scholarly journals A Novel Action Recognition Framework Based on Deep-Learning and Genetic Algorithms

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 100631-100644 ◽  
Author(s):  
Abdullah Asim Yilmaz ◽  
Mehmet Serdar Guzel ◽  
Erkan Bostanci ◽  
Iman Askerzade
Keyword(s):  
Genetic Algorithms ◽  
Deep Learning ◽  
Action Recognition

Deep Learning for Human Action Recognition Survey

2018 ◽  
Vol 6 (10) ◽  
pp. 323-328
Author(s):  
K.Kiruba . ◽  
D. Shiloah Elizabeth ◽  
C Sunil Retmin Raj
Keyword(s):  
Deep Learning ◽  
Action Recognition ◽  
Human Action Recognition ◽  
Human Action

Recognizing arabic handwritten characters using deep learning and genetic algorithms

2021 ◽  
Author(s):  
Hossam Magdy Balaha ◽  
Hesham Arafat Ali ◽  
Esraa Khaled Youssef ◽  
Asmaa Elsayed Elsayed ◽  
Reem Adel Samak ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Deep Learning

scholarly journals Deep Learning Techniques for Dragonfly Action Recognition

2020 ◽  
Author(s):  
Martina Monaci ◽  
Niccolò Pancino ◽  
Paolo Andreini ◽  
Simone Bonechi ◽  
Pietro Bongini ◽  
...  
Keyword(s):  
Deep Learning ◽  
Action Recognition ◽  
Learning Techniques

scholarly journals Study on Machine Learning and Deep Learning Methods for Human Action Recognition

2020 ◽  
Author(s):  
Gopika Rajendran ◽  
Ojus Thomas Lee ◽  
Arya Gopi ◽  
Jais jose ◽  
Neha Gautham
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Action Recognition ◽  
Human Body ◽  
Human Performance ◽  
Human Action Recognition ◽  
Human Action ◽  
Human Robot Interaction ◽  
Learning Approach ◽  
Action Sequence

With the evolution of computing technology in many application like human robot interaction, human computer interaction and health-care system, 3D human body models and their dynamic motions has gained popularity. Human performance accompanies human body shapes and their relative motions. Research on human activity recognition is structured around how the complex movement of a human body is identified and analyzed. Vision based action recognition from video is such kind of tasks where actions are inferred by observing the complete set of action sequence performed by human. Many techniques have been revised over the recent decades in order to develop a robust as well as effective framework for action recognition. In this survey, we summarize recent advances in human action recognition, namely the machine learning approach, deep learning approach and evaluation of these approaches.

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