Zhengyi Shi
Biographic Data
| ID | 10034416 |
|---|---|
| NAME | Zhengyi Shi |
| GIVEN NAMES | Zhengyi |
| FAMILY NAME | Shi |
| SIGNATURE | SHI Z |
| AFFILIATIONS | Fuzhou University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Gaussian Process Autoregression for Joint Angle Prediction Based on sEMG Signals
There is uncertainty in the neuromusculoskeletal system, and deterministic models cannot describe this significant presence of uncertainty, affecting the accuracy of model predictions. In this paper, a knee joint angle prediction model based on surface electromyography (sEMG) signals is proposed. To address the instability of EMG signals and the uncertainty of the neuromusculoskeletal system, a non-parametric probabilistic model is developed usin…
No prominent works on this page.
Gaussian Process Autoregression for Joint Angle Prediction Based on sEMG Signals
There is uncertainty in the neuromusculoskeletal system, and deterministic models cannot describe this significant presence of uncertainty, affecting the accuracy of model predictions. In this paper, a knee joint angle prediction model based on surface electromyography (sEMG) signals is proposed. To address the instability of EMG signals and the uncertainty of the neuromusculoskeletal system, a non-parametric probabilistic model is developed usin…
Artificial Intelligence (1 work) · Autoregressive model (1 work) · Cardiovascular and exercise physiology (1 work) · Computer Science (1 work) · Gaussian (1 work) · Gaussian network model (1 work) · Gaussian process (1 work) · Mathematics (1 work) · Muscle activation and electromyography studies (1 work) · Nonlinear autoregressive exogenous model (1 work)