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Elderly Loneliness / Depression-Tendency Behavior Analysis | 老年人孤独/抑郁倾向行为分析

Using fixed cameras at home (living room, bedroom) of elderly people living alone, the system analyzes daily videos and detects negative behavior indicators during solo time: dazing (long-duration motionless gazing without purposeful action), sighing (rapid chest rise-and-fall with audible expiration), and self-talking (mouth movement without any conversation partner). | 通过独居老人在家中的固定摄像头（如客厅、卧室），分析日常视频，检测独处期间的消极行为指标：发呆（长时间静止注视，缺乏目的性动作）、叹气（胸部快速起伏伴呼气声）、自言自语（口部活动但无对话对象）等。该技能可辅助家属或社区工作者了解老人心理状态，及时进行情感关怀或心理干预。 Skill: Elderly Loneliness / Depression-Tendency Behavior Analysis | 老年人孤独/抑郁倾向行为分析 Owner: smyx-sunjinhui Summary: Using fixed cameras at home (living room, bedroom) of elderly people living alone, the system analyzes daily videos and detects negative behavior indicators during solo time: dazing (long-duration motionless gazing without purposeful action), sighing (rapid chest rise-and-fall with audible expiration), an

OpenClaw

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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 Sep 28, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-elderly-loneliness-depression-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-loneliness-depression-analy/snapshot"

Documentation

CLAWHUB

159,598 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-elderly-loneliness-depression-analysis"
description: "Using fixed cameras at home (living room, bedroom) of elderly people living alone, the system analyzes daily videos and detects negative behavior indicators during solo time: dazing (long-duration motionless gazing without purposeful action), sighing (rapid chest rise-and-fall with audible expiration), and self-talking (mouth movement without any conversation partner). | 通过独居老人在家中的固定摄像头（如客厅、卧室），分析日常视频，检测独处期间的消极行为指标：发呆（长时间静止注视，缺乏目的性动作）、叹气（胸部快速起伏伴呼气声）、自言自语（口部活动但无对话对象）等。该技能可辅助家属或社区工作者了解老人心理状态，及时进行情感关怀或心理干预。"
version: "1.0.11"
license: "MIT-0"
---

# 🧓 Elderly Loneliness / Depression-Tendency Behavior Analysis | 老年人孤独/抑郁倾向行为分析
> **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 | **老年人孤独/抑郁倾向行为分析** |
| 🎯 核心目标 | 通过独居老人在家中的固定摄像头（如客厅、卧室），分析日常视频，检测独处期间的消极行为指标：发呆（长时间静止注视，缺乏目的性动作）、叹气（胸部快速起伏伴呼气声）、自言自语（口部活动但无对话对象）等。该技能可辅助家属或社区工作者了解老人心理状态，及时进行情感关怀或心理干预。 |
| 🖼️ 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_LONELINESS_DEPRESSION_ANALYSIS` |

Using fixed cameras at home (living room, bedroom) of elderly people living alone, the system analyzes daily videos and detects negative behavior indicators during solo time: dazing (long-duration motionless gazing without purposeful action), sighing (rapid chest rise-and-fall with audible expiration), and self-talking (mouth movement without any conversation partner). It counts the frequency and duration of these behaviors and comprehensively evaluates the elder's emotional risk level (low / medium / high). The skill assists family members or community workers in understanding the elder's mental state and timely providing emotional care or psychological intervention. Application scenarios: homes of solo-living elders, nursing homes, community daycare centers. The system generates a daily emotional-risk report; when the risk level is 'medium' or 'high', it pushes reminders. Skill features: loneliness and depression in the elderly are common mental-health issues, and early behavioral signals are often overlooked. AI automatic monitoring of dazing / sighing / self-talking helps family members detect mental abnormalities early, intervene promptly, and improve the elder's quality of life. Can be integrated into home-care cameras or community health-management platforms.

