Connecting reality and virtuality with Human Machine Interface (HMI)

This thesis explores the development and application of machine learning models to predict hand gestures using electromyography (EMG) data. The primary focus is on leveraging a convolutional neural network (CNN) for detecting and analyzing hand gestures based on electrical signals from muscle contra...

Full description

Autores:
Bastidas Peralta, Luciano
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/74984
Acceso en línea:
https://hdl.handle.net/1992/74984
Palabra clave:
HMI
EMG
Human machine interface
Electromyography
Machine learning
Deep Learning
Electrodes
Ingeniería
Rights
openAccess
License
Attribution 4.0 International