162 models · 4 families
Model families
Browse wearable foundation models by what they do: signal encoders, multimodal models, sensor–language models and forecasting models for PPG, ECG and IMU. Each family page lists its models, the benchmarks they report on and the datasets they use. Prefer a table? Filter the full catalog.
Four ways to learn from signals
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0143 modelsSignal encodersEncode a waveform into features for downstream tasks.Explore models0222 modelsMultimodalLearn relationships across pulse, heart and motion signals.Explore models0316 modelsSensor–languageAlign recordings with text for retrieval or interpretation.Explore models042 modelsForecastingUse past measurements to estimate what may come next.Explore models
Conceptual diagrams, not model architectures. One primary role per record; families can overlap.
Other / unclassified 79