Radio-frequency (RF) sensing for deep awareness of human physical status - part II

Radio-frequency (RF) sensing for deep awareness of human physical status - part II

The application of radar signal processing techniques, specifically with ultra-wideband (UWB) radar is investigated in this study. The intention is to non-invasively detect and classify human emotions using UWB radar. Features related to breathing and heart rate are extracted from the signal. Mac...

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Main Author: Kng, Yew Chian
Other Authors: Luo Jun
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Machine learning
Radar
Online Access:https://hdl.handle.net/10356/175289
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1752892024-04-26T15:44:34Z Radio-frequency (RF) sensing for deep awareness of human physical status - part II Kng, Yew Chian Luo Jun School of Computer Science and Engineering junluo@ntu.edu.sg Computer and Information Science Machine learning Radar The application of radar signal processing techniques, specifically with ultra-wideband (UWB) radar is investigated in this study. The intention is to non-invasively detect and classify human emotions using UWB radar. Features related to breathing and heart rate are extracted from the signal. Machine learning techniques are then applied to classify between emotions defined by the arousal-valence theory. The dataset was created by exposing subjects to different videos meant to incite different responses while being monitored by a UWB radar. Bachelor's degree 2024-04-23T06:18:26Z 2024-04-23T06:18:26Z 2024 Final Year Project (FYP) Kng, Y. C. (2024). Radio-frequency (RF) sensing for deep awareness of human physical status - part II. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175289 https://hdl.handle.net/10356/175289 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Machine learning
Radar
spellingShingle Computer and Information Science
Machine learning
Radar
Kng, Yew Chian
Radio-frequency (RF) sensing for deep awareness of human physical status - part II
description The application of radar signal processing techniques, specifically with ultra-wideband (UWB) radar is investigated in this study. The intention is to non-invasively detect and classify human emotions using UWB radar. Features related to breathing and heart rate are extracted from the signal. Machine learning techniques are then applied to classify between emotions defined by the arousal-valence theory. The dataset was created by exposing subjects to different videos meant to incite different responses while being monitored by a UWB radar.
author2 Luo Jun
author_facet Luo Jun
Kng, Yew Chian
format Final Year Project
author Kng, Yew Chian
author_sort Kng, Yew Chian
title Radio-frequency (RF) sensing for deep awareness of human physical status - part II
title_short Radio-frequency (RF) sensing for deep awareness of human physical status - part II
title_full Radio-frequency (RF) sensing for deep awareness of human physical status - part II
title_fullStr Radio-frequency (RF) sensing for deep awareness of human physical status - part II
title_full_unstemmed Radio-frequency (RF) sensing for deep awareness of human physical status - part II
title_sort radio-frequency (rf) sensing for deep awareness of human physical status - part ii
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175289
_version_ 1800916097896022016

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