What makes Elderly Fall Detection Skill | 老人跌倒检测技能 notable?

2.2K downloads. Trust evidence available

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Elderly Fall Detection Skill | 老人跌倒检测技能

Utilizes vision and radar technology for contactless detection of falls. It triggers alarms within seconds and is suitable for home safety monitoring of elderly people living alone. | 老人跌倒检测技能，视觉/雷达无感识别摔倒倒地，秒级触发报警，适用于独居老人居家安全监测场景 Skill: Elderly Fall Detection Skill | 老人跌倒检测技能 Owner: 18072937735 Summary: Utilizes vision and radar technology for contactless detection of falls. It triggers alarms within seconds and is suitable for home safety monitoring of elderly people living alone. | 老人跌倒检测技能，视觉/雷达无感识别摔倒倒地，秒级触发报警，适用于独居老人居家安全监测场景 Tags: latest:1.0.16 Version history: v1.0.16 | 2026-09-28T22:17:25.353Z | auto Changelog for version 1.0.16 - Updat

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.2k

Updated

Oct 9, 2026

Version

1.0.16

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.2K 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: 2.2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.16release · observed Sep 28, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-elderly-fall-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-18072937735-smyx-elderly-fall-detection-analysis/snapshot"

Documentation

CLAWHUB

121,520 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "elderly-fall-detection-analysis"
description: "Utilizes vision and radar technology for contactless detection of falls. It triggers alarms within seconds and is suitable for home safety monitoring of elderly people living alone. | 老人跌倒检测技能，视觉/雷达无感识别摔倒倒地，秒级触发报警，适用于独居老人居家安全监测场景"
version: "1.0.18"
license: "MIT-0"
---

# 🧓 Elderly Fall Detection Skill | 老人跌倒检测技能
> **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 | **老人跌倒检测技能** |
| 🎯 核心目标 | 老人跌倒检测技能，视觉/雷达无感识别摔倒倒地，秒级触发报警，适用于独居老人居家安全监测场景 |
| 🖼️ 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 | `ELDERLY_FALL_DETECTION` |

By fusing advanced computer vision with millimeter-wave radar technology, this solution achieves imperceptible yet
precise monitoring of accidents such as falls for seniors living alone. The system automatically identifies abnormal
postures and triggers an instant alarm within seconds. Providing 24/7, high-reliability safety protection for home care
scenarios, it operates without requiring the elderly to wear any devices and strictly preserves their privacy. This
effectively shortens emergency response times and safeguards the lives of the elderly.

该方案通过融合先进的计算机视觉与毫米波雷达技术，实现了对独居老人摔倒、倒地等意外事件的无感化精准监测。系统能够在秒级时间内自动识别异常姿态并即时触发报警机制，在完全无需老人佩戴任何设备、不侵犯隐私的前提下，为居家养老场景提供全天候、高可靠的安全守护，有效缩短救援响应时间，保障老年人的生命安全

## 🎬 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

在监控画面中识别老人跌倒、摔倒、倒地不起异常事件

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 人体检测 |
| 2 | 姿态判断 |
| 3 | 跌倒识别 |
| 4 | 异常秒级报警 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供监控图片/视频需要检测老人跌倒时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要跌倒检测、老人安全监测时，提及老人跌倒、摔倒检测、倒地报警、跌倒报警等关键词，并且上传了图片/视频 |
| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史跌倒报告、跌倒检测报告清单、检测报告列表、查询历史跌倒报告、显示所有跌倒报告、老人跌倒分析报告，查询老人跌倒检测分析报告 |

### 4. 🤖 自动行为

| 自动行为 | 执行要求 |
|---|---|
| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |
| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |

#### ⚠️ 强制数据获取规则（次高优先级）

> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。

必须执行：

```bash
python -m scripts.elderly_fall_detection_analysis --list
```

| 类型 | 要求 |
|---|---|
| ✅ 必须 | 使用 `python -m scripts.elderly_fall_detection_analysis --list` 调用 API 查询云端的历史报告数据 |
| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |
| 🚫 严格禁止 | 手动汇总本地记录中的报告 |
| 🚫 严格禁止 | 从长期记忆中提取报告 |
| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |

## 📦 前置准备 | Requirements
- 依赖说明:scripts 脚本所需的依赖包及版本
  ```
  requests>=2.28.0
  ```

## 📸 监测要求 | Monitoring Requirements
| 要求项 | 说明 |
|---|---|
| 摄像头覆盖完整活动区域 | ，老人活动范围在监控画面内 |
| 光线充足 | ，避免大面积阴影遮挡 |
| 支持固定角度摄像头，最适合浴室、客厅、卧室等老人常活动区域 | 支持固定角度摄像头，最适合浴室、客厅、卧室等老人常活动区域 |

## 🚀 操作步骤 | Workflow
### 🔐 用户身份处理（内部自动完成）

> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。

执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：

| 场景 | 系统行为 |
|---|---|
| 上游系统有内部身份参数 | 由脚本静默接收并使用 |
| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |
| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |
| 对用户输出 | 只展示分析进度、分析结

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-elderly-fall-detection-analysis",
  "version": "1.0.16",
  "publishedAt": 1790633845353
}

references/api_doc.md

# API 接口文档

此处用于存放老人跌倒检测分析 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
- 请求格式：支持文件上传
- 响应格式：JSON

## 主要接口

1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务
2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果
3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告
4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `OPEN_ELDERLY_FALL_DETECTION_ANALYSIS` - 开放平台老人跌倒检测分析

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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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 9, 2026.

About

Avoid when

Public facts

Install and run

Documentation

Extracted files

SKILL.md

_meta.json

references/api_doc.md

skills/smyx_analysis/references/api_doc.md

scripts/config.yaml

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Machine-readable data