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On strategies for budget-based online annotation in human activity recognition
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posted on 2023-06-08, 21:21 authored by Tudor Miu, Paolo Missier, Daniel RoggenDaniel Roggen, Thomas PlötzBootstrapping activity recognition systems in ubiquitous and mobile computing scenarios often comes with the challenge of obtaining reliable ground truth annotations. A promising approach to overcome these difficulties involves obtaining online activity annotations directly from users. However, such direct engagement has its limitations as users typically show only limited tolerance for unwanted interruptions such as prompts for annotations. In this paper we explore the effectiveness of approaches to online, user-based annotation of activity data. Our central assumption is the existence of a fixed, limited budget of annotations a user is willing to provide. We evaluate different strategies on how to spend such a budget most effectively. Using the Opportunity benchmark we simulate online annotation scenarios for a variety of budget configurations and we show that effective online annotation can still be achieved using reduced annotation effort.
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Publication status
- Published
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Page range
767-776Presentation Type
- paper
Event name
2014 ACM International Joint Conference on Pervasive and Ubiquitous ComputingEvent location
Washington, USEvent type
conferenceEvent date
13-17 Sept 2014Book title
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 AdjunctDepartment affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2015-06-30Usage metrics
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