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Cloud based platform for real time Gait analysis: System component: Mobile architecture
Halmstad University, School of Information Technology.
2017 (English)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Today gait analysis are performed in laboratories with expensive equipment and people

must visit the labs to perform several supervised tests. The goal of this project is to

develop a platform enables gait analysis with the accelerometer sensor in a mobile phone.

This would allow more people to do gait analysis, as smart phones are widely available

and cheap equipment compared to lab equipments. In order to solve this task a mobile

application and a cloud server was created. The mobile application can gather data from

the internal accelerometer sensor and a medical grade sensor simultaneously and send

the data to the cloud server. When two sensors are used the symmetry between the left

foot and the right foot can be measured, although the system works with only one sensor

aswell.

On the cloud server the accelerometer data is analysed and gait analysis is done on the

data and visualized on a web page. The mobile application can collect data for 4 hours

at a sampling rate of 120Hz and two sensors are used. When sending data collected from

two sensors to the cloud at a sampling rate of 120 Hz the amount of data is approximately

21.96 Mb/h. The goal of the project was to create a proof-of-concept platform to do gait

analysis and that goal was fullled and a fully functional platform was developed.

Place, publisher, year, edition, pages
2017. , 49 p.
Keyword [en]
Cloud based platform, mobile architecture, gait analysis, real time
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:hh:diva-34272OAI: oai:DiVA.org:hh-34272DiVA: diva2:1112873
Subject / course
Computer science and engineering
Supervisors
Examiners
Available from: 2017-06-30 Created: 2017-06-20 Last updated: 2017-06-30Bibliographically approved

Open Access in DiVA

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf