Memory structure for multi-modal data streams
Nowadays humanoid have a variety of application, in the field of medical it has a significant role, humanoids are used for testing purposes of various treatments. In our project the humanoid is working as a schizophrenia patient on which a psychiatrist will be trained to handle schizophrenic pati...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/136991 |
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author | Ghadge, Rachana Mohan |
author2 | Justin Dauwels |
author_facet | Justin Dauwels Ghadge, Rachana Mohan |
author_sort | Ghadge, Rachana Mohan |
collection | NTU |
description | Nowadays humanoid have a variety of application, in the field of medical it has a
significant role, humanoids are used for testing purposes of various treatments. In our
project the humanoid is working as a schizophrenia patient on which a psychiatrist
will be trained to handle schizophrenic patient. But the main part for any robot to
behave like a humanoid is memory, it should be able remember things and then act
likewise. In this project, a memory modal is built to store the data. A database is made
where different kind of data like audio, images, text, emotions, skelton data is stored
in a table like structure. Also, data analytics is performed on the data which is received
from various sources of data like microphone, camera, affectiva and Kinect
respectively. And when the same person appears in front of the Nadine, data is
retrieved from the tables and then accordingly she is able to respond. In this way the
power of remembrance is implement in the brain of the humanoid. |
first_indexed | 2024-10-01T05:51:11Z |
format | Thesis-Master by Coursework |
id | ntu-10356/136991 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:51:11Z |
publishDate | 2020 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1369912023-07-04T16:42:55Z Memory structure for multi-modal data streams Ghadge, Rachana Mohan Justin Dauwels School of Electrical and Electronic Engineering Research Techno Plaza JDAUWELS@ntu.edu.sg Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Nowadays humanoid have a variety of application, in the field of medical it has a significant role, humanoids are used for testing purposes of various treatments. In our project the humanoid is working as a schizophrenia patient on which a psychiatrist will be trained to handle schizophrenic patient. But the main part for any robot to behave like a humanoid is memory, it should be able remember things and then act likewise. In this project, a memory modal is built to store the data. A database is made where different kind of data like audio, images, text, emotions, skelton data is stored in a table like structure. Also, data analytics is performed on the data which is received from various sources of data like microphone, camera, affectiva and Kinect respectively. And when the same person appears in front of the Nadine, data is retrieved from the tables and then accordingly she is able to respond. In this way the power of remembrance is implement in the brain of the humanoid. Master of Science (Computer Control and Automation) 2020-02-10T08:12:20Z 2020-02-10T08:12:20Z 2019 Thesis-Master by Coursework https://hdl.handle.net/10356/136991 en application/pdf Nanyang Technological University |
spellingShingle | Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Ghadge, Rachana Mohan Memory structure for multi-modal data streams |
title | Memory structure for multi-modal data streams |
title_full | Memory structure for multi-modal data streams |
title_fullStr | Memory structure for multi-modal data streams |
title_full_unstemmed | Memory structure for multi-modal data streams |
title_short | Memory structure for multi-modal data streams |
title_sort | memory structure for multi modal data streams |
topic | Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics |
url | https://hdl.handle.net/10356/136991 |
work_keys_str_mv | AT ghadgerachanamohan memorystructureformultimodaldatastreams |