恐惧等），输出最可能的原因类别及置信度。系统实时监测哭声，当检测到哭声时自动分析并在父母手机APP上推送结果（如'宝宝可能是饿了，建议喂奶'）。"
version: "1.0.17"
license: "MIT-0"
---

# 🍼 Infant Cry Cause Classification | 婴幼儿哭声原因分类
> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询

---

## 🧭 技能概览 | Overview

| 模块 | 内容 |
|---|---|
| 🏷️ 技能名称 | **婴幼儿哭声原因分类** |
| 🎯 核心目标 | 通过婴儿监护器或智能摄像头的内置麦克风采集婴儿哭声音频，利用AI声学分析技术提取哭声的频率、音调、节奏、持续时间等特征，分类识别婴儿哭声背后的可能原因（饥饿、困倦、疼痛/不适、无聊/需要安抚、恐惧等），输出最可能的原因类别及置信度。系统实时监测哭声，当检测到哭声时自动分析并在父母手机APP上推送结果（如'宝宝可能是饿了，建议喂奶'）。 |
| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |
| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |
| 🧩 场景码 | `SMYX_INFANT_CRY_CAUSE_CLASSIFICATION_ANALYSIS` |

Using the built-in microphone of a baby monitor or smart camera to capture infant cry audio, AI acoustic analysis extracts cry features such as frequency, pitch, rhythm, and duration, and classifies the possible causes behind the cry (hunger, sleepiness, pain/discomfort, boredom/need for comfort, fear, etc.), outputting the most likely cause and its confidence. The skill helps new parents quickly understand what their baby needs, reducing anxiety and improving parenting efficiency. Application scenarios: nurseries, neonatal monitoring rooms, daycare institutions, smart baby monitors. The system monitors crying in real time and, when a cry is detected, automatically analyzes it and pushes the result to the parents' mobile app (e.g., 'baby may be hungry, try feeding'). Skill features: new parents often feel anxious because they cannot distinguish the cause of crying. AI-assisted analysis provides objective reference, helps parents meet the baby's needs in time, reduces crying duration, and improves the parenting experience. A core selling point of smart maternal-and-child products.

通过婴儿监护器或智能摄像头的内置麦克风采集婴儿哭声音频，利用AI声学分析技术提取哭声的频率、音调、节奏、持续时间等特征，分类识别婴儿哭声背后的可能原因（饥饿、困倦、疼痛/不适、无聊/需要安抚、恐惧等），输出最可能的原因类别及置信度。该技能有助于新手父母快速理解婴儿需求，减少焦虑，提高育儿效率。应用场景：婴儿房、新生儿监护室、托育机构、智能婴儿监护器。系统实时监测哭声，当检测到哭声时自动分析并在父母手机APP上推送结果（如'宝宝可能是饿了，建议喂奶'）。技能特点：新手父母常因无法分辨婴儿哭声原因而焦虑。通过AI辅助分析，可提供客观参考，帮助父母及时满足婴儿需求，减少哭闹时长，提升育儿幸福感。该技能是智能母婴产品的核心卖点之一。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的婴儿哭声分析 AI。你的任务是分析婴儿哭声音频片段，提取声学特征（基频、共振峰、能量包络、持续时间、间隔模式等），并分类输出最可能的原因。不要提供医疗诊断或临床建议，仅输出基于声学的分类结果与方向性安抚提示。** |

## 🎬 技能演示 | Skill Demo

[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)

---

## 🎯 任务目标 | Goals
### 1. 🧩 技能用途

基于婴儿哭声音频片段（或带音频的视频），多分类识别哭声背后的可能原因，给出主原因置信度与方向性安抚提示

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 哭声检测（区分哭声与背景噪音/语音） |
| 2 | 声学特征提取（F0 基频 / 共振峰 / 能

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-infant-cry-cause-classification-analysis",
  "version": "1.0.13",
  "publishedAt": 1790782465918
}

references/api_doc.md

# API 接口文档

此处用于存放婴幼儿哭声原因分类 API 的接口文档，待后续补充。

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 响应格式：JSON

## 主要接口

1. `/web/health-analysis/v2/start-health-analysis` - 启动婴儿哭声原因分类任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果与最可能原因
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史哭声分析记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_INFANT_CRY_CAUSE_CLASSIFICATION_ANALYSIS` - 婴幼儿哭声原因分类

## 输入约束

- 推荐采样率 ≥ 16 kHz、单声道 PCM/AAC，时长建议 3-30 秒
- 支持 wav / mp3 / m4a / aac / opus 等常见音频格式，也支持带音频的 mp4/mov
- 录音环境建议尽量减少背景噪音（电视、对话等）

## 提取的声学特征

- 基频（F0 / pitch）
- 共振峰（formant F1-F3）
- 能量包络（energy envelope）
- 哭声/停顿持续时间
- 节奏与间隔模式（rhythm / interval pattern）
- 谱质心 / MFCC 等

## 哭声原因类别

- `hunger` - 饥饿
- `sleepy` - 困倦
- `pain_discomfort` - 疼痛 / 不适（如尿布湿、肚子胀）
- `boredom_need_attention` - 无聊 / 需要安抚
- `fear` - 恐惧
- `colic` - 肠绞痛（特殊高频长哭）
- `unknown` - 不明（置信度偏低时）

## 输出字段（参考）

- `cry_detected` - 是否检测到婴儿哭声（与非哭声噪音区分）
- `dominant_cause` - 最可能的哭声原因类别
- `confidence` - 主原因置信度
- `secondary_causes` - 次要原因及概率列表
- `cry_duration_sec` - 哭声持续秒数
- `audio_features_summary` - 关键声学特征摘要
- `suggestion_hint` - 行动建议提示（如"宝宝可能是饿了，建议喂奶"）

> 仅输出基于声学特征的分类结果与方向性安抚提示，不提供医疗诊断或临床建议。若婴儿持续哭闹超过常态或伴随发热、呕吐等症状，请及时就医。

skills/smyx_analysis/references/api_doc.md

# API接口文档

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 错误码说明

| 错误码 | 说明       |
|-----|----------|
| 400 | 请求参数错误   |
| 401 | API密钥无效  |
| 403 | 权限不足     |
| 413 | 文件过大     |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误  |

scripts/config.yaml

{}

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