Chilipirea, Cristian

English

Monitoring and modelling crowd movement enables a plethora of applications.Crowd-movement analysis has classically been done manually, only at largescales (spatial and temporal) and based on small samples. By automating theprocess, we can dramatically increase the sample size, the amount of data. WiFiremote-positioning is currently the most popular technology to achieve thisgoal. However, not enough research has been conducted in order to understandthe quality of the data generated through WiFi remote-positioning. This thesisaims to address the issue and raise a warning light regarding the technology

University of Twente Research Information

Crowd data analytics as seen from Wifi:a critical review

https://research.utwente.nl/en/publications/bb83093f-6d02-493a-905c-b9979157401c

Crowd data analytics as seen from Wifi:a critical review

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University of Twente Research Information