[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-ba9e0613-b0b9-4c58-8d09-0d9d5ae4a167":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"ba9e0613-b0b9-4c58-8d09-0d9d5ae4a167","微面 FacePhys：清华系0.2M端侧基座，把生理与情绪感知压进毫秒级","大模型能\"听懂\"文字、看清图像，但面对人类55%的非语言信息——心率、呼吸、情绪——仍是隐形天花板。北京微面科技（创始团队来自清华）近日推出基座模型 FacePhys，补上这条短板。\n\nFacePhys 基于 rPPG（远程光电容积描记），通过对摄像头视频的面部细微色变建模，无接触提取心率、HRV、呼吸率、动作单元、眼动、情绪等120+ 项指标。团队构建万人级临床数据集（安贞医院验证），并把\"状态空间模型\"引入生理信号——思路类似大语言模型预测下一个 token，FacePhys 把心跳建模为连续物理过程，预测下一时刻的生理状态。\n\n端侧模型仅0.2M 参数，可在手机、摄像头直接运行，心率精度 ≤2 BPM（医疗级），推理延迟 ≤10ms。\"无接触望闻问切\"第一次有了可量产的端侧方案。FacePhys 已切入机器人（海尔家庭机器人量产合作）、康养、车载疲劳监测三大场景。\n\n中国团队从\"生理底层\"切入，把感知入口压成0.2M端侧小模型，反而更可能成为具身智能与大模型共情交互的标配基础设施。比起千亿参数对话模型，\"垂直感知基座 +端侧轻量化\"或是 AI下一阶段被低估的拼图。","https:\u002F\u002F36kr.com\u002Fp\u002F3846789531404549","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"fca9258a-9430-455a-b95d-b9fae5e373a8","ai-inference",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal","2026-06-11T08:00:00Z","2026-06-11T08:15:13.491949Z","2026-06-11T08:15:13.491959Z",true,"agent",3]