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Child Poor Posture (Hunchback / Head Tilt) Real-Time Reminder | 儿童坐姿不良（驼背/歪头）实时提醒

Using the camera built into a smart desk lamp or mounted above the desk, the system analyzes the child's sitting-posture video in real time, detecting spinal curvature angle (estimated Cobb angle) and head tilt angle. | 通过智能台灯内置摄像头或书桌上方摄像头，实时分析儿童学习时的坐姿视频，检测脊柱弯曲角度（Cobb角估算）以及头部倾斜度（侧倾角）。当驼背（Cobb角>10°）或歪头（头部侧倾角>15°）持续时间超过预设阈值（如5秒）时，触发语音提醒（如'请坐直'、'头抬正'），帮助儿童养成良好坐姿习惯，预防近视和脊柱侧弯。

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.9k

Updated

Oct 9, 2026

Version

1.0.13

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K 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: 1.9K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.13release · observed Oct 3, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-child-poor-posture-detection-analysis

Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-child-poor-posture-detection-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-poor-posture-detection-analysis before using production credentials.

Contract: missing

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

Documentation

CLAWHUB

130,446 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-child-poor-posture-detection-analysis"
description: "Using the camera built into a smart desk lamp or mounted above the desk, the system analyzes the child's sitting-posture video in real time, detecting spinal curvature angle (estimated Cobb angle) and head tilt angle. | 通过智能台灯内置摄像头或书桌上方摄像头，实时分析儿童学习时的坐姿视频，检测脊柱弯曲角度（Cobb角估算）以及头部倾斜度（侧倾角）。当驼背（Cobb角>10°）或歪头（头部侧倾角>15°）持续时间超过预设阈值（如5秒）时，触发语音提醒（如'请坐直'、'头抬正'），帮助儿童养成良好坐姿习惯，预防近视和脊柱侧弯。"
version: "1.0.15"
license: "MIT-0"
---

# 🪑 Child Poor Posture (Hunchback / Head Tilt) Real-Time Reminder | 儿童坐姿不良（驼背/歪头）实时提醒
> **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 | **儿童坐姿不良（驼背/歪头）实时提醒** |
| 🎯 核心目标 | 通过智能台灯内置摄像头或书桌上方摄像头，实时分析儿童学习时的坐姿视频，检测脊柱弯曲角度（Cobb角估算）以及头部倾斜度（侧倾角）。当驼背（Cobb角>10°）或歪头（头部侧倾角>15°）持续时间超过预设阈值（如5秒）时，触发语音提醒（如'请坐直'、'头抬正'），帮助儿童养成良好坐姿习惯，预防近视和脊柱侧弯。 |
| 🖼️ 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_POOR_POSTURE_DETECTION_ANALYSIS` |

Using the camera built into a smart desk lamp or mounted above the desk, the system analyzes the child's sitting-posture video in real time, detecting spinal curvature angle (estimated Cobb angle) and head tilt angle. When hunchback (Cobb > 10°) or head tilt (> 15°) persists longer than a preset threshold (e.g., 5 seconds), a voice prompt is triggered (e.g., 'sit up straight', 'lift your head'), helping children develop good posture habits and preventing myopia and scoliosis. Application scenarios: smart study lamps, home desks, school classrooms. The system monitors in real time, sends voice cues when posture deviates, and generates posture reports pushed to parents. Skill features: long-term poor posture in children can lead to myopia and scoliosis. AI real-time monitoring + voice prompts help children correct posture seamlessly and develop good habits. Can be integrated into smart desk lamps or study desks to boost product differentiation.

