Cited by 182Context-Aware Activity Recognition SystemsHuman Pose and Action RecognitionTime Series Analysis and Forecasting

Performance metrics for activity recognition

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Ward, Jamie A., Lukowicz, Paul, Gellersen, Hans W.·2011·ACM Transactions on Intelligent Systems and Technology

Abstract

In this article, we introduce and evaluate a comprehensive set of performance metrics and visualisations for continuous activity recognition (AR). We demonstrate how standard evaluation methods, often borrowed from related pattern recognition problems, fail to capture common artefacts found in continuous AR—specifically event fragmentation, event merging and timing offsets. We support our assertion with an analysis on a set of recently published AR papers. Building on an earlier initial work on the topic, we develop a frame-based visualisation and corresponding set of class-skew invariant metrics for the one class versus all evaluation. These are complemented by a new complete set of event-based metrics that allow a quick graphical representation of system performance—showing events that are correct, inserted, deleted, fragmented, merged and those which are both fragmented and merged. We evaluate the utility of our approach through comparison with standard metrics on data from three different published experiments. This shows that where event- and frame-based precision and recall lead to an ambiguous interpretation of results in some cases, the proposed metrics provide a consistently unambiguous explanation.

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Authors
Ward, J. A., Lukowicz, P., & Gellersen, H. W.
Affiliations
  • Lancaster University (GB)
  • University of Passau (DE)
Venue
ACM Transactions on Intelligent Systems and Technology
Published
2011-01
Volume
2
Issue
1
Pages
1-23
ISSN
  • 2157-6904 (ISSN-L)
  • 2157-6912
OpenAlex
W2060233269
Cited by
182
References
38
Citations by year
2026: 4 · 2025: 10 · 2024: 11 · 2023: 6 · 2022: 8 · 2021: 15 · 2020: 16 · 2019: 8 · 2018: 12 · 2017: 7 · 2016: 12 · 2015: 18 · 2014: 17 · 2013: 18 · 2012: 10
FWCI
18.61
Type
journal article
Language
en
Open access
Locations
  • ACM Transactions on Intelligent Systems and Technology (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
Funders
Engineering and Physical Sciences Research Council (EP/H005064/1)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
  • Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
Keywords
performance indicators, timing offset, precision and recall

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