Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data
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Researchers in [219] attempt to eliminate sampling rate variability, missing data, and misaligned data timestamps with data augmentation when using multiple on-body sensors.
“Interestingly, utilizing CNN and LSTM combined model, researchers in [219] attempt to eliminate sampling rate variability, missing data, and misaligned data timestamps with data augmentation when using multiple on-body sensors.”
From Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances (2022) · cites this paper as [219]
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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
“Similarly, other researchers [8, 82, 94, 95, 197, 245, 301, 302], [238] have also developed the CNN-LSTM model in varios application scenarios by taking advantage of the feature extraction ability of CNN and the time-series data reasoning ability of LSTM.”
BackgroundMethod
- Authors
- Saha, S. S., Sandha, S. S., & Srivastava, M.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Saha, Swapnil Sayan
- Sandha, Sandeep Singh
- Venue
- Smart Innovation, Systems and Technologies
- Publisher
- Springer Singapore
- Published
- 2020-11-21
- Pages
- 39-53
- ISSN
- 2190-3018 (ISSN-L)
- 2190-3026
- OpenAlex
- W3107343637
- Cited by
- 12
- References
- 30
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 1 · 2020: 1
- FWCI
- 3.82
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Smart innovation, systems and technologies (publishedVersion)
- King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
- Keywords
- on-body sensors, missing data, data augmentation
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