Posture and gait correction system
The increase in technology and mundane day-to-day task is causing people to adopt bad postural habits which will have ill-intended effects in the future and are mainly caused by poor postural awareness. Poor postural awareness can be stemmed from being pre-occupied by activities with little mobility...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/147985 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-147985 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1479852021-05-17T08:17:35Z Posture and gait correction system Chua, Jia Ren Oh Hong Lye School of Computer Science and Engineering hloh@ntu.edu.sg Engineering::Computer science and engineering::Software::Software engineering The increase in technology and mundane day-to-day task is causing people to adopt bad postural habits which will have ill-intended effects in the future and are mainly caused by poor postural awareness. Poor postural awareness can be stemmed from being pre-occupied by activities with little mobility such as a desk job or watching television and bad ergonomics. Using a mobile phone and sensors, information about the state of the user’s posture can be derived and feedback can be generated when bad posture is detected. With the aid of the application, users can improve their postural awareness and prevent postural ailments from occurring in the future. The purpose of this project is to allow users to improve their quality of life in the long run and reduce the probability of visits to physiotherapists in the future using sensors and an Android application. Bachelor of Engineering (Computer Science) 2021-04-21T05:50:11Z 2021-04-21T05:50:11Z 2021 Final Year Project (FYP) Chua, J. R. (2021). Posture and gait correction system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147985 https://hdl.handle.net/10356/147985 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 |
Engineering::Computer science and engineering::Software::Software engineering |
spellingShingle |
Engineering::Computer science and engineering::Software::Software engineering Chua, Jia Ren Posture and gait correction system |
description |
The increase in technology and mundane day-to-day task is causing people to adopt bad postural habits which will have ill-intended effects in the future and are mainly caused by poor postural awareness. Poor postural awareness can be stemmed from being pre-occupied by activities with little mobility such as a desk job or watching television and bad ergonomics.
Using a mobile phone and sensors, information about the state of the user’s posture can be derived and feedback can be generated when bad posture is detected. With the aid of the application, users can improve their postural awareness and prevent postural ailments from occurring in the future.
The purpose of this project is to allow users to improve their quality of life in the long run and reduce the probability of visits to physiotherapists in the future using sensors and an Android application. |
author2 |
Oh Hong Lye |
author_facet |
Oh Hong Lye Chua, Jia Ren |
format |
Final Year Project |
author |
Chua, Jia Ren |
author_sort |
Chua, Jia Ren |
title |
Posture and gait correction system |
title_short |
Posture and gait correction system |
title_full |
Posture and gait correction system |
title_fullStr |
Posture and gait correction system |
title_full_unstemmed |
Posture and gait correction system |
title_sort |
posture and gait correction system |
publisher |
Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/147985 |
_version_ |
1701270523274592256 |