A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition

AB Sargano, P Angelov, Z Habib - applied sciences, 2017 - mdpi.com
Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …
SJ Upasane, H Hagras, MH Anisi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Industrial maintenance has undergone a paradigm shift due to the emergence of artificial
intelligence (AI), the Internet of things, and cloud computing. Rather than accepting the …

Human activity recognition based on spatial distribution of gradients at sublevels of average energy silhouette images

DK Vishwakarma, K Singh - IEEE Transactions on Cognitive …, 2016 - ieeexplore.ieee.org
The aim of this paper is to present a unified framework for human action and activity
recognition by analysing the effect of computation of spatial distribution of gradients (SDGs) …

E‐Commerce Credit Risk Assessment Based on Fuzzy Neural Network

L Wang, H Song - Computational Intelligence and …, 2022 - Wiley Online Library
In this paper, we propose a cooperative strategy‐based self‐organization mechanism to
reconstruct the network. The mechanism includes a comprehensive evaluation algorithm …

Unsupervised gesture segmentation by motion detection of a real-time data stream

MA Simão, P Neto, O Gibaru - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
Continuous and real-time gesture spotting is a key factor in the development of novel human-
machine interaction modalities. Gesture recognition can be greatly improved with previous …