University of Twente Student Theses


Determining the way of walking by leveraging CSI

Braks, J.G.J. (2021) Determining the way of walking by leveraging CSI.

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Abstract:Due to the growing possibilities of the Internet of Things and the lasting importance of healthcare, these fields have been heavily investigated. This has, among other things, resulted in the use of monitoring techniques with e.g. sensors on patient’s bodies. This thesis is focused on the opportunities of channel state information, an unobtrusive remote sensing technique. Channel state information can be used to monitor movements in-between its transmitters and receivers. While much has been investigated in the field of remote sensing, this specific topic has not been extensively explored yet. Therefore, this research is going to determine how accurate ways of walking can be determined using channel state information sensing in spacious rooms. In this thesis, deep learning will be used to determine the accuracy between data of single and multiple transmitter-receiver pairs. A comparison of datasets will be used to draw a conclusion on how accurately ways of walking can be determined in spacious rooms. This paper will conclude that ways of walking can be classified fairly accurate using channel state information in spacious rooms.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business & IT BSc (56066)
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