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Elderly TV Watching & Sedentary Reminder | 老年人电视观看时长与久坐关联

CLAWHUB · Unverified

Using a fixed camera in the living room (aimed at the sofa and TV area), the system analyzes the elderly person's continuous sitting time while watching TV, detecting whether the body remains in a seated posture and the face is oriented toward the TV area (watching). | 通过客厅固定摄像头（对准沙发和电视区域），分析老年人连续观看电视的坐姿时长，检测人体是否持续处于坐姿且面部朝向电视区域（注视电视）。当连续坐姿观看电视超过预设阈值（默认2小时）且期间未起身活动时，输出'久坐活动提醒'，建议老年人起身走动、做伸展运动。 Skill: Elderly TV Watching & Sedentary Reminder | 老年人电视观看时长与久坐关联 Owner: smyx-sunjinhui Summary: Using a fixed camera in the living room (aimed at the sofa and TV area), the system analyzes the elderly person's continuous sitting time while watching TV, detecting whether the body remains in a seated posture and the face is oriented toward the TV area (watching). | 通过客厅固定摄像头（对准沙发和电视区域），分析老年人连续观看电视的坐姿时长，检测人体是否持续处于坐姿且面部朝

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About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 956 downloads reported by the source. Last updated 10/12/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-elderly-tv-sedentary-reminder-analysis
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. 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-tv-sedentary-reminder-analy/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

83,822 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-elderly-tv-sedentary-reminder-analysis"
description: "Using a fixed camera in the living room (aimed at the sofa and TV area), the system analyzes the elderly person's continuous sitting time while watching TV, detecting whether the body remains in a seated posture and the face is oriented toward the TV area (watching). | 通过客厅固定摄像头（对准沙发和电视区域），分析老年人连续观看电视的坐姿时长，检测人体是否持续处于坐姿且面部朝向电视区域（注视电视）。当连续坐姿观看电视超过预设阈值（默认2小时）且期间未起身活动时，输出'久坐活动提醒'，建议老年人起身走动、做伸展运动。"
version: "1.0.14"
license: "MIT-0"
---

# 📺 Elderly TV Watching & Sedentary Reminder | 老年人电视观看时长与久坐关联
> **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 | **老年人电视观看时长与久坐关联** |
| 🎯 核心目标 | 通过客厅固定摄像头（对准沙发和电视区域），分析老年人连续观看电视的坐姿时长，检测人体是否持续处于坐姿且面部朝向电视区域（注视电视）。当连续坐姿观看电视超过预设阈值（默认2小时）且期间未起身活动时，输出'久坐活动提醒'，建议老年人起身走动、做伸展运动。 |
| 🖼️ 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_TV_SEDENTARY_REMINDER_ANALYSIS` |

Using a fixed camera in the living room (aimed at the sofa and TV area), the system analyzes the elderly person's continuous sitting time while watching TV, detecting whether the body remains in a seated posture and the face is oriented toward the TV area (watching). When continuous TV-watching exceeds a preset threshold (default 2 hours) without standing up, the system outputs a 'time-to-move reminder', suggesting the elderly stand up, walk, and do stretching exercises. The skill helps prevent health issues caused by prolonged sitting, such as muscle atrophy, lower-limb thrombosis, and metabolic disorders. Application scenarios: home-based elderly care, nursing-home activity rooms, community daycare centers. Real-time monitoring; when prolonged sitting is detected, the system pushes via smart speaker or mobile app (e.g., 'Grandpa Zhang, you've been watching TV for 2 hours, please get up and move around'). Skill features: long sedentary TV-watching is a common lifestyle pattern among the elderly and can induce deep-vein thrombosis, lumbar/back pain, etc. AI automatic monitoring and gentle reminders help the elderly form a habit of regular activity and improve their health. Can be integrated into home security cameras or elderly-care service platforms as a practical proactive health-management feature.

