Robust Human Activity Recognition Using Multimodal Feature-Level Fusion

Robust Human Activity Recognition Using Multimodal Feature-Level Fusion

Automated recognition of human activities or actions has great significance as it incorporates wide-ranging applications, including surveillance, robotics, and personal health monitoring. Over the past few years, many computer vision-based methods have been developed for recognizing human actions fr...

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Bibliographic Details
Main Authors: Muhammad Ehatisham-Ul-Haq, Ali Javed, Muhammad Awais Azam, Hafiz M. A. Malik, Aun Irtaza, Ik Hyun Lee, Muhammad Tariq Mahmood
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Dense HOG
depth sensor
feature-level fusion
human action recognition
inertial sensor
RGB camera
Online Access:https://ieeexplore.ieee.org/document/8701429/

Internet

https://ieeexplore.ieee.org/document/8701429/

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