Easy ID

A Wireless Sensor Package to Measure Human Interaction Features

Master thesis (2017)

Authors

M. Liu Mechanical Engineering

Contributors

A. Bossche (supervisor 1)
Faculty
Mechanical Engineering
Copyright: © 2017 Mengdi Liu
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Published Date

21-07-2017

Language

English

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Faculty

Mechanical Engineering

Abstract

This thesis proposes a low-cost and small size customized data acquisition sensor badge, called Easy ID, which is specially designed for the Vision Lab Group in TU Delft for their on body data capture during social events. Easy ID is designed based on an open source platform, which provides enough space for future upgrade and extension.
The innovate infrared communication algorithm and the open source software created to drive the circuits in this thesis can be shared with other similar implementations. Instead of using C/C++ language, this work uses python to enhance the code readability for our clients and realize a high-level programming method to drive hardware. To overcome the delays while modulating the transistors, a 555 oscillator is adapted, for a 38kHz carrier frequency. The performance of Easy ID’s identification is evaluated under both static and dynamic scenarios. With the infrared communication modules, the Easy ID can detect any facing another Easy ID with a range of 120 degree opening angle and 3.5 meters distance. The sampling frequency of motion capture is typically 20Hz with 9 DoFs inertial sensors. A highly accurate global time stamp can be stored combined with the data from sensors as data logs.