Compensating for On-body Placement Effects in Activity Recognition

phD. thesis latex sources on github

Compensating for On-body Placement Effects in Activity Recognition

I’m pleased to announce the completion of my Ph.D. from the University of Passau under the guidance of my advisors:

Principal Advisor: Prof. Dr. Paul Lukowicz Secondary Advisor: Prof. Dr. Hans Gellersen

My doctoral thesis has been published and is available atOpus Bayern. The pdf is open access, so feel free to read it (careful it’s a 19 MB pdf): Compensating for On-Body Placement Effects in Activity Recognition as pdf

However, the sources were not available. Finally, I got around to push the latex sources of my dissertation up to github.

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Device Motion in Html/Javascript

A simple demo

This project demonstrates real-time accelerometer data streaming from mobile devices using WebSocket technology. The system combines a Node.js web server with a Processing.org visualization interface. When a mobile device connects to the server through its browser, the visualization displays a distinctive red cube among randomly positioned background cubes. The cube features a dynamic transparent aura that responds to the intensity of the device’s movement - the more vigorously you shake your phone, the more pronounced the visual effect becomes.

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