Deep learning network for NAO robot applications

Deep learning network for NAO robot applications

Deep Learning is a subset of machine learning. With deep learning, it is possible to ‘learn’ and make ‘informed choices’ based on the data it has analysed. With the addition of deep learning to eye trackers, it is possible for the device to understand the user’s habits and improve the prediction of...

Full description

Saved in:
Bibliographic Details
Main Author: Leong, Jing Kai
Other Authors: Qing Song
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/140207
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:Deep Learning is a subset of machine learning. With deep learning, it is possible to ‘learn’ and make ‘informed choices’ based on the data it has analysed. With the addition of deep learning to eye trackers, it is possible for the device to understand the user’s habits and improve the prediction of the output. In this project, deep learning algorithm is applied to identify rehabilitation exercised performed. The software component will be developed using Pytorch, an open source machine library based on python. For deep learning, a Convolution Neural Network (RNN) is used as it is often used in image classification.

Similar Items