通过客厅固定摄像头（对准沙发和电视区域），分析老年人连续观看电视的坐姿时长，检测人体是否持续处于坐姿且面部朝向电视区域（注视电视）。当连续坐姿观看电视超过预设阈值（默认2小时）且期间未起身活动时，输出'久坐活动提醒'，建议老年人起身走动、做伸展运动。该技能有助于预防因长时间静坐导致的肌肉萎缩、下肢血栓、代谢紊乱等健康问题。应用场景：居家养老、养老院活动室、社区日间照料中心。系统实时监测，当久坐超时时通过智能音箱语音提醒或手机APP推送'张爷爷，您已经看了2小时电视，起来活动一下吧'。技能特点：老年人长时间久坐看电视是常见生活方式，易诱发深静脉血栓、腰背疼痛等问题。通过AI自动监测并温馨提醒，可帮助老人养成定时活动习惯，改善健康。该技能可集成到居家安防摄像头或养老服务平台中，成为主动健康管理的实用功能。

## 🤖 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生活方式 AI。你的任务是分析客厅固定摄像头的实时视频，检测老年人是否坐姿在沙发区域，并判断其是否在观看电视（头部朝向电视屏幕）。记录连续坐姿观看的时长，当超过预设阈值（默认 120 分钟）且期间无站立活动时，输出活动提醒。不要提供医疗建议或医学诊断，仅输出基于视觉的行为统计与友好提醒。** |

## 🎬 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

基于客厅固定摄

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-elderly-tv-sedentary-reminder-analysis",
  "version": "1.0.4",
  "publishedAt": 1788453452801
}

references/api_doc.md

# API 接口文档

此处用于存放老年人电视观看时长与久坐关联 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` - 启动老年人电视观看时长与久坐关联分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取观看时长与久坐结果
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史观看记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_ELDERLY_TV_SEDENTARY_REMINDER_ANALYSIS` - 老年人电视观看时长与久坐关联

## 输入约束

- 摄像头：客厅固定摄像头，**画面应同时覆盖沙发区域与电视方向**（侧前方/对角线视角）
- 帧率 ≥ 5 FPS；分辨率 ≥ 480p；光照稳定
- 初次部署可在画面中**框选两个 ROI**：
  - `sofa_region` - 沙发坐姿区域
  - `tv_region` - 电视屏幕区域（用于判断面部朝向）
- 视频时段建议覆盖白天/晚间观看时段
- 隐私敏感场景可启用人体轮廓模式

## 关键观测信号

- `subject_in_sofa` - 老人是否处于沙发坐姿区域
- `posture` - 姿态分类（sitting / standing / lying / leaving）
- `face_orientation_to_tv` - 面部是否朝向 tv_region（true / false / unknown）
- `tv_on_estimate` - 电视画面是否处于"亮"状态（基于 tv_region 亮度变化推断，可选）
- `continuous_tv_watch_duration_min` - 当次连续坐着看电视时长（分钟）
- `stand_up_events_today` - 当日起身次数（离开沙发）
- `total_tv_watch_duration_today_min` - 当日累计电视观看时长（分钟）
- `longest_continuous_session_min` - 当日最长一次连续观看时长

## 默认阈值（可由调用方覆盖）

- 连续观看时长阈值：**120 分钟**（continuous_tv_watch_threshold_min）→ 触发久坐活动提醒
- 起身判定阈值：离开沙发 ≥ 60 秒 → 重置连续观看计时
- 当日累计观看过长阈值：> 360 分钟（6 小时） → 触发"观看总时长偏长"提醒
- 短暂头部转动/取物不算"离开沙发"，需结合姿态变化

## 提醒类型

- `continuous_watch_too_long` - 连续观看时长超阈值（核心久坐提醒）
- `daily_total_watch_too_long` - 当日累计观看时长偏长
- `normal` - 正常

## 输出字段（参考）

- `subject_detected` - 是否检测到老人
- `sofa_region_defined` / `tv_region_defined` - 两个 ROI 是否已定义
- `current_session` - 当次会话指标（continuous_tv_watch_duration_min / posture / face_orientation_to_tv）
- `daily_metrics` - 当日指标（total_tv_watch_duration_today_min / stand_up_events_today / longest_continuous_session_min）
- `alert_type` - 提醒类型
- `alert_level` - 提醒级别（notice / warning）
- `alert_message` - 推送/语音播报文本（如"张爷爷，您已经看了 2 小时电视，起来活动一下吧"）
- `recommend_action` - 建议动作（voice_play_reminder / push_app_notice / suggest_stretch / observe_only）

> 仅输出基于视觉的观看与坐姿行为统计与友好提醒，不提供深静脉血栓 / 腰背疼痛 / 代谢紊乱等医学诊断或处方；如老人有明显腿肿、胸闷等不适请就医。

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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