Towards Systematic Benchmarking of Activity Recognition Algorithms


Sztyler, Timo ; Meilicke, Christian ; Stuckenschmidt, Heiner



DOI: tba
URL: https://www.ieee.org/conferences_events/conference...
Additional URL: http://www.comorea.org/
Document Type: Conference or workshop publication
Year of publication: 2018
Book title: 2018 IEEE International Conference on Pervasive Computing and Communications : PerCom 2018, Athens, Greece, March 19-23, 2018
Page range: tba
Conference title: CoMoRea '18: 14th Workshop on Context and Activity Modeling and Recognition : affiliated to IEEE PerCom 2018
Location of the conference venue: Athens, Greece
Date of the conference: 19.-23.03.2018
Place of publication: Piscataway, NJ
Publishing house: IEEE Computer Society
ISBN: tba
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: In this paper we propose a benchmarking framework for evaluating activity recognition methods. We use an ontology for describing activity recognition datasets on the meta-level and propose a fine-grained annotation scheme for activity recognition datasets. Given a method that implements a defined interface, an evaluation client can be used to automatically run experiments on annotated datasets. Our framework helps to find relevant datasets and makes results reproducible by fixing concrete experimental settings. We show how to use the framework and report about a preliminary evaluation experiment.

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