Cited by 432Context-Aware Activity Recognition SystemsTime Series Analysis and ForecastingGait Recognition and Analysis

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Multi-input CNN-GRU based human activity recognition using wearable sensors

Dua, Nidhi, Singh, Shiva Nand, Semwal, Vijay Bhaskar·2021·Computing

DOI 10.1007/s00607-021-00928-8

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Authors: Dua, N., Singh, S. N., & Semwal, V. B.
Affiliations: National Institute of Technology Jamshedpur (IN)
Maulana Azad National Institute of Technology (IN)
Corresponding author: Dua, Nidhi
ORCID: Dua, Nidhi
Singh, Shiva Nand
Semwal, Vijay Bhaskar
Venue: Computing
Publisher: Springer Science and Business Media LLC
Published: 2021-03-10
Volume: 103
Issue: 7
Pages: 1461-1478
ISSN: 0010-485X (ISSN-L)
1436-5057
DOI: 10.1007/s00607-021-00928-8
OpenAlex: W3133590696
Cited by: 432
References: 54
Citations by year: 2026: 44 · 2025: 82 · 2024: 96 · 2023: 122 · 2022: 70 · 2021: 18
FWCI: 27.54
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Computing (publishedVersion, public-domain)
Funders: Science and Engineering Research Board (ECR/2018/000203)
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, CNN-GRU, convolutional neural networks, gated recurrent unit, end-to-end feature extraction, accelerometer, gyroscope, time series classification, UCI-HAR, WISDM, PAMAP2

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