Human Centric Attention with Deep Multiscale Feature Fusion Framework for Activity Recognition in Internet of Medical Things-Reference-Cited by-同舟云学术

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Human Centric Attention with Deep Multiscale Feature Fusion Framework for Activity Recognition in Internet of Medical Things

Published:2023-12 Issue: Volume: Page:102211
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Hussain Altaf,Khan Samee Ullah,Rida Imad,Khan Noman,Baik Sung Wook

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference83 articles.

1. FL-FD: Federated learning-based fall detection with multimodal data fusion;Qi;Information Fusion,2023

2. Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things;Islam;Information Fusion,2023

3. Human activity recognition based on multienvironment sensor data;Li;Information Fusion,2023

4. Real-time gait biometrics for surveillance applications: A review;Parashar;Image and Vision Computing,2023

5. Data Preprocessing and Feature Selection Techniques in Gait Recognition: A Comparative Study of Machine Learning and Deep Learning Approaches;Parashar;Pattern Recognition Letters,2023

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1. AI-powered trustable and explainable fall detection system using transfer learning;Image and Vision Computing;2024-09

2. Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides;Information;2024-01-15

3. GNet-FHO: A Light Weight Deep Neural Network for Monitoring Human Health and Activities;IEEE Access;2024

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