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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hh-34272 |
| Date | January 2017 |
| Creators | Svensson, Tim |
| Publisher | Högskolan i Halmstad, Akademin för informationsteknologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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