Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects

2 February 2022

Papers citing "Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects"

4 / 4 papers shown

Title
MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition Stefan Gerd Fritsch Cennet Oğuz Vitor Fortes Rey L. Ray Maximilian Kiefer-Emmanouilidis P. Lukowicz HAI 38 0 0 06 Jun 2024
MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation Ehsan Asali Prashant Doshi Jin Sun 13 1 0 14 Nov 2023
Advancements In Crowd-Monitoring System: A Comprehensive Analysis of Systematic Approaches and Automation Algorithms: State-of-The-Art Mohammed Ameen Richard Stone 9 3 0 07 Aug 2023
Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark Reem Abdel-Salam Rana Mostafa Mayada Hadhood 20 32 0 05 Jan 2021