通过独居老人在家中的固定摄像头（如客厅、卧室），分析日常视频，检测独处期间的消极行为指标：发呆（长时间静止注视，缺乏目的性动作）、叹气（胸部快速起伏伴呼气声）、自言自语（口部活动但无对话对象）等。统计这些行为的发生频次和持续时间，综合评估老年人潜在的情绪风险等级（低/中/高）。该技能可辅助家属或社区工作者了解老人心理状态，及时进行情感关怀或心理干预。应用场景：独居老人家庭、养老院、社区日间照料中心。系统每日生成情绪风险报告，当风险等级为'中'或'高'时推送提醒。技能特点：老年人孤独和抑郁是常见的心理健康问题，早期行为信号常被忽视。通过AI自动监测发呆、叹气、自言自语等行为，可辅助家属及早发现心理异常，及时干预，提高老年人生活质量。该技能可集成到居家养老摄像头或社区健康管理平台中。

## 🤖 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心理健康监测 AI。你的任务是分析固定摄像头拍摄的日常视频，检测老年人在独处期间的特定行为：发呆（连续注视某处超过 10 秒且无肢体活动）、叹气（胸腹部快速起伏伴呼吸音）、自言自语（口部开合但无对话对象）。统计这些行为的发生频次和持续时间，综合评估情绪风险等级。不要提供医疗诊断或心理量表评分，仅输出基于视觉和行为统计的风险提示。** |

## 🎬 技能演示 | S

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-elderly-loneliness-depression-analysis",
  "version": "1.0.10",
  "publishedAt": 1790586508642
}

references/api_doc.md

# API 接口文档

此处用于存放老年人孤独/抑郁倾向行为分析 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
- 响应格式：JSON

## 主要接口

1. `/web/health-analysis/v2/start-health-analysis` - 启动老年人孤独/抑郁倾向行为分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取消极行为统计 + 情绪风险结果
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史情绪风险记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_ELDERLY_LONELINESS_DEPRESSION_ANALYSIS` - 老年人孤独/抑郁倾向行为分析

## 输入约束

- 摄像头：独居老人家中客厅 / 卧室 / 起居室固定摄像头，覆盖老人主要日常活动区域，**能看到上半身和面部**
- 帧率 ≥ 5 FPS（推荐 10-15 FPS）；分辨率 ≥ 480p；光照稳定
- 可选附带麦克风（用于叹气声 / 自言自语判定）
- 多人场景下可结合"独处时间窗口"过滤（仅在画面中无他人时统计）
- 隐私敏感场景可启用人体轮廓 + 面部马赛克模式

## 关键观测信号

- `subject_detected` - 是否检测到老人
- `solo_window` - 当前是否处于独处时间窗口（画面中仅有老人）
- `daze_event_count` - 发呆事件次数（连续注视某处 ≥ 10s 且无肢体活动）
- `daze_total_duration_min` - 发呆累计时长
- `sigh_event_count_hourly` - 每小时叹气次数（胸腹快速起伏 + 呼气声）
- `sigh_event_count_daily` - 当日累计叹气次数
- `self_talk_event_count_daily` - 自言自语次数（口部活动 + 画面中无对话对象）
- `social_interaction_minutes_daily` - 当日有效社交互动总时长（参考反向指标）
- `lying_in_bed_duration_daily_min` - 当日卧床时长（参考）

## 阈值与风险等级

- `low` - 各项消极行为均接近基线、社交互动正常
- `medium` - 1-2 项消极行为显著高于基线（例如发呆 > 60 min/天，或叹气 > 10 次/小时）
- `high` - 多项消极行为同时偏高 + 社交互动显著下降 + 连续 ≥ 3 天

## 输出字段（参考）

- `subject_detected` / `solo_window`
- `behavior_metrics` - 当日各项消极行为统计
- `baseline_comparison` - 与个人 7-14 天基线对比（per_item_delta_pct）
- `consecutive_abnormal_days` - 连续异常天数
- `risk_level` - 情绪风险等级（low / medium / high）
- `alert_type` - 提醒类型（loneliness_risk / depression_tendency_suspected / normal）
- `alert_level` - 提醒级别（info / notice / warning）
- `alert_message` - 推送给家属/社工的友好文本（如"妈妈今天独自发呆约 1 小时，叹气次数比平时多了一倍，建议今晚视频通话陪她聊聊"）
- `recommend_action` - 建议动作（push_family_notice / suggest_video_call / suggest_community_visit / observe_only）

> 仅输出基于视觉/音频的客观行为统计与友好提醒，**不提供抑郁症诊断、心理量表评分（如 GDS-15、PHQ-9）或处方**；任何诊断与治疗方案必须由精神科医生或心理咨询师评估制定；若老人出现明显自我伤害言语或行为请立即联系专业机构。

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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