Cited by 338Context-Aware Activity Recognition SystemsTime Series Analysis and ForecastingGait Recognition and Analysis

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A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

Challa, Sravan Kumar, Kumar, Akhilesh, Semwal, Vijay Bhaskar·2022·The Visual Computer

DOI 10.1007/s00371-021-02283-3

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Authors: Challa, S. K., Kumar, A., & Semwal, V. B.
Affiliations: National Institute of Technology Jamshedpur (IN)
Maulana Azad National Institute of Technology (IN)
Corresponding author: Challa, Sravan Kumar
ORCID: Challa, Sravan Kumar
Kumar, Akhilesh
Semwal, Vijay Bhaskar
Venue: The Visual Computer
Publisher: Springer Science and Business Media LLC
Published: 2021-08-20
Volume: 38
Issue: 12
Pages: 4095-4109
ISSN: 0178-2789 (ISSN-L)
1432-2315
DOI: 10.1007/s00371-021-02283-3
OpenAlex: W3193597430
Cited by: 338
References: 52
Citations by year: 2026: 44 · 2025: 85 · 2024: 78 · 2023: 96 · 2022: 34 · 2021: 1
FWCI: 18.81
Type: journal article
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: The Visual Computer (publishedVersion, public-domain)
Funders: Department of Science and Technology (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, automatic feature extraction, time series classification, long-range dependencies, smartphone sensor data, WISDM, UCI-HAR, PAMAP2

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A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

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