Cited by 309Context-Aware Activity Recognition SystemsTime Series Analysis and ForecastingGait Recognition and Analysis

Imaging and fusing time series for wearable sensor-based human activity recognition

Qin, Zhen, Zhang, Yibo, Meng, Shuyu, Qin, Zhiguang, Choo, Kim-Kwang Raymond·2020·Information Fusion

Integrity signals

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Crossref · 10.1016/j.inffus.2019.06.014

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53 of 53 references verified0 citation errors · 0 not checkable

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Authors
Qin, Z., Zhang, Y., Meng, S., Qin, Z., & Choo, K.-K. R.
Affiliations
  • University of Electronic Science and Technology of China (CN)
  • The University of Texas at San Antonio (US)
Corresponding author
Choo, Kim-Kwang Raymond
Venue
Information Fusion
Publisher
Elsevier BV
Published
2020-01
Volume
53
Pages
80-87
ISSN
1566-2535 (ISSN-L)
OpenAlex
W2954709787
Cited by
309
References
53
Citations by year
2026: 18 · 2025: 42 · 2024: 58 · 2023: 48 · 2022: 43 · 2021: 42 · 2020: 28 · 2019: 2 · 2017: 2 · 2016: 2 · 2014: 3 · 2013: 1 · 2012: 1
FWCI
12.87
Type
journal article
Language
en
Open access
closed
Locations
Information Fusion (publishedVersion)
Funders
  • National Natural Science Foundation of China-Yunnan Joint Fund (U1401257)
  • National Natural Science Foundation of China (61672135)
  • Fundamental Research Funds for the Central Universities (2672018ZYGX2018J057)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
  • Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
Keywords
human activity recognition, wearable sensors, time-series imaging, sensor fusion, heterogeneous sensor data, accelerometer, gyroscope, magnetometer, mobile device sensors, MHEALTH dataset

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