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Google 发布 SensorFM：面向可穿戴健康数据的基础模型
原标题：SensorFM: Towards a general intelligence and interface for wearable health data
AI 摘要
Google Research 发布了 SensorFM，这是一个基于超过一万亿分钟、来自五百万人可穿戴传感器数据预训练的基础模型。该模型通过自监督学习，能够迁移到 35 项健康预测任务，并支持标签高效适配和数据填充。实验表明，模型规模和数据量的同步扩展带来了性能提升，SensorFM-B 在 33/35 项任务上表现最佳。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
July 9, 2026 Xin Liu, Senior Research Scientist, and Daniel McDuff, Staff Research Scientist, Google Research We present SensorFM, a foundation model for wearable health pre-trained on more than one trillion minutes of sensor data from five million people. By co-scaling model size and data, SensorFM learns a general-purpose representation of human physiology that transfers to 35 health prediction tasks, supports label-efficient adaptation and data infilling, and can serve as a grounding tool for
发布时间：2026-07-09 17:56
抓取时间：2026-08-02 00:25
来源机构：Google Research