H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3117909
Abstract: Recognizing human activities is considered a vital research challenge because of its essential significance for improving human–machine collaboration in the Internet of Things environments. The present deep learning (DL) literature focused on studying human activities… read more here.
Keywords: information; state information; channel state; human human ... See more keywords
Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning
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DOI: 10.3390/ijerph16203955
Abstract: The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields.… read more here.
Keywords: activity; deep learning; model; recognizing human ... See more keywords