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human-emotion-recognition-analysis

Uses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time. Supports emotion intensity quantification and abnormal emotion marking, suitable for human-computer interaction and mental health monitoring. | 人体视觉情绪识别技能,基于正面人脸视觉AI实时识别快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧等多维度情绪状态,支持情绪强度量化与异常情绪标记,适配人机交互、心理健康监测场景

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/18072937735/smyx-human-emotion-recognition-analysis
Or

Visual Emotion Recognition Skill | 人体视觉情绪识别技能

Based on frontal face visual AI technology, this capability recognizes multi-dimensional emotional states in real-time, including happiness, sadness, depression, calmness, anger, surprise, and fear, while supporting emotion intensity quantification and automatic anomaly marking. By analyzing facial expressions, eye dynamics, and micro-expression features, the system achieves high-precision affective understanding. It is applicable to scenarios such as emotional feedback in human-computer interaction and mental health monitoring, assisting in judging changes in user psychological states and providing data support for intelligent intervention and emotional counseling.

本技能基于正面人脸视觉AI技术,实时识别快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧等多维度情绪状态,并支持情绪强度量化与异常情绪自动标记。系统通过分析面部表情、眼部动态及微表情特征,实现高精度情感理解。适用于人机交互中的情感反馈、心理健康监测等场景,辅助判断用户心理状态变化,为智能干预与情绪疏导提供数据支撑。

⚠️ 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
  • 所有历史识别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:通过人脸视频/图片进行多维度情绪识别,获取结构化的情绪识别分析报告
  • 能力包含:多分类情绪识别、情绪强度量化、异常情绪标记、情绪趋势统计
  • 支持识别情绪:快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧七种基础情绪
  • 触发条件:
    1. 默认触发:当用户提供人脸视频/图片 URL 或文件需要进行情绪识别时,默认触发本技能
    2. 当用户明确需要进行情绪识别、心理健康监测,提及情绪识别、情绪分析、心理健康、压力情绪等关键词,并且上传了视频或图片
    3. 当用户提及以下关键词时,自动触发历史报告查询功能 :查看历史识别报告、情绪识别报告清单、识别报告列表、查询历史报告、显示所有识别报告、情绪识别历史记录,查询人体情绪识别分析报告
  • 自动行为:
    1. 如果用户上传了附件或者视频/图片文件,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"查看所有识别报告"、"显示所有情绪报告"、" 查看历史报告"等),必须
      • 直接使用 python -m scripts.human_emotion_recognition_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
    

操作步骤

🔒 open-id 获取流程控制(强制执行,防止遗漏)

在执行情绪识别前,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、emotion123 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(用于保存和查询情绪识别报告记录),并询问是否继续

Metadata

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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-human-emotion-recognition-analysis": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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