Human Activities Recognition using Semi-Supervised SVM and Hidden Markov Models

Human Activities Recognition using Semi-Supervised SVM and Hidden Markov Models

Automatic human activity recognition is an area of interest for developing health, security, and sports applications. Currently, it is necessary to develop methods that facilitate the training process and reduce the costs of this process. This paper explores a methodology to classify human physical...

Full description

Bibliographic Details
Main Authors: Santiago Morales García, Carlos Henao Baena, Andrés Calvo Salcedo
Format: Article
Language:English
Published: Instituto Tecnológico Metropolitano 2022-12-01
Series:TecnoLógicas
Subjects:
spectral clustering
semi-supervised learning
motion estimation
data fusion
human activity recognition
Online Access:https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2474

Internet

https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2474

Similar Items