Child Focus / Distraction Period Analysis | 儿童专注度与走神时段分析
Using the camera built into a smart desk lamp or a tabletop camera, the system analyzes video of the child's study area in real time, detecting behavioral indicators such as face orientation (whether it deviates from the book/screen), eye gaze direction, and fidgeting hand actions (playing with a pen, touching the face, fiddling with objects), and computes a per-minute focus score (0-100) while recording distraction periods. The skill helps parents and teachers understand the child's learning state and optimize study habits. Application scenarios: smart study lamps, home study rooms, classrooms. The system monitors in real time, generates focus reports, and pushes alerts when focus stays persistently low. Skill features: improve learning efficiency. | 通过智能台灯内置摄像头或桌面摄像头,实时分析儿童学习区域的视频,检测面部朝向(是否偏离书本/屏幕)、眼部注视方向、手部小动作(玩笔、摸脸、摆弄物品)等行为指标,计算每分钟专注得分(0-100分),并记录走神时段。该技能可帮助家长和教师了解儿童学习状态,优化学习习惯。应用场景:智能学习台灯、家庭书房、教室。系统实时监测,生成专注度报告,当专注度持续偏低时推送提醒。技能特点:提升学习效率。
Rank
62
Safety
84
Downloads
1.8k
Updated
Oct 10, 2026
Version
1.0.12
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
- 1.0.12release · observed Oct 1, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-child-focus-analysis-analysis- Install using `clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-child-focus-analysis-analysis` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/smyx-sunjinhui/smyx-child-focus-analysis-analysis before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-child-focus-analysis-analysis/snapshot"
Documentation
CLAWHUB
145,721 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "smyx-child-focus-analysis-analysis" description: "Using the camera built into a smart desk lamp or a tabletop camera, the system analyzes video of the child's study area in real time, detecting behavioral indicators such as face orientation (whether it deviates from the book/screen), eye gaze direction, and fidgeting hand actions (playing with a pen, touching the face, fiddling with objects), and computes a per-minute focus score (0-100) while recording distraction periods. The skill helps parents and teachers understand the child's learning state and optimize study habits. Application scenarios: smart study lamps, home study rooms, classrooms. The system monitors in real time, generates focus reports, and pushes alerts when focus stays persistently low. Skill features: improve learning efficiency. | 通过智能台灯内置摄像头或桌面摄像头,实时分析儿童学习区域的视频,检测面部朝向(是否偏离书本/屏幕)、眼部注视方向、手部小动作(玩笔、摸脸、摆弄物品)等行为指标,计算每分钟专注得分(0-100分),并记录走神时段。该技能可帮助家长和教师了解儿童学习状态,优化学习习惯。应用场景:智能学习台灯、家庭书房、教室。系统实时监测,生成专注度报告,当专注度持续偏低时推送提醒。技能特点:提升学习效率。" version: "1.0.18" license: "MIT-0" --- # 🎯 Child Focus / Distraction Period Analysis | 儿童专注度与走神时段分析 > **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 | **儿童专注度与走神时段分析** | | 🎯 核心目标 | 通过智能台灯内置摄像头或桌面摄像头,实时分析儿童学习区域的视频,检测面部朝向(是否偏离书本/屏幕)、眼部注视方向、手部小动作(玩笔、摸脸、摆弄物品)等行为指标,计算每分钟专注得分(0-100分),并记录走神时段。该技能可帮助家长和教师了解儿童学习状态,优化学习习惯。应用场景:智能学习台灯、家庭书房、教室。