Print Email Facebook Twitter Easy ID Title Easy ID: A Wireless Sensor Package to Measure Human Interaction Features Author Liu, Mengdi (TU Delft Mechanical, Maritime and Materials Engineering) Contributor Bossche, Andre (mentor) Degree granting institution Delft University of Technology Programme Biomedical Engineering Date 2017-07-21 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. Subject WearablesSensor PackageHuman Motion Capture To reference this document use: http://resolver.tudelft.nl/uuid:6719c8e1-2913-4e62-8d54-1f5f7598667a Part of collection Student theses Document type master thesis Rights © 2017 Mengdi Liu Files PDF dissertation-1.pdf 96.05 MB Close viewer /islandora/object/uuid:6719c8e1-2913-4e62-8d54-1f5f7598667a/datastream/OBJ/view