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2020 – today
- 2023
[j6]Xin Shi, Fei Liang, Pengjie Qin, Liang Yu, Gaojie He:
A Novel Evidence Combination Method Based on Improved Pignistic Probability. Entropy 25(6): 948 (2023)- [j5]Pengjie Qin
, Xin Shi, Kesong Han, Zhirui Fan:
Lower Limb Motion Classification Using Energy Density Features of Surface Electromyography Signals' Activation Region and Dynamic Ensemble Model. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - 2021
- [j4]Pengjie Qin, Xin Shi:
A Novel Method for Lower Limb Joint Angle Estimation Based on sEMG Signal. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [c5]Xin Shi, Jieyi Zhang, Pengjie Qin, Rongyi Liu:
Angle Estimation for Lower Limb Joint Movement Based on VMD-NARX Algorithm. RCAR 2021: 474-479 - [c4]Xin Shi, Shuyuan Xu, Pengjie Qin, Gaojie He, Zhengli Leng:
Prediction Method of Lower Limb Muscle Fatigue Based on Combining Random Forest and Gated Recurrent Unit Neural Network. RCAR 2021: 1016-1022 - [c3]Xin Shi, Jiaqing Zhu, Pengjie Qin, Haoyang Cui:
A Novel Method for Predicting Action Switching in Continuous Motion based on sEMG Signals. RCAR 2021: 1343-1348 - [c2]Ying Zhao, Weiren Shi, Pengjie Qin, Wenbin Tian:
A Study on Wireless Sensor Network Layout Strategy in the Stable Temperature and Humidity Region. RCAR 2021: 1349-1354 - [c1]Xin Shi, Maqiang Zhai, Pengjie Qin, Keqi Yu, Wenbo Zhou:
A new sEMG signal feature extraction method based on S transform. RCAR 2021: 1419-1424 - 2020
- [j3]Xin Shi, Pengjie Qin, Jiaqing Zhu, Maqiang Zhai, Weiren Shi:
Feature Extraction and Classification of Lower Limb Motion Based on sEMG Signals. IEEE Access 8: 132882-132892 (2020) - [j2]Pengjie Qin, Xin Shi:
Evaluation of Feature Extraction and Classification for Lower Limb Motion Based on sEMG Signal. Entropy 22(8): 852 (2020)
2010 – 2019
- 2018
- [j1]Xin Shi, Weiding Lu, Ying Zhao, Pengjie Qin:
Prediction of Indoor Temperature and Relative Humidity Based on Cloud Database by Using an Improved BP Neural Network in Chongqing. IEEE Access 6: 30559-30566 (2018)
Coauthor Index
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