PAMAP-2

The PAMAP-2 dataset is a benchmark that contains data from various physical activities collected using multiple sensors, and it is used to evaluate algorithms for activity recognition and classification in the context of wearable computing.

Papers using PAMAP-2 (5)

RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge2026FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems2026Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT2025MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare2022 · 7 citesPersonalized Federated Learning with Adaptive Batchnorm for Healthcare2021