Deep Fisher discriminant learning for mobile hand gesture recognition
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Bidirectional LSTMs, having both past and future recurrent connections, were used in [205,206] to classify activities.
“Bidirectional LSTMs, having both past and future recurrent connections, were used in [205,206] to classify activities.”
From Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances (2022) · cites this paper as [205]
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Self-citation
- Authors
- Li, C., Xie, C., Zhang, B., Chen, C., & Han, J.
- Affiliations
- China University of Mining and Technology - Beijing (CN)
- Beihang University (CN)
- University of Central Florida (US)
- Lancaster University (GB)
- Corresponding author
- Zhang, Baochang
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 77
- Pages
- 276-288
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2963935481
- Cited by
- 72
- References
- 75
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 12 · 2021: 10 · 2020: 12 · 2019: 17 · 2018: 3 · 2016: 1
- FWCI
- 10.48
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.lancs.ac.uk
- Locations
- Pattern Recognition (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Journal of International Crisis and Risk Communication Research (submittedVersion)
- Funders
- Ministry of Education of the People's Republic of China
- National Laboratory of Pattern Recognition
- Royal Society
- Shenzhen Peacock Plan
- National Natural Science Foundation of China (61473086, 61601466, 61672079)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- hand gesture recognition, mobile devices, linear discriminant analysis, bidirectional LSTM, bidirectional GRU, user interaction, biometrics
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