系统实时监测,生成专注度报告,当专注度持续偏低时推送提醒。技能特点:提升学习效率。 | | 🖼️ 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_CHILD_FOCUS_ANALYSIS_ANALYSIS` | Using the camera built into a smart desk lamp or a tabletop camera, the system analyzes video of the child's study area in real time, detecting behavioral indicators such as face orientation (whether it deviates from the book/screen), eye gaze direction, and fidgeting hand actions (playing with a pen, touching the face, fiddling with objects), and computes a per-minute focus score (0-100) while recording distraction periods. The skill helps parents and teachers understand the child's learning state and optimize study habits. Application scenarios: smart study lamps, home study rooms, classrooms. The system monitors in real time, generates focus reports, and pushes alerts when focus stays persistently low. Skill features: improve learning efficiency. 通过智能台灯内置摄像头或桌面摄像头,实时分析儿童学习区域的视频,检测面部朝向(是否偏离书本/屏幕)、眼部注视方向、手部小动作(玩笔、摸脸、摆弄物品)等行为指标,计算每分钟专注得分(0-100分),并记录走神时段。该技能可帮助家长和教师了解儿童学习状态,优化学习习惯。应用场景:智能学习台灯、家庭书房、教室。系统实时监测,生成专注度报告,当专注度持续偏低时推送提醒。技能特点:提升学习效率。 ## 🤖 AI 角色 | AI Role | 角色要点 | 说明 | |---|---| | 说明 1 | **假设你是一个专业的儿童学习行为分析 AI。你的任务是分析桌面学习区域固定摄像头的实时视频,检测儿童的面部朝向、视线方向以及手部小动作,计算每分钟的专注得分。不要提供教学建议或学习方案,仅输出基于视觉的专注度指标与走神事件统计。** | ## 🎬 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 基于智能台灯/桌面摄像头视频,量化儿童每分钟专注得分并标注走神时段,输出整体专注度等级 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 儿童面部检测 | | 2 | 面部朝向估计(是否对准书本/屏幕) | | 3 | 视线方向估计 | | 4 | 手部小动作识别(玩笔 / 摸脸 /
_meta.json
{
"ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
"slug": "smyx-child-focus-analysis-analysis",
"version": "1.0.12",
"publishedAt": 1790855367141
}references/api_doc.md
# API 接口文档
此处用于存放儿童专注度与走神时段分析 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` - 启动儿童专注度分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果(专注得分 + 走神时段)
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史专注度记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告
## 场景代码
- `SMYX_CHILD_FOCUS_ANALYSIS_ANALYSIS` - 儿童专注度与走神时段分析
## 输入约束
- 摄像头建议为智能台灯内置摄像头或桌面摄像头,正对儿童面部 + 书本/屏幕区域
- 视频时长可短可长,按整段或每分钟切片输出
- 帧率建议 ≥ 15 FPS;光照均匀
## 关键观测指标
- 面部朝向(face_orientation):是否偏离书本/屏幕
- 视线方向(gaze_direction):是否注视学习区域
- 头部抬起/低下频次
- 手部小动作(玩笔 / 摸脸 / 摆弄物品 / 玩手机)
- 是否离开座位
## 专注得分(每分钟,0-100)
- 视线在学习区域比例(gaze_on_task_ratio)
- 面部朝向稳定度(face_stability)
- 手部小动作频次(罚分项)
- 离座时长(罚分项)
## 走神/分心事件类型
- `gaze_away` - 视线长时间偏离
- `head_lift` - 频繁抬头/转头
- `hand_fidget` - 玩笔/摸脸等小动作
- `off_seat` - 离开座位
- `phone_use` - 玩手机/平板
## 输出字段(参考)
- `child_detected` - 是否检测到儿童
- `session_duration_min` - 当次会话时长(分钟)
- `focus_score_overall` - 整体专注度(0-100)
- `focus_score_per_minute` - 每分钟专注得分序列
- `distraction_events` - 走神事件列表(类型 + 起止时间 + 持续秒数)
- `total_distraction_min` - 累计走神分钟数
- `focus_grade` - 整体等级(excellent / good / fair / poor)
- `alert_message` - 持续专注度偏低时的提醒(如"近 10 分钟专注度持续低于 40 分,建议短暂休息")
> 仅输出基于视觉的专注度客观指标与走神事件统计,不提供教学建议或学习方案。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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