Cited by 447Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot LearningHuman Mobility and Location-Based Analysis

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Transfer learning for activity recognition: a survey

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Cook, Diane, Feuz, Kyle D., Krishnan, Narayanan C.·2013·Knowledge and Information Systems

DOI 10.1007/s10115-013-0665-3PMC PMC3768027

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Abstract

Many intelligent systems that focus on the needs of a human require information about the activities being performed by the human. At the core of this capability is activity recognition, which is a challenging and well-researched problem. Activity recognition algorithms require substantial amounts of labeled training data yet need to perform well under very diverse circumstances. As a result, researchers have been designing methods to identify and utilize subtle connections between activity recognition datasets, or to perform transfer-based activity recognition. In this paper we survey the literature to highlight recent advances in transfer learning for activity recognition. We characterize existing approaches to transfer-based activity recognition by sensor modality, by differences between source and target environments, by data availability, and by type of information that is transferred. Finally, we present some grand challenges for the community to consider as this field is further developed.

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Authors: Cook, D., Feuz, K. D., & Krishnan, N. C.
Affiliations: Washington State University (US)
Corresponding author: Cook, Diane
ORCID: Cook, Diane
Krishnan, Narayanan C.
Venue: Knowledge and Information Systems
Publisher: Springer Science and Business Media LLC
Published: 2013-06-07
Volume: 36
Issue: 3
Pages: 537-556
ISSN: 0219-1377 (ISSN-L)
0219-3116
DOI: 10.1007/s10115-013-0665-3
PMC: PMC3768027
OpenAlex: W2037265949
Cited by: 447
References: 88
Citations by year: 2026: 17 · 2025: 27 · 2024: 36 · 2023: 33 · 2022: 57 · 2021: 56 · 2020: 59 · 2019: 55 · 2018: 42 · 2017: 23 · 2016: 17 · 2015: 6 · 2014: 12 · 2013: 5
FWCI: 14.98
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
Locations: Knowledge and Information Systems (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute of Biomedical Imaging and Bioengineering (R01EB009675, R01EB015853)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Social Sciences › Transportation › Human Mobility and Location-Based Analysis
Keywords: transfer learning, activity recognition, human activity recognition, sensor modalities, domain adaptation, data availability, information transmission

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Transfer learning for activity recognition: a survey

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