A survey on artificial intelligence in Chinese sign language recognition
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Gesture and speech recognition are important applications of AI and ML in robotics.
“Gesture and speech recognition are also important applications of AI and ML in robotics.”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [9]
Robots like Pepper can recognize and respond to human gestures and speech, making them useful in contexts such as customer service or healthcare.
“For example, robots like Pepper can recognize and respond to human gestures and speech, making them useful in a variety of contexts such as customer service or healthcare [9] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [9]
Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474 · see citing works
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155 · see citing works
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589 · see citing works
Deep Convolutional Neural Network for Inverse Problems in Imaging
Jin, K. H., McCann, M. T., Froustey, E., & Unser, M. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2713099 · Cited by 2,529 · see citing works
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Dai, J., He, K., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1512.04412 · Cited by 1,273 · see citing works
Peng, X., Tang, Z., Yang, F., Feris, R. S., & Metaxas, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00237 · Cited by 240 · see citing works
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Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios
Vachmanus, S., Ravankar, A. A., Emaru, T., & Kobayashi, Y. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3077029 · Cited by 53 · see citing works
- Authors
- Jiang, X., Satapathy, S. C., Yang, L., Wang, S.-H., & Zhang, Y.-D.
- Affiliations
- Nanjing Normal University of Special Education (CN)
- KIIT University (IN)
- Venue
- Arabian Journal for Science and Engineering
- Published
- 2020-07-22
- Volume
- 45
- Issue
- 12
- Pages
- 9859-9894
- ISSN
- 1319-8025 (ISSN-L)
- 2193-567X
- 2191-4281
- OpenAlex
- W3044907535
- Cited by
- 71
- References
- 6
- Citations by year
- 2026: 5 · 2025: 17 · 2024: 15 · 2023: 7 · 2022: 10 · 2021: 12 · 2020: 5
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Arabian Journal for Science and Engineering (publishedVersion)
- Funders
- Jiangsu Overseas Visiting Scholar Program for University Prominent Young & Middle-aged Teachers and Presidents of China
- The Natural Science Foundation of Jiangsu Higher Education Institutions of China (19KJA310002)
- Royal Society International Exchanges Cost Share Award, UK (RP202G0230)
- Medical Research Council Confidence in Concept Award, UK (MC_PC_17171)
- Hope Foundation for Cancer Research, UK (RM60G0680)
- Fundamental Research Funds for the Central Universities (CDLS-2020-03)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Keywords
- sign language recognition, hearing loss, spatio-temporal features, convolutional neural networks, transfer learning, hidden Markov models, support vector machine, skin color modeling, sign language dataset, facial expression recognition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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