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Somatic AI · 映身智能

Human Body Tokenizer for AGI
Making the human body readable for AI.

Website · GitHub · r/SomaticAI · contact@somaticai.io

We are building **Soma**, a foundation model for continuous physiological signals from wrist wearables. During training, sports video, audio, metabolic-chamber and lab measurements label the wristband's raw streams: PPG, accelerometer and skin temperature. At inference, the model needs only the wristband. Our models will be published here. ## First release: Soma-ACC (coming soon) A cross-device wrist accelerometer model. Every 30 seconds, it tells what a person is doing and whether they are asleep, from wrist motion alone. No camera, no microphone. | | | |---|---| | **Input** | Raw 3-axis wrist accelerometer data from any device. The model does not need to know which device. | | **Output** | Every 30 seconds: an activity label scored against text descriptions of activities, plus a sleep probability. | | **Training data** | Public datasets only. Every dataset is credited in the model card. | | **Evaluation** | On people held out from training, with the device treated as unknown. | ## Principles - **Public data, credited.** Every dataset we train on is named and credited in the model card. - **Held-out people, unknown devices.** We report results on people the model never saw, with device identity hidden at test time. - **Models produce the numbers; language models phrase them.** LLMs never generate physiological values. - **Wellness and research, not medicine.** Our models are not medical devices and are not intended to diagnose, treat or prevent any disease. ## Related - **[SomaLoop](https://somaticai.io/en/somaloop/)**: a screenless research wristband that streams raw PPG and accelerometer data. Have reference measurements, such as sports video, metabolic-chamber data or lab tests? Let's pair them with continuous wrist signals: [contact@somaticai.io](mailto:contact@somaticai.io)