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agentCLAWHUBUnverified

Pregnant Prolonged-Standing / Over-Fatigue Detection | 孕妇久站/过度劳累识别

Uses a fixed home camera to detect prolonged standing, bending, and related posture of a pregnant woman, track standing duration and bending frequency, and assess fatigue risk. It sends rest reminders via speaker or app when tiring behavior is found. Suitable for homes, prenatal schools, community health centers, and smart-home or pregnancy apps. For health reference only, not medical diagnosis. | 通过家庭固定摄像头识别孕妇久站、弯腰等姿态，统计连续站立时长和弯腰频次，评估孕期劳累风险。发现久站、频繁弯腰或疑似重体力活动时，生成休息提醒，并可通过智能音箱或手机App推送。适用于家庭、孕妇学校、社区健康中心，可接入智能家居或孕期管理应用；结果仅供健康参考，不替代医生诊断。 Skill: Pregnant Prolonged-Standing / Over-Fatigue Detection | 孕妇久站/过度劳累识别 Owner: smyx-sunjinhui Summary: Uses a fixed home camera to detect prolonged standing, bending, and related posture of a pregnant woman, track standing duration and bending frequency, and assess fatigue risk. It sends rest reminders via speaker or app when tiring behavior is found. Suitable for homes, prenatal schools, community health centers,

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.0k

Updated

Oct 9, 2026

Version

1.0.10

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2K 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: 2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.10release · observed Oct 2, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-pregnant-posture-fatigue-detection-analysis

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-pregnant-posture-fatigue-detection-/snapshot"

Documentation

CLAWHUB

160,000 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-pregnant-posture-fatigue-detection-analysis"
description: "Uses a fixed home camera to detect prolonged standing, bending, and related posture of a pregnant woman, track standing duration and bending frequency, and assess fatigue risk. It sends rest reminders via speaker or app when tiring behavior is found. Suitable for homes, prenatal schools, community health centers, and smart-home or pregnancy apps. For health reference only, not medical diagnosis. | 通过家庭固定摄像头识别孕妇久站、弯腰等姿态，统计连续站立时长和弯腰频次，评估孕期劳累风险。发现久站、频繁弯腰或疑似重体力活动时，生成休息提醒，并可通过智能音箱或手机App推送。适用于家庭、孕妇学校、社区健康中心，可接入智能家居或孕期管理应用；结果仅供健康参考，不替代医生诊断。"
version: "1.0.18"
license: "MIT-0"
---

# 🤰 Pregnant Prolonged-Standing / Over-Fatigue Detection | 孕妇久站/过度劳累识别
> **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 | **孕妇久站/过度劳累识别** |
| 🎯 核心目标 | 通过家庭固定摄像头识别孕妇久站、弯腰等姿态，统计连续站立时长和弯腰频次，评估孕期劳累风险。发现久站、频繁弯腰或疑似重体力活动时，生成休息提醒，并可通过智能音箱或手机App推送。适用于家庭、孕妇学校、社区健康中心，可接入智能家居或孕期管理应用；结果仅供健康参考，不替代医生诊断。 |
| 🖼️ 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_PREGNANT_POSTURE_FATIGUE_DETECTION_ANALYSIS` |

Using a fixed camera at home (e.g., living room, kitchen), the system analyzes a pregnant woman's posture in real time, detecting prolonged standing (continuous standing beyond a threshold, default 30 minutes) and frequent bending (bending frequency exceeding normal levels, e.g., > 10 times per hour), and assesses physical-exertion and fatigue risk. When prolonged standing or frequent bending is detected, it outputs a 'fatigue risk reminder' suggesting the pregnant woman sit down to rest or avoid heavy physical activity, preventing complications from over-fatigue during pregnancy. Application scenarios: pregnant women's homes, prenatal schools, community health centers. The system monitors in real time; when fatiguing behavior is detected, it pushes reminders via smart speaker or mobile app (e.g., 'You've been standing for 30 minutes, please sit down and rest'). Skill features: over-fatigue during pregnancy (prolonged standing, frequent bending) may increase the risk of preterm labor, placental abruption, lumbar/back pain, etc. AI real-time monitoring and reminders help pregnant women adjust activity intensity and protect maternal-infant health. Can be integrated into smart-home cameras or pregnancy-management apps as a caring assistant for expecting parents.

