contactless-health-risk-detection-analysis
Combines frontal facial image capture with multimodal physiological feature analysis to provide early risk screening and alerts for chronic and acute conditions such as heart attack, stroke, hypertension, and hyperlipidemia. | 非接触式健康风险识别技能,通过正面人像采集结合多模态生理特征分析,提供心梗、脑梗、高血压、高血脂等慢病急症早期风险筛查预警
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/18072937735/smyx-contactless-health-risk-detection-analysisContactless Health Risk Screening Tool | 非接触式健康风险检测分析工具
By capturing frontal facial images and analyzing multimodal physiological signals—including micro-expressions, skin color variations, and eye movement patterns—this capability comprehensively assesses early risks of chronic and acute conditions such as heart attacks, strokes, hypertension, and hyperlipidemia. Leveraging non-contact imaging technology, the system extracts vital metrics like blood oxygen levels and heart rate variability (HRV), utilizing AI models to facilitate rapid daily screening. Upon identifying high-risk characteristics, it triggers immediate alerts, making it ideal for homes, communities, and elderly care facilities to support chronic disease management and acute condition prevention.
本技能通过正面人像采集,结合面部微表情、肤色变化、眼动特征等多模态生理信号分析,综合评估心梗、脑梗、高血压、高血脂等慢病及急症的早期风险。系统利用非接触式成像技术,提取血氧、心率变异性等生理指标,结合AI模型实现日常快速筛查。一旦识别高风险特征,即发出预警提示,适用于家庭、社区及养老机构等场景,助力慢病管理与急症预防。
演示案例
⚠️ 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.md、MEMORY.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:通过正面人像视频/图片,非接触式进行早期健康风险筛查
- 能力包含:多模态生理特征提取、慢病风险评估、急症预警提示
- 支持筛查风险:
- 急性高危:心梗、脑梗早期风险预警
- 慢性慢病:高血压、高血脂、高血糖
- 神经退行性:阿尔茨海默症(老年痴呆)早期风险
- 技术原理:基于面部影像特征提取生理相关信息,进行风险概率评估
- 重要定位:仅作早期风险筛查提示,不替代专业医疗诊断
- 触发条件:
- 默认触发:当用户提供正面人像需要进行非接触健康风险筛查时,默认触发本技能
- 当用户明确需要健康风险筛查、非接触检测时,提及健康筛查、心梗脑梗预警、高血压筛查、慢病风险等关键词,并且上传了正面人像照片/视频
- 当用户提及以下关键词时,自动触发历史报告查询功能 :查看历史筛查报告、健康风险报告清单、筛查报告列表、查询历史筛查报告、显示所有筛查报告、健康风险分析报告,查询非接触健康风险识别分析报告
- 自动行为:
- 如果用户上传了附件或者照片/视频文件,则自动保存到技能目录下 attachments
- ⚠️ 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"查看所有筛查报告"、"显示所有风险报告"、"
查看历史报告"等),必须:
- 直接使用
python -m scripts.contactless_health_risk_detection_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
- 直接使用
前置准备
- 依赖说明:scripts 脚本所需的依赖包及版本
requests>=2.28.0
采集要求(获得准确结果的前提)
为了获得较准确的风险评估,请确保:
- 正面完整面部,正对摄像头,距离 30-50 厘米
- 光线充足均匀,避免强光直射和大面积阴影
- 素颜最佳,避免浓妆、口罩、帽子、墨镜遮挡
- 推荐采集:10-30 秒短视频,静态图片也支持分析
操作步骤
🔒 open-id 获取流程控制(强制执行,防止遗漏)
在执行非接触健康风险识别分析前,必须按以下优先级顺序获取 open-id:
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-18072937735-smyx-contactless-health-risk-detection-analysis": {
"enabled": true,
"auto_update": true
}
}
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