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elderly-fall-detection-analysis

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-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/18072937735/smyx-elderly-fall-detection-analysis
Or

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

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

⚠️ 强制记忆规则(最高优先级)

本技能明确约定:

  • 绝对禁止读取任何本地记忆文件:包括但不限于 memory/YYYY-MM-DD.mdMEMORY.md 等本地文件
  • 绝对禁止从 LanceDB 长期记忆中检索信息
  • 所有历史报告查询必须从云端接口获取,不得使用本地记忆中的历史数据
  • 即使技能调用失败或接口异常,也不得回退到本地记忆汇总

任务目标

  • 本 Skill 用于:在监控画面中识别老人跌倒、摔倒、倒地不起异常事件
  • 能力包含:人体检测、姿态判断、跌倒识别、异常秒级报警
  • 技术支持:视觉视频检测 + 雷达辅助无感识别,无需穿戴设备
  • 响应速度:秒级检测识别,发现异常立即触发报警
  • 适用场景:独居老人居家安全监测、养老院老人活动区域监测
  • 触发条件:
    1. 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
    2. 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
    3. 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
  • 自动行为:
    1. 如果用户上传了附件或者图片/视频文件,则自动保存到技能目录下 attachments
    2. ⚠️ 强制数据获取规则(次高优先级):如果用户触发任何历史报告查询关键词(如"查看所有跌倒报告"、"显示所有报警记录"、" 查看历史报告"等),必须
      • 直接使用 python -m scripts.elderly_fall_detection_analysis --list --open-id 参数调用 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
      • 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

  • 依赖说明:scripts 脚本所需的依赖包及版本
    requests>=2.28.0
    

监测要求(获得准确结果的前提)

为了获得准确及时的跌倒检测,请确保:

  1. 摄像头覆盖完整活动区域,老人活动范围在监控画面内
  2. 光线充足,避免大面积阴影遮挡
  3. 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

🔒 open-id 获取流程控制(强制执行,防止遗漏)

在执行老人跌倒检测分析前,必须按以下优先级顺序获取 open-id:

第 1 步:【最高优先级】检查技能所在目录的配置文件(优先)
        路径:skills/smyx_common/scripts/config.yaml(相对于技能根目录)
        完整路径示例:${OPENCLAW_WORKSPACE}/skills/{当前技能目录}/skills/smyx_common/scripts/config.yaml
        → 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
        ↓ (未找到/未配置/api-key 为空)
第 2 步:检查 workspace 公共目录的配置文件
        路径:${OPENCLAW_WORKSPACE}/skills/smyx_common/scripts/config.yaml
        → 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
        ↓ (未找到/未配置)
第 3 步:检查用户是否在消息中明确提供了 open-id
        ↓ (未提供)
第 4 步:❗ 必须暂停执行,明确提示用户提供用户名或手机号作为 open-id

⚠️ 关键约束:

  • 禁止自行假设,自行推导,自行生成 open-id 值(如 openclaw-control-ui、default、fall123、elderly456 等)
  • 禁止跳过 open-id 验证直接调用 API
  • 必须在获取到有效 open-id 后才能继续执行分析
  • 如果用户拒绝提供 open-id,说明用途(用于保存和查询跌倒检测报告记录),并询问是否继续

Metadata

Stars4473
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Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-18072937735-smyx-elderly-fall-detection-analysis": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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