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ENTITY TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition

TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition

PulseAugur coverage of TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition — every cluster mentioning TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_193563 ·

    LITEWAY framework offers lightweight, efficient human activity recognition

    Researchers have developed LITEWAY, a novel framework for human activity recognition (HAR) using wearable sensors. This modality-agnostic, fully convolutional approach aims to overcome the computational and energy limit…