Seminar/Thesis: Design of database and labelling tool for context recognition tasks
Today’s data collection usually uses different types of sensors that store data in different formats. Therefore, a well-structured database is a useful tool for further processing of the data. Especially in context recognition tasks, annotating the merged data plays a key role in being able to perform analysis/ evaluation and derive further conclusions.
In this seminar we will extend the current design of a database that retrieves data of different data formats from wearable measurement devices. It should be further developed to merge the data and annotate it (labelling tool) to enable context recognition pipelines. Depending on the project level, data analysis and evaluation will be part of the project.
- Apply database programming knowledge
- Develop corresponding algorithms
- Learn and apply concepts of context recognition
|ECTS||2.5, 5, 7.5 /10|
|Period||Winter term 2021|
|Presence time||Virtual, working from remote, depending on the needs|
|Useful knowledge||database programming (mySQL), python programming|
|Work distribution||100% programming and algorithm development|
|Med. Eng. designation||Advanced Context Recognition (ACR)|
|First meeting||online-introduction-vorbesprechung-of-winter-term-2021/22-seminars, on 19th October 2021 at 16:00|
|Registration||via StudOn or E-Mail to email@example.com|
Literature recommendations are provided during the meetings. The candidate is further encouraged to research relevant publications on this topic.
Final presentation and final report/thesis