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Kategorie: Allgemeines

ComTec auf der PEC 2018: “Towards Cooperative Self-adapting Activity Recognition"

Michel Morold auf der PEC

Auf der dritten internationalen Konferenz für Pervasive und Embedded Computing (PEC2018) stellte ComTec die Publikation „Towards Cooperative Self-adapting Activity Recognition“ vor, in welcher Techniken für Aktivitätserkennung basierend auf Kooperation und Selbstadaption als Erweiterung existierender Systeme vorgestellt wurden.

A. Jahn, S. Tomforde, M. Morold, K. David, and B. Sick, “Towards Cooperative Self-adapting Activity Recognition,” in Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PEC2018), Porto, Portugal, Jul. 2018, pp. 77–84.


Activity Recognition (AR) aims at deriving high-level knowledge about human activities and the situation in the human’s environment. Although being a well-established research field, several basic issues are still insufficiently solved, including extensibility of an AR system at runtime, adaption of classification models to a very specific behaviour of a user, or utilising of all information available, including other AR systems within range. To overcome these limitations, the cooperation of AR systems including sporadic interaction with humans and consideration of other information sources is proposed in this article as a basic new way to lead to a new generation of “smart” AR systems. Cooperation of AR systems will take place at several stages of an AR chain: at the level of recognised motion primitives (e.g. arm movement), at the level of detected low-level activities (e.g. writing), and/or at the level of identified high-level activities (e.g. participating in a meeting). This article outlines a possible architectural concept, describes the resulting challenges, and proposes a research roadmap towards cooperative AR systems.