Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network
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GAN synthesizes data via adversarial generation, alleviates data scarcity and enables domain adaptation, and is used for sEMG data augmentation and cross-device adaptation.
“| GAN | Synthesize data via adversarial generation | Alleviate data scarcity, enable domain | sEMG data augmentation, cross-device |”
From Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction (2026) · cites this paper as [268]
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Chen, S., Peng, C., Yang, B., Lin, J., Zhou, L., Jiang, Z., Liu, Z., Liu, Y., & Tang, L. (2026) · npj Artificial Intelligence · doi:10.1038/s44387-026-00083-5 · Cited by 9 · see citing works
- Authors
- Kapsalyamov, A., Hussain, S., Brown, N. A. T., Goecke, R., Hayat, M., & Jamwal, P. K.
- Affiliations
- University of Canberra (AU)
- Monash University (AU)
- Nazarbayev University (KZ)
- Corresponding author
- Kapsalyamov, Akim
- ORCID
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 117
- Pages
- 105500
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W4306654685
- Cited by
- 45
- References
- 35
- Citations by year
- 2026: 10 · 2025: 14 · 2024: 16 · 2023: 5
- FWCI
- 2.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Engineering Applications of Artificial Intelligence (publishedVersion)
- Nazarbayev University Repository (Nazarbayev University) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Mechanisms and Dynamics
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Keywords
- six-bar linkage, gait rehabilitation, robotic exoskeleton, mechanism parameter optimization, stroke rehabilitation, walking trajectories
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