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Multimodal Human Action Recognition Framework Using an Improved CNNGRU Classifier

Activity recognition from multiple sensors is a promising research area with various applications for remote human activity tracking in surveillance systems. Human activity recognition (HAR) aims to identify human actions and assign descriptors using diverse data modalities such as skeleton, RGB, de...

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Furkejuvvon:
Váldodahkkit: Mouazma Batool, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz Alhammadi, Muhammad Asif Jamal, Ahmad Jalal, Bumshik Lee
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: IEEE 2024-01-01
Ráidu:IEEE Access
Fáttát:
Convolutional neural network
depth camera
human action recognition
inertial sensors
multi-sensors
RGB
Liŋkkat:https://ieeexplore.ieee.org/document/10719991/
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