What makes Infant Blanket Kick Detection | 婴幼儿踢被/蹬被识别 notable?

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Infant Blanket Kick Detection | 婴幼儿踢被/蹬被识别

Using a night-time camera (infrared or low-light) above the crib, the system analyzes in real time the coverage of the blanket on the infant's body. It checks whether the blanket coverage is below a preset threshold (e.g., 50%) or recognizes the kicking motions that cause the blanket to slip off, then outputs an alert. | 通过婴儿床夜间摄像头（红外或微光），实时分析婴儿身体及被子的覆盖情况。可联动智能家居设备（如自动调高室温、推送提醒至父母手机），预防婴儿着凉。

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Rank

Safety

Downloads

1.9k

Updated

Oct 9, 2026

Version

1.0.11

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: 1.0.11release · observed Oct 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-infant-blanket-kick-detection-analysis

Install using `clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-infant-blanket-kick-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/smyx-sunjinhui/smyx-infant-blanket-kick-detection-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-infant-blanket-kick-detection-analy/snapshot"

Documentation

CLAWHUB

141,827 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-infant-blanket-kick-detection-analysis"
description: "Using a night-time camera (infrared or low-light) above the crib, the system analyzes in real time the coverage of the blanket on the infant's body. It checks whether the blanket coverage is below a preset threshold (e.g., 50%) or recognizes the kicking motions that cause the blanket to slip off, then outputs an alert. | 通过婴儿床夜间摄像头（红外或微光），实时分析婴儿身体及被子的覆盖情况。可联动智能家居设备（如自动调高室温、推送提醒至父母手机），预防婴儿着凉。"
version: "1.0.16"
license: "MIT-0"
---

# 🛌 Infant Blanket Kick Detection | 婴幼儿踢被/蹬被识别
> **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 | **婴幼儿踢被/蹬被识别** |
| 🎯 核心目标 | 通过婴儿床夜间摄像头（红外或微光），实时分析婴儿身体及被子的覆盖情况。可联动智能家居设备（如自动调高室温、推送提醒至父母手机），预防婴儿着凉。 |
| 🖼️ 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_BLANKET_KICK_DETECTION_ANALYSIS` |

Using a night-time camera (infrared or low-light) above the crib, the system analyzes in real time the coverage of the blanket on the infant's body. It checks whether the blanket coverage is below a preset threshold (e.g., 50%) or recognizes the kicking motions that cause the blanket to slip off, then outputs an alert. The skill can interoperate with smart-home devices (e.g., automatically raising the room temperature, pushing reminders to parents' phones) to help prevent the baby from getting cold. Application scenarios: infant bedrooms, neonatal monitoring rooms. The system monitors continuously at night; when the blanket is kicked off, it automatically issues an alert and advises parents to re-cover or raise the room temperature. Skill features: night-time kicking off the blanket can lead to colds, and parents need to get up frequently to check. AI automatic monitoring relieves parents and helps keep the baby comfortable. A practical add-on feature for smart baby-monitoring products.

通过婴儿床夜间摄像头（红外或微光），实时分析婴儿身体及被子的覆盖情况。检测被子覆盖面积是否小于预设阈值（如50%），或识别婴儿的踢腿动作导致被子滑落，输出预警信息。可联动智能家居设备（如自动调高室温、推送提醒至父母手机），预防婴儿着凉。应用场景：婴儿卧室、新生儿监护室。系统夜间持续监测，当被子大面积踢开时，自动发出预警并建议家长盖被或提高室温。技能特点：婴儿夜间踢被容易导致着凉感冒，家长需频繁起夜检查。通过AI自动监测，可减轻父母负担，保障婴儿睡眠舒适。该技能是智能婴儿监护产品的实用附加功能。

## 🤖 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睡眠安全 AI。你的任务是分析婴儿床区域的夜间视频，检测婴儿身体上被子的覆盖面积比例，识别踢被/蹬被动作。当被子覆盖面积小于预设阈值（默认 50%），或连续踢腿动作导致被子明显滑落时，输出预警。不要提供医疗建议或具体处置方案，仅输出基于视觉的被子覆盖状态与踢被事件。** |

## 🎬 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

基于婴儿床夜间监控视频，实时评估被子覆盖比例，识别踢腿/蹬腿动作及被子滑落事件，并按阈值输出预警，预防夜间着凉

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 婴儿目标检测 |
| 2 | 被子区域分割 |
| 3 | 覆盖比例估算（0-100%） |
| 4 | 覆盖状态分类（full_cover / partial_cover / low_cover / no_cover） |
| 5 | 踢腿/蹬腿动作识别 |
| 6 | 被子下滑事件检测 |
| 7 | 阈值持续判定（默认覆盖率 < 50% 且持续 ≥ 30 秒触发预警） |
| 8 | 智能家居联动建议（如自动提高室温） |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供婴儿床夜间监控视频 URL 或文件需要分析时，默认触发本技能进行踢被/蹬被识别 |
| 🔎 明确分析意图 | 当用户明确提及婴儿踢被、蹬被、被子滑落、被子覆盖不足、夜间着凉、宝宝盖被、婴儿夜间睡眠监护等关键词，并且上传了视频文件 |
| 📚 历史报告查询 | 当

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-infant-blanket-kick-detection-analysis",
  "version": "1.0.11",
  "publishedAt": 1790899164601
}

references/api_doc.md

# API 接口文档

此处用于存放婴幼儿踢被/蹬被识别 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` - 启动婴儿踢被识别任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果与覆盖状态
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史踢被预警记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_INFANT_BLANKET_KICK_DETECTION_ANALYSIS` - 婴幼儿踢被/蹬被识别

## 输入约束

- 摄像头建议固定于婴儿床上方俯视拍摄，覆盖婴儿全身及周边床面
- 夜间需启用红外/微光模式，帧率建议 ≥ 10 FPS
- 时段建议覆盖夜间睡眠主要时段（如 20:00 - 次日 07:00）

## 被子覆盖状态

- `full_cover` - 完整覆盖（≥ 80%）
- `partial_cover` - 部分覆盖（50% - 80%）
- `low_cover` - 覆盖不足（< 50%，触发预警）
- `no_cover` - 被子完全踢开 / 不在身体上

## 关键检测事件

- `kick_motion` - 踢腿/蹬腿动作（连续幅度较大）
- `blanket_slip` - 被子下滑事件
- `blanket_off_body` - 被子离开身体事件
- `coverage_below_threshold` - 覆盖率持续低于阈值（默认 50%）

## 默认阈值（可由调用方覆盖）

- 覆盖率告警阈值：50%（coverage_threshold_pct）
- 持续秒数阈值：30 秒（low_cover_duration_threshold_sec）

## 输出字段（参考）

- `infant_detected` - 是否检测到婴儿
- `blanket_coverage_pct` - 当前被子覆盖比例（%）
- `coverage_state` - 覆盖状态（full_cover / partial_cover / low_cover / no_cover）
- `kick_events` - 踢被事件列表（时间戳 + 持续时长）
- `low_cover_duration_sec` - 当次覆盖不足持续秒数
- `alert_level` - 预警等级（none / info / warning）
- `alert_message` - 预警文本（如"宝宝被子已被踢开，建议盖被或提高室温"）
- `smart_home_hint` - 联动智能家居建议（如"建议自动提高室温 1℃"）

> 仅输出基于视觉的被子覆盖状态与踢被事件，不提供医疗建议或具体处置方案。

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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