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Child Emotion Recognition (Crying/Tantrum/Low Mood) | 儿童情绪波动识别（哭闹/暴躁/低落）

Using fixed cameras (and optional microphones) at home or in kindergartens, AI multimodal analysis recognizes a child's facial expressions (eyebrow/eye shape, mouth-corner curvature), cry-sound features (pitch, frequency, duration), and body-motion amplitude (waving, stomping, curling up) in real time, and jointly identifies the child's typical emotional state: happy, sad, angry, fearful, etc. | 通过家庭或幼儿园内的固定摄像头（及可选麦克风），利用AI多模态分析技术实时分析儿童的面部表情（如眉眼形态、嘴角弧度）、哭声音频特征（音调、频率、持续时间）以及肢体动作幅度（挥手、跺脚、蜷缩等），综合识别出儿童当前的典型情绪状态：快乐、悲伤、愤怒、恐惧等。

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.9k

Updated

Oct 9, 2026

Version

1.0.30

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.9K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.9K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.30release · observed Sep 30, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-child-emotion-recognition-analysis

Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-child-emotion-recognition-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-child-emotion-recognition-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-child-emotion-recognition-analysis/snapshot"

Documentation

CLAWHUB

146,953 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-child-emotion-recognition-analysis"
description: "Using fixed cameras (and optional microphones) at home or in kindergartens, AI multimodal analysis recognizes a child's facial expressions (eyebrow/eye shape, mouth-corner curvature), cry-sound features (pitch, frequency, duration), and body-motion amplitude (waving, stomping, curling up) in real time, and jointly identifies the child's typical emotional state: happy, sad, angry, fearful, etc. | 通过家庭或幼儿园内的固定摄像头（及可选麦克风），利用AI多模态分析技术实时分析儿童的面部表情（如眉眼形态、嘴角弧度）、哭声音频特征（音调、频率、持续时间）以及肢体动作幅度（挥手、跺脚、蜷缩等），综合识别出儿童当前的典型情绪状态：快乐、悲伤、愤怒、恐惧等。"
version: "1.0.14"
license: "MIT-0"
---

# 😊 Child Emotion Recognition (Crying/Tantrum/Low Mood) | 儿童情绪波动识别（哭闹/暴躁/低落）
> **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 | **儿童情绪波动识别（哭闹/暴躁/低落）** |
| 🎯 核心目标 | 通过家庭或幼儿园内的固定摄像头（及可选麦克风），利用AI多模态分析技术实时分析儿童的面部表情（如眉眼形态、嘴角弧度）、哭声音频特征（音调、频率、持续时间）以及肢体动作幅度（挥手、跺脚、蜷缩等），综合识别出儿童当前的典型情绪状态：快乐、悲伤、愤怒、恐惧等。 |
| 🖼️ 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_CHILD_EMOTION_RECOGNITION_ANALYSIS` |

Using fixed cameras (and optional microphones) at home or in kindergartens, AI multimodal analysis recognizes a child's facial expressions (eyebrow/eye shape, mouth-corner curvature), cry-sound features (pitch, frequency, duration), and body-motion amplitude (waving, stomping, curling up) in real time, and jointly identifies the child's typical emotional state: happy, sad, angry, fearful, etc. The skill helps parents or teachers learn the child's mental state in time and provide effective soothing or intervention. Application scenarios: families, kindergartens, early-education centers. The system monitors in real time; when negative emotions (anger, fear, sadness) are detected, it can push reminders via app and suggest soothing actions (e.g., 'baby looks scared, please give a hug'). Skill features: children express emotions directly but busy parents often miss them. AI multimodal analysis helps parents understand the child's inner state, promote parent-child communication, and prevent emotional pile-up. Can be integrated into smart parenting devices or kindergarten management systems to upgrade smart-care capabilities.

通过家庭或幼儿园内的固定摄像头（及可选麦克风），利用AI多模态分析技术实时分析儿童的面部表情（如眉眼形态、嘴角弧度）、哭声音频特征（音调、频率、持续时间）以及肢体动作幅度（挥手、跺脚、蜷缩等），综合识别出儿童当前的典型情绪状态：快乐、悲伤、愤怒、恐惧等。该技能有助于家长或教师及时了解儿童心理状态，进行有效安抚或干预。应用场景：家庭、幼儿园、早教中心。系统实时监测，当识别到负面情绪（如愤怒、恐惧、悲伤）时，可通过APP推送提醒，并建议安抚措施（如'宝宝看起来害怕，请抱抱他'）。技能特点：儿童情绪表达直接但不易被忙碌的家长及时捕捉。通过AI多模态分析，可帮助家长理解孩子内心状态，促进亲子沟通，预防情绪积压。该技能可集成到智能育儿设备或幼儿园管理系统中，提升智能化关怀水平。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的儿童情绪分析 AI。你的任务是分析儿童面部表情、哭声（若有音频）以及肢体动作，综合判断儿童当前的情绪类别。不要提供心理诊断或临床建议，仅输出基于多模态特征的情绪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

基于儿童监控视频（含或不含音频），多模态识别儿童当前主导情绪与强度，给出方向性安抚提示

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 儿童面部检测与表情识别（眉眼形态 |
| 2 | 嘴角弧度

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-child-emotion-recognition-analysis",
  "version": "1.0.30",
  "publishedAt": 1790804611349
}

references/api_doc.md

# API 接口文档

此处用于存放儿童情绪波动识别（哭闹/暴躁/低落）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` - 启动儿童情绪识别任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果与情绪分类
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史情绪记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_CHILD_EMOTION_RECOGNITION_ANALYSIS` - 儿童情绪波动识别（哭闹/暴躁/低落）

## 输入约束

- 推荐视频清晰展示儿童面部（正面或侧脸），帧率 ≥ 15 FPS
- 如需音频通道（哭声分析），上传带音频的 mp4/mov
- 摄像头建议覆盖家庭客厅、儿童房或幼儿园活动区

## 多模态特征

- 视觉：面部表情（眉眼形态、嘴角弧度）、肢体动作幅度（挥手 / 跺脚 / 蜷缩）
- 听觉（可选）：哭声音调、频率、持续时间
- 时序：情绪持续时长、波动频次

## 情绪类别枚举

- `happy` - 快乐
- `calm` - 平静
- `sad` - 悲伤 / 低落
- `angry` - 愤怒 / 暴躁
- `fear` - 恐惧 / 害怕
- `cry` - 哭闹
- `surprise` - 惊讶

## 输出字段（参考）

- `child_detected` - 是否检测到儿童
- `dominant_emotion` - 主导情绪类别
- `emotion_confidence` - 主导情绪置信度
- `emotion_intensity` - 情绪强度（low / medium / high）
- `secondary_emotions` - 其他次要情绪及概率
- `duration_sec` - 当前情绪持续秒数
- `negative_emotion_alert` - 负面情绪预警（愤怒/恐惧/悲伤/哭闹超阈值）
- `soothing_hint` - 安抚提示文案（如"宝宝看起来害怕，请抱抱他"）

> 仅输出基于多模态特征的情绪分类结果与安抚提示，不提供心理诊断或临床建议。

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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