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Author

Donggyun Lee

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Open access Sep 2026

Deployment-Oriented Evaluation of Lightweight IMU-Based Human Activity Recognition: On-Device Efficiency and Streaming Feasibility

Lightweight Human Activity Recognition (L-HAR), a controlled comparison of Baseline and Lightweight Temporal Convolutional Network, Transformer, and Long Short-Term Memory models using data sampled at 100Hz from three inertial measurement units (IMUs) worn by one participant is presented.

Inho Gil, Seongmin Ha, Jihwan Oh et al. · 0 citations

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