通过家庭固定摄像头（如客厅、厨房）实时分析孕妇的姿态，检测长时间站立（连续站立超过阈值，默认30分钟）以及频繁弯腰（弯腰频次超过正常值，如每小时>10次），评估孕妇的体力消耗和劳累风险。当出现久站或频繁弯腰时，输出'劳累风险提醒'，建议孕妇坐下休息或避免重体力活动，预防孕期过度疲劳引发的并发症。应用场景：孕妇家庭、孕妇学校、社区健康中心。系统实时监测，当检测到劳累行为时通过智能音箱或手机APP推送提醒（如'您已站立30分钟，建议坐下休息'）。技能特点：孕妇过度劳累（久站、频繁弯腰）可能增加早产、胎盘早剥、腰背疼痛等风险。通过AI实时监测并提醒，可帮助孕妇主动调整活动强度，保护母婴健康。该技能可集成到智能家居摄像头或孕期管理APP中，成为准父母的贴心助手。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的孕期健康管理 AI。你的任务是分析固定摄像头（对准孕妇活动区域）的实时视频，检测孕妇的姿态，识别长时间站立（连续站立时长）和频繁弯腰的动作，评估劳累风险。不要提供医疗诊断或具体处方，仅输出基于视觉的姿态和动作统计与友好提醒。** |

## 🎬 技能演示 | Skill Demo

[▶️ 点击查看技能使用介绍](https://lifeemerge

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-pregnant-posture-fatigue-detection-analysis",
  "version": "1.0.10",
  "publishedAt": 1790936065989
}

references/api_doc.md

# API 接口文档

此处用于存放孕妇久站/过度劳累识别 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` - 启动孕妇久站/过度劳累识别任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取姿态/劳累风险结果
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史劳累事件
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_PREGNANT_POSTURE_FATIGUE_DETECTION_ANALYSIS` - 孕妇久站/过度劳累识别

## 输入约束

- 摄像头：家庭客厅 / 厨房 / 卧室固定摄像头，覆盖孕妇主要活动区域，能看到全身轮廓
- 帧率 ≥ 5 FPS；分辨率 ≥ 480p；光照稳定
- 初次部署可在画面中**框选孕妇主要活动区域 ROI**（可选）
- 多人场景下建议结合体型/外观特征锁定主目标（如孕妇穿着特定颜色）
- 隐私敏感场景可启用人体轮廓模式

## 关键观测信号

- `subject_detected` - 是否检测到孕妇
- `posture` - 当前姿态分类（standing / sitting / squatting / bending / lying / walking）
- `continuous_standing_duration_min` - 当次连续站立时长（分钟）
- `bending_event_count_hourly` - 最近 1 小时弯腰次数
- `bending_event_count_daily` - 当日累计弯腰次数
- `lifting_object_event_count_daily` - 当日疑似搬重物动作次数（参考）
- `total_standing_duration_today_min` - 当日累计站立时长
- `sit_break_count_today` - 当日有效坐下休息次数

## 默认阈值（可由调用方覆盖）

- 连续站立阈值：**30 分钟**（continuous_standing_threshold_min）→ 触发"久站提醒"
- 弯腰频率阈值：**每小时 > 10 次** → 触发"频繁弯腰提醒"
- 搬重物动作 ≥ 1 次/天 → 友好提示"避免提搬重物"
- 站立判定中，短暂转身/换姿势 < 30 秒不打断连续计时
- 有效坐下休息：坐下 ≥ 3 分钟 → 重置连续站立计时

## 提醒类型

- `prolonged_standing` - 久站提醒（建议坐下休息）
- `frequent_bending` - 频繁弯腰提醒（建议减少弯腰动作 / 使用辅助工具）
- `heavy_lifting_suspected` - 疑似搬重物提醒
- `combined_fatigue_risk` - 多项异常同时出现（更高优先级）
- `normal` - 正常

## 输出字段（参考）

- `subject_detected` / `posture`
- `current_session` - 当次会话指标（continuous_standing_duration_min / bending_event_count_hourly）
- `daily_metrics` - 当日指标（total_standing_duration_today_min / bending_event_count_daily / lifting_object_event_count_daily / sit_break_count_today）
- `alert_type` - 提醒类型
- `alert_level` - 提醒级别（info / notice / warning）
- `alert_message` - 推送/语音播报文本（如"您已站立 30 分钟，建议坐下休息一会儿~"）
- `recommend_action` - 建议动作（voice_play_reminder / push_app_notice / suggest_rest / suggest_avoid_heavy_lifting / observe_only）

> 仅输出基于视觉的姿态与动作统计与友好提醒，不提供早产、胎盘早剥、腰背疼痛等具体医学诊断；如孕妇有腹痛、阴道出血、明显不适等情况请立即就医并由产科医生评估。

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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