The seminar is planned to take place on campus, although it is possible that some of the earlier meetings could still take place online. If you want to partiticpate, please also enroll in the Learnweb course at https://www.uni-hildesheim.de/learnweb2022/course/view.php?id=3273.

As the activity recognition techniques we will study in the seminar are based on machine learning, completion of the lecture "Machine Learning" or similar prior knowledge in machine learning is highly recommended. Students in Msc Data Analytics should already have passed the seminar Data Analytics I.

In the seminar, we will study and discuss so-called activity recognition methods. In activity recognition, the goal is to automatically infer activities or actions of human subjects from observations. Observations can include visual information such as images or videos, acceleration sensors worn by a subject, sensors that detect the interaction with objects, or other indirect measurements from which activities can be reconstructed. State-of-the-art activity recognition approaches are usually based on machine learning, where a model is learned from data to recognize specific activities. In this seminar, students will present and discuss different approaches to carry out activity and action recognition based on machine learning.