Cited by 730Context-Aware Activity Recognition SystemsHuman Pose and Action RecognitionGait Recognition and Analysis

Sensor-based and vision-based human activity recognition: A comprehensive survey

Minh Dang, L., Min, Kyungbok, Wang, Hanxiang, Jalil Piran, Md., Hee Lee, Cheol, Moon, Hyeonjoon·2020·Pattern Recognition

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Crossref · 10.1016/j.patcog.2020.107561

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260 of 260 references verified0 citation errors · 0 not checkable

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  • The sliding window technique segments input sensor data into equal-size slices and classifies each slice as a certain class.

    “The sliding window technique is commonly used. It segments the input sensors data into slices with equal size [8][10]. Each slice with multiple samples is then classified as a certain class (window-wise classification).”

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Authors
Minh Dang, L., Min, K., Wang, H., Jalil Piran, M., Hee Lee, C., & Moon, H.
Affiliations
Sejong University (KR)
Corresponding author
Moon, Hyeonjoon
Venue
Pattern Recognition
Publisher
Elsevier BV
Published
2020-12
Volume
108
Pages
107561
ISSN
0031-3203 (ISSN-L)
OpenAlex
W3044326989
Cited by
730
References
262
Citations by year
2026: 65 · 2025: 126 · 2024: 181 · 2023: 159 · 2022: 119 · 2021: 73 · 2020: 6 · 2012: 1
FWCI
33.49
Type
journal article
Language
en
Open access
closed
Locations
Pattern Recognition (publishedVersion)
Funders
  • Institute for Information and Communications Technology Promotion
  • Ministry of Education (2020R1A6A1A03038540)
  • Ministry of Science, ICT and Future Planning (2019-0-00136)
  • National Research Foundation of Korea
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 › Engineering › Biomedical Engineering › Gait Recognition and Analysis
Keywords
human activity recognition, sensor-based activity recognition, embedded sensors, Internet of Things, medical applications, context-aware systems, data preprocessing, feature engineering

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