Seminar: Advanced Context Recognition
Background
ACR introduces and discusses current scientific topics in context recognition (i.e. identifying and describing a situation or state of the environment in the computer) from sensor data, including time series data and image data. Each term, new projects and medical applications are offered for the participating students to choose from. Learning objectives of the seminar are in the field of machine learning and pattern recognition and remain the same across all projects. The learning objectives are supported by practical implementation and validation of context recognition stacks in a project application selected by the student.
Learning Objectives
- Understand current scientific topics in context recognition of time series and image data.
- Apply machine learning and pattern recognition algorithms in context recognition.
Data
| Project type | Seminar |
| ECTS | For seminars: 2.5, 5, 7.5, default: 5 |
| Language | English |
| Period | Summer term 2024 |
| Presence time | Virtual seminar, working from remote |
| Useful knowledge | Python |
| Work distribution | 25% algorithm design, 50% programming, 25% running experiments |
| Med. Eng. designation | Advanced Context Recognition (ACR) |
| StudOn link | https://www.studon.fau.de/campo/course/401519 |
| First meeting | |
| Registration | Via StudOn, obligatory after introduction. |
Literature
Up-to-date literature recommendations are provided during the lectures.
Examination
- Final project presentation, demonstrator and final report.
Contact
Dr. Luis I. Lopera G.
- Job title: Researcher
- Address: Henkestraße 91, Haus 7, 1. OG
91052 Erlangen
Germany - Phone number: +49 9131 85-23605
- Email: luis.i.lopera@fau.de