Advancements in Human Action Recognition and Posture

EasyChair Preprint no. 11037

Abstract

The fields of human action recognition and posture prediction have experienced significant growth and garnered substantial interest within the computer vision community. These domains are integral to enabling intelligent interactions, fostering human-computer cooperation, and enhancing machine perception of the surrounding environment. Over the past decade, remarkable strides have been made, primarily propelled by the emergence of deep learning technologies. This paper offers a comprehensive review of the latest advancements in these domains. We commence by providing the context and subsequently delve into the notable research progress that has fundamentally shaped human action recognition and posture prediction.

Keyphrases: Body pose estimation, gesture recognition, human-machine collaboration, interactive computing, visual perception

@Booklet{EasyChair:11037,
  author = {Srividya Mallu},
  title = {Advancements in Human Action Recognition and Posture},
  howpublished = {EasyChair Preprint no. 11037},

  year = {EasyChair, 2023}}