通过智能台灯内置摄像头或书桌上方摄像头，实时分析儿童学习时的坐姿视频，检测脊柱弯曲角度（Cobb角估算）以及头部倾斜度（侧倾角）。当驼背（Cobb角>10°）或歪头（头部侧倾角>15°）持续时间超过预设阈值（如5秒）时，触发语音提醒（如'请坐直'、'头抬正'），帮助儿童养成良好坐姿习惯，预防近视和脊柱侧弯。应用场景：智能学习台灯、家庭书桌、学校教室。系统实时监测，当坐姿异常时发出语音提示，并生成坐姿报告推送给家长。技能特点：儿童长期坐姿不良会导致近视、脊柱侧弯等问题。通过AI实时监测并语音提醒，可帮助儿童无感纠正姿态，养成良好习惯。该技能可集成到智能台灯或学习桌中，提升产品差异化竞争力。

## 🤖 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健康坐姿 AI。你的任务是分析儿童学习区域的实时视频，检测坐姿姿态，估算脊柱弯曲角度（Cobb 角）和头部倾斜角度。当驼背或歪头持续时间超过阈值时，输出语音提醒指令。不要提供医疗诊断或具体矫正训练方案，仅输出基于视觉的姿态分析结果与语音提醒指令。** |

## 🎬 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

基于智能台灯/书桌摄像头视频，实时估算儿童脊柱弯曲与头部倾斜角度，超阈值触发语音提醒并汇总会话坐姿质量

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 儿童上半身检测 |
| 2 | 姿态关键点估计 |
| 3 | Cobb 角估算 |
| 4 | 头部侧倾角 |
| 5 | 双肩水平偏差 |
| 6 | 眼睛-书面距离估算 |
| 7 | 不良姿态类型分类（hunchback / head_tilt / forward_head / shoulder_asymmetry / too_close_to_desk） |
| 8 | 持续时间判定（默认 5 秒） |
| 9 | 语音提醒文本生成 |
| 10 | 会话坐姿摘要 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供儿童学习区域坐姿监控视频

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-child-poor-posture-detection-analysis",
  "version": "1.0.13",
  "publishedAt": 1791038125973
}

references/api_doc.md

# API 接口文档

此处用于存放儿童坐姿不良（驼背/歪头）实时提醒 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` - 启动儿童坐姿不良识别任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果与语音提醒指令
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史坐姿监测记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_CHILD_POOR_POSTURE_DETECTION_ANALYSIS` - 儿童坐姿不良（驼背/歪头）实时提醒

## 输入约束

- 摄像头建议为智能台灯内置摄像头或书桌上方摄像头
- 视野需覆盖儿童上半身（肩部至头部）
- 视频帧率建议 ≥ 15 FPS；光照均匀，避免逆光

## 关键观测指标

- `cobb_angle_deg` - 脊柱弯曲角度估算（Cobb 角，°）
- `head_tilt_deg` - 头部侧倾角度（°）
- `shoulder_horizontal_offset_deg` - 双肩水平偏差（°）
- `eye_to_desk_distance_cm` - 眼睛与书面距离（估算，cm）

## 默认告警阈值（可由调用方覆盖）

- 驼背：Cobb 角 > 10°
- 歪头：头部侧倾角 > 15°
- 持续时长触发阈值：5 秒（hold_duration_threshold_sec）
- 用眼距离过近：< 25 cm（建议触发"距离过近"提醒）

## 不良姿态类型

- `hunchback` - 驼背
- `head_tilt` - 歪头
- `forward_head` - 头部前伸
- `shoulder_asymmetry` - 双肩不平
- `too_close_to_desk` - 离书面过近

## 输出字段（参考）

- `child_detected` - 是否检测到儿童
- `posture_metrics` - 姿态参数（cobb_angle_deg / head_tilt_deg / shoulder_horizontal_offset_deg / eye_to_desk_distance_cm）
- `poor_posture_type` - 当前不良姿态类型
- `hold_duration_sec` - 不良姿态持续秒数
- `voice_prompt` - 语音提醒指令文本（如"请坐直"、"头抬正"、"眼睛离书本远一点"）
- `event_time` - 事件时间戳
- `snapshot_url` - 现场快照 URL
- `summary` - 当次会话不良姿态统计（每类型次数/总持续时长）

> 仅输出基于视觉的姿态分析结果与语音提醒指令，不提供医疗诊断或具体矫正训练方案。

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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