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Elderly Facial Asymmetry / Mouth-Corner Deviation Detection | 老年人面部不对称/口角歪斜识别

Using a fixed home camera to capture frontal facial images or short videos of the elderly, the system uses AI facial-landmark detection to analyze features such as the height difference between left/right mouth corners, the symmetry of nasolabial folds (smile lines), and the asymmetry of eyebrow lifts, and computes a facial asymmetry index (0-100%). | 通过家庭固定摄像头拍摄老年人正面面部图像或视频，利用AI面部关键点检测技术分析左右嘴角的高度差、鼻唇沟（法令纹）的对称性、眉毛抬高的差异等特征，计算面部不对称指数（0-100%）。该技能可作为脑卒中（中风）前兆的辅助筛查工具，提示家属或护理人员关注老年人是否存在面瘫、口角歪斜等神经系统异常，及时就医。 Skill: Elderly Facial Asymmetry / Mouth-Corner Deviation Detection | 老年人面部不对称/口角歪斜识别 Owner: smyx-sunjinhui Summary: Using a fixed home camera to capture frontal facial images or short videos of the elderly, the system uses AI facial-landmark detection to analyze features such as the height difference between left/right mouth corners, the symmetry of nasolabial folds (smile lines), and the asymmetry of eyebrow lifts,

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.8k

Updated

Oct 10, 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. 1.8K downloads reported by the source. Last updated 10/10/2026.

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 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.8K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.11release · observed Oct 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-elderly-facial-asymmetry-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-elderly-facial-asymmetry-analysis/snapshot"

Documentation

CLAWHUB

147,406 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-elderly-facial-asymmetry-analysis"
description: "Using a fixed home camera to capture frontal facial images or short videos of the elderly, the system uses AI facial-landmark detection to analyze features such as the height difference between left/right mouth corners, the symmetry of nasolabial folds (smile lines), and the asymmetry of eyebrow lifts, and computes a facial asymmetry index (0-100%). | 通过家庭固定摄像头拍摄老年人正面面部图像或视频，利用AI面部关键点检测技术分析左右嘴角的高度差、鼻唇沟（法令纹）的对称性、眉毛抬高的差异等特征，计算面部不对称指数（0-100%）。该技能可作为脑卒中（中风）前兆的辅助筛查工具，提示家属或护理人员关注老年人是否存在面瘫、口角歪斜等神经系统异常，及时就医。"
version: "1.0.16"
license: "MIT-0"
---

# 🙂 Elderly Facial Asymmetry / Mouth-Corner Deviation Detection | 老年人面部不对称/口角歪斜识别
> **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 | **老年人面部不对称/口角歪斜识别** |
| 🎯 核心目标 | 通过家庭固定摄像头拍摄老年人正面面部图像或视频，利用AI面部关键点检测技术分析左右嘴角的高度差、鼻唇沟（法令纹）的对称性、眉毛抬高的差异等特征，计算面部不对称指数（0-100%）。该技能可作为脑卒中（中风）前兆的辅助筛查工具，提示家属或护理人员关注老年人是否存在面瘫、口角歪斜等神经系统异常，及时就医。 |
| 🖼️ 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_ELDERLY_FACIAL_ASYMMETRY_ANALYSIS` |

Using a fixed home camera to capture frontal facial images or short videos of the elderly, the system uses AI facial-landmark detection to analyze features such as the height difference between left/right mouth corners, the symmetry of nasolabial folds (smile lines), and the asymmetry of eyebrow lifts, and computes a facial asymmetry index (0-100%). The skill works as an auxiliary screening tool for stroke prodromal signs, reminding family members or caregivers to pay attention to facial paralysis or mouth-corner deviation and seek timely medical care. Application scenarios: home-based elderly care, nursing homes, community health centers. The system can be scheduled (e.g., daily) or auto-triggered when abnormal behavior is observed; it outputs an asymmetry index and pushes a 'facial asymmetry risk' alert when a threshold is exceeded. Skill features: facial asymmetry is an important early sign of stroke. AI periodic screening helps families detect anomalies in time and preserve the thrombolytic treatment window. Can be integrated into smart cameras or health-management platforms as a practical feature for at-home senior health monitoring.

通过家庭固定摄像头拍摄老年人正面面部图像或视频，利用AI面部关键点检测技术分析左右嘴角的高度差、鼻唇沟（法令纹）的对称性、眉毛抬高的差异等特征，计算面部不对称指数（0-100%）。该技能可作为脑卒中（中风）前兆的辅助筛查工具，提示家属或护理人员关注老年人是否存在面瘫、口角歪斜等神经系统异常，及时就医。应用场景：居家养老、养老院、社区健康中心。系统可定期（如每天）或在老年人出现异常行为时自动触发检测，输出不对称指数，当超过设定阈值时推送'面部不对称风险'提醒。技能特点：面部不对称是脑卒中的重要早期体征之一。通过AI定期检测，可帮助家属及时发现异常，争取溶栓治疗时间窗。该技能可集成到智能摄像头或健康管理平台中，成为老年人居家健康监测的实用功能。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的老年人健康监测 AI。你的任务是分析老年人正面面部图像，检测左右两侧面部关键点的对称性，计算不对称指数。不要提供医疗诊断或临床建议，仅输出基于面部几何特征的客观指标与风险等级提示。** |

## 🎬 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

基于老年人正面面部图像或短视频，定量评估面部对称性，给出 0-100% 不对称指数与风险等级提示，辅助卒中/面瘫早期筛查

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 正面面部检测

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-elderly-facial-asymmetry-analysis",
  "version": "1.0.11",
  "publishedAt": 1790863349942
}

references/api_doc.md

# API 接口文档

此处用于存放老年人面部不对称/口角歪斜识别 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` - 启动老年人面部不对称识别任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果与不对称指数
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史面部对称性记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_ELDERLY_FACIAL_ASYMMETRY_ANALYSIS` - 老年人面部不对称/口角歪斜识别

## 输入约束

- 推荐使用正面、平视、清晰、光照均匀的面部图像或短视频
- 单图像或 3-10 秒静止表情视频均可
- 拍摄距离建议 30-80 cm，五官区域清晰可见

## 关键观测指标

- 左右嘴角高度差（mouth_corner_height_diff）
- 鼻唇沟（法令纹）对称性（nasolabial_fold_symmetry）
- 左右眉毛抬高差异（eyebrow_lift_diff）
- 眼裂宽度对称性（eye_aperture_symmetry）
- 整体面部水平中线偏移（midline_offset）

## 不对称指数（0-100%）

- 0-15% - 正常对称范围
- 15-30% - 轻度不对称（建议复测）
- 30-50% - 中度不对称（建议关注）
- ≥ 50% - 重度不对称（强烈建议尽快就医）

## 输出字段（参考）

- `face_detected` - 是否检测到正面面部
- `asymmetry_index` - 面部不对称指数（0-100%）
- `mouth_corner_drop_side` - 口角下垂侧（left / right / none）
- `key_metrics` - 各关键观测指标数值（嘴角差 / 法令纹对称性 / 眉毛抬高差等）
- `risk_level` - 风险等级（normal / mild / moderate / severe）
- `alert_message` - 风险提示文本（如"检测到面部不对称指数偏高，建议关注是否存在面瘫或卒中前兆，必要时就医"）
- `medical_followup_hint` - 建议医疗复核提示（仅作建议，非诊断）

> 仅输出基于面部几何特征的客观指标与风险等级提示，不提供医学诊断；如出现疑似面瘫/口角歪斜伴随其他症状（如肢体无力、言语含糊），请按"中风急救"流程立即就医。

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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