Improving emotional well-being through nature
Nature may be used as a treatment method for patients with mental disorders which has yet to be implemented despite numerous evidence showing that being in touch with nature links to increased happiness, positive affect, positive social interactions, and a sense of meaning and purpose in life, as we...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Persatuan Saintis Muslim Malaysia
2022
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/103475/2/103475_Improving%20emotional%20well-being%20through%20nature.pdf http://irep.iium.edu.my/103475/ https://perintis.org.my/ejournalperintis/index.php/PeJ/article/view/132 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English |
id |
my.iium.irep.103475 |
---|---|
record_format |
dspace |
spelling |
my.iium.irep.1034752023-01-30T07:12:52Z http://irep.iium.edu.my/103475/ Improving emotional well-being through nature Amir Hamzah, Ikhwan Nik Hashim, Nik Nur Wahidah Ahmad Basri, Nadzirah BF Psychology QC Physics Nature may be used as a treatment method for patients with mental disorders which has yet to be implemented despite numerous evidence showing that being in touch with nature links to increased happiness, positive affect, positive social interactions, and a sense of meaning and purpose in life, as well as reduced mental distress. This project focuses on demonstrating the benefits of nature towards improving emotional well-being of people based on the detection of Electrodermal Activity (EDA). EDA signals will be collected from the controlled and experimental participants for the identification of nature’s positive impact towards participants’ mental well-being. Raw signals will require pre-processing and feature extraction which will use an open-source Python toolkit called PyEDA. The project will also incorporate machine learning for EDA signal classification which also utilizes python open-source software. The results will be observed and studied based on its accuracy in classifying the EDA signals between the controlled and experimental conditions. This project will be heading towards improving mental health treatment by proving that incorporating the world’s most abundant resources, nature together with the incorporation of biosensors for mental health detection will help close the gap between mental health patients and clinicians. Persatuan Saintis Muslim Malaysia 2022-12-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/103475/2/103475_Improving%20emotional%20well-being%20through%20nature.pdf Amir Hamzah, Ikhwan and Nik Hashim, Nik Nur Wahidah and Ahmad Basri, Nadzirah (2022) Improving emotional well-being through nature. Perintis E-Journal, 12 (2). pp. 108-129. ISSN 2232−0725 https://perintis.org.my/ejournalperintis/index.php/PeJ/article/view/132 |
institution |
Universiti Islam Antarabangsa Malaysia |
building |
IIUM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
International Islamic University Malaysia |
content_source |
IIUM Repository (IREP) |
url_provider |
http://irep.iium.edu.my/ |
language |
English |
topic |
BF Psychology QC Physics |
spellingShingle |
BF Psychology QC Physics Amir Hamzah, Ikhwan Nik Hashim, Nik Nur Wahidah Ahmad Basri, Nadzirah Improving emotional well-being through nature |
description |
Nature may be used as a treatment method for patients with mental disorders which has yet to be implemented despite numerous evidence showing that being in touch with nature links to increased happiness, positive affect, positive social interactions, and a sense of meaning and purpose in life, as well as reduced mental distress. This project focuses on demonstrating the benefits of nature towards improving emotional well-being of people based on the detection of Electrodermal Activity (EDA). EDA signals will be collected from the controlled and experimental participants for the identification of nature’s positive impact towards participants’ mental well-being. Raw signals will require pre-processing and feature extraction which will use an open-source Python toolkit called PyEDA. The project will also incorporate machine learning for EDA signal classification which also utilizes python open-source software. The results will be observed and studied based on its accuracy in classifying the EDA signals between the controlled and experimental conditions. This project will be heading towards improving mental health treatment by proving that incorporating the world’s most abundant resources, nature together with the incorporation of biosensors for mental health detection will help close the gap between mental health patients and clinicians. |
format |
Article |
author |
Amir Hamzah, Ikhwan Nik Hashim, Nik Nur Wahidah Ahmad Basri, Nadzirah |
author_facet |
Amir Hamzah, Ikhwan Nik Hashim, Nik Nur Wahidah Ahmad Basri, Nadzirah |
author_sort |
Amir Hamzah, Ikhwan |
title |
Improving emotional well-being through nature |
title_short |
Improving emotional well-being through nature |
title_full |
Improving emotional well-being through nature |
title_fullStr |
Improving emotional well-being through nature |
title_full_unstemmed |
Improving emotional well-being through nature |
title_sort |
improving emotional well-being through nature |
publisher |
Persatuan Saintis Muslim Malaysia |
publishDate |
2022 |
url |
http://irep.iium.edu.my/103475/2/103475_Improving%20emotional%20well-being%20through%20nature.pdf http://irep.iium.edu.my/103475/ https://perintis.org.my/ejournalperintis/index.php/PeJ/article/view/132 |
_version_ |
1756684064823181312 |