Human activity recognition based on smartphone and wearable sensors using multiscale DCNN ensemble
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One common way to improve robustness is to leverage the benefits of multiple types of sensors together to create multi-sensory systems.
“One common way to improve robustness is to leverage the benefits of multiple types of sensors together to create multi-sensory systems [249,310,311,312,313,314].”
From Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances (2022) · cites this paper as [314]
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Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Zhang, S., Li, Y., Zhang, S., Shahabi, F., Xia, S., Deng, Y., & Alshurafa, N. (2022) · Sensors · doi:10.3390/s22041476 · Cited by 625 · see citing works
“One common way to improve robustness is to leverage the benefits of multiple types of sensors together to create multi-sensory systems [296, 310, 311, 312, 313, 314].”
BackgroundKwon, H., Abowd, G. D., & Plötz, T. (2021) · Sensors · doi:10.3390/s21248337 · Cited by 30 · see citing works
- Authors
- Sena, J., Barreto, J., Caetano, C., Cramer, G., & Schwartz, W. R.
- Affiliations
- Universidade Federal de Minas Gerais (BR)
- Corresponding author
- Sena, Jessica
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 444
- Pages
- 226-243
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W3107057812
- Cited by
- 81
- References
- 37
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 18 · 2023: 22 · 2022: 17 · 2021: 6
- FWCI
- 4.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurocomputing (publishedVersion)
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (~309953/2019-7, ~438629/2018-3)
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais (APQ-00567-14, PPM-00540-17)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Keywords
- human activity recognition, wearable sensors, smartphone sensors, sensor fusion, multimodal data, temporal patterns, human walking, multiple kernel learning, Inception network, data heterogeneity
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