Institut für Technik der Informationsverarbeitung (ITIV)

Data Pipeline and Analytics for Motion Tracking

  • Forschungsthema:Data Engineering, Algorithms, Data Analytics, Cloud-native
  • Typ:Masterarbeit
  • Datum:offen (zu vergeben)
  • Betreuer:

    Dr.-Ing. Tanja Harbaum

Data Pipeline and Analytics for Motion Tracking

.
.
.
.

Umfeld

Flexible and wearable sensors are getting closer to market and hybrid flexible electronics will be integrated in many end-user products. Especially in sports and healthcare, these new electronic sensors elements offer numerous possibilities. A shirt with hybrid flexible sensors and actuators is able to track motions in real-time and gives feedback to a user. If one combines this with modern Cloud technologies and data analytics, you can build a powerful ecosystem that generates new insights and can make all the difference for athletes and patients. Within this thesis there will be a strong cooperation with the Robert Bosch GmbH and ITK Engineering GmbH.

 

Aufgabe

The primary goal of this thesis is to design a data pipeline which can take the real-time data sent from the motion tracking system, via a wireless protocol (e.g. BLE), store and process it to gain further insight. The data pipeline should employ state-of-the-art databases, analytics engines and data visualization frameworks.

The motion tracking system will provide the sensor signals for acceleration and rotation as time series data. The design should allow for flexibility, in terms of the configuration of the connected motion tracking system, the employed analytics algorithms, scale and deployment (on-premises or cloud)

 

Voraussetzungen

  • Experience with cloud technologies to build data pipeline, such as Apache Spark, Python, InfluxDB, Docker, ELK stack and others
  • Motivation and interest in solving technical problems independently