Human Action Recognition Systems: A Review of the Trends and State-of-the-Art-Reference-Cited by-同舟云学术

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Human Action Recognition Systems: A Review of the Trends and State-of-the-Art

Published:2024 Issue: Volume:12 Page:36372-36390
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Karim Misha¹,Khalid Shah¹^ORCID,Aleryani Aliya²^ORCID,Khan Jawad³^ORCID,Ullah Irfan⁴^ORCID,Ali Zafar⁵^ORCID

Affiliation:

1. Department of Computing, National University of Sciences and Technology (NUST), Islamabad, Pakistan

2. College of Computer Science, King Khalid University, Abha, Saudi Arabia

3. Department of AI Software, Gachon University, Seongnam-si, South Korea

4. Department of Computer Science, Shaheed Benazir Bhutto University, Sheringal, Pakistan

5. School of Computer Science and Engineering, Southeast University, Nanjing, China

Funder

Deanship of Scientific Research at King Khalid University for funding this work through Small Groups

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10459026.pdf?arnumber=10459026

Reference135 articles.

1. Machine Recognition of Human Activities: A Survey

2. Exploring methods and systems for vision based human activity recognition

3. Deep learning for time series classification: a review

4. A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort

5. Deep learning for sensor-based activity recognition: A survey

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1. CorMatcher: A corners-guided graph neural network for local feature matching;Expert Systems with Applications;2024-12

2. From Seeing to Recognising–An Extended Self-Organizing Map for Human Postures Identification;IEEE Robotics and Automation Letters;2024-09

3. Human activity recognition: A comprehensive review;Expert Systems;2024-07-27

4. Streaming Processing for ADL Monitoring in Smart Home Environments;IEEE Access;2024

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