
The author introduces P2LHAP, a novel Patch-to-Label Seq2Seq framework that efficiently tackles human activity recognition, segmentation, and forecasting tasks in a single-task model.


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p2lhap-wearable-sensor-based-human-activity-recognition-segmentation-and-forecasting


P2LHAP: Wearable Sensor-Based Human Activity Recognition, Segmentation, and Forecasting


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提案されたP2LHAPモデルは、センサーデータを活用して人間の活動を認識し、セグメンテーションし、予測するための革新的なアプローチを提供します。


p2lhap-wearable-sensor-based-human-activity-recognition-segmentation-and-forecast


P2LHAP: Wearable Sensor-Based Human Activity Recognition, Segmentation, and Forecast
