For more information about the organization of the seminar, please visit the Learnweb page. The first introductory meeting will take place on Tuesday, 13.04.2021 at 14:15pm through BBB: https://bbb.uni-hildesheim.de/b/nie-csn-nel-fqd, access code 882924
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.