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...
- 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