| Continuous estimation of upper limb joint angle from sEMG signals based on SCA-LSTM deep learning approach C Ma, C Lin, OW Samuel, L Xu, G Li Biomedical Signal Processing and Control 61, 102024, 2020 | 82 | 2020 |
| A bi-directional LSTM network for estimating continuous upper limb movement from surface electromyography C Ma, C Lin, OW Samuel, W Guo, H Zhang, S Greenwald, L Xu, G Li IEEE Robotics and Automation Letters 6 (4), 7217-7224, 2021 | 59 | 2021 |
| Exploiting spatio-temporal representation for 3D human action recognition from depth map sequences X Ji, Q Zhao, J Cheng, C Ma Knowledge-Based Systems 227, 107040, 2021 | 44 | 2021 |
| Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals W Guo, C Ma, Z Wang, H Zhang, D Farina, N Jiang, C Lin Journal of Neural Engineering 18 (2), 026027, 2021 | 43 | 2021 |
| Improving sEMG-based motion intention recognition for upper-limb amputees using transfer learning J Fan, M Jiang, C Lin, G Li, J Fiaidhi, C Ma, W Wu Neural Computing and Applications, 1-11, 2023 | 35 | 2023 |
| A novel and efficient feature extraction method for deep learning based continuous estimation C Ma, W Guo, H Zhang, OW Samuel, X Ji, L Xu, G Li IEEE Robotics and Automation Letters 6 (4), 7341-7348, 2021 | 28 | 2021 |
| sEMG-based continuous estimation of finger kinematics via large-scale temporal convolutional network C Chen, W Guo, C Ma, Y Yang, Z Wang, C Lin Applied Sciences 11 (10), 4678, 2021 | 26 | 2021 |
| Simultaneous estimation of grip force and wrist angles by surface electromyography and acceleration signals H Mao, Y Zheng, C Ma, K Wu, G Li, P Fang Biomedical Signal Processing and Control 79, 104088, 2023 | 20 | 2023 |
| One-shot random forest model calibration for hand gesture decoding X Jiang, C Ma, K Nazarpour Journal of Neural Engineering 21 (1), 016006, 2024 | 11 | 2024 |
| A temporal Convolutional Network for EMG compressed sensing reconstruction L Zhang, J Chen, W Liu, X Liu, C Ma, L Xu Measurement 225, 113944, 2024 | 8 | 2024 |
| Finger joint angle estimation based on sEMG signals and deep learning method C Ma, W Guo, L Xu, G Li 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2021 | 4 | 2021 |
| Distanet: grasp-specific distance biofeedback promotes the retention of myoelectric skills C Ma, K Nazarpour Journal of Neural Engineering 21 (3), 036037, 2024 | 3 | 2024 |
| Plug-and-play myoelectric control via a self-calibrating random forest common model X Jiang, C Ma, K Nazarpour Journal of Neural Engineering, 2024 | 3 | 2024 |
| Performance analysis of electromyogram signal compression sampling in a wireless body area network L Zhang, J Chen, C Ma, X Liu, L Xu Micromachines 13 (10), 1748, 2022 | 3 | 2022 |
| Posture-invariant myoelectric control with self-calibrating random forests X Jiang, C Ma, K Nazarpour Frontiers in Neurorobotics 18, 1462023, 2024 | 2 | 2024 |
| Source-free random forest model calibration for myoelectric control X Jiang, C Ma, K Nazarpour bioRxiv, 2023.07. 21.550033, 2023 | 1 | 2023 |
| Deep Learning for Device-free Human Activity Recognition Using WiFi Signals L Guo, H Zhang, W Guo, J Fang, B Lu, C Ma, G Li, C Lin, L Wang Generalization With Deep Learning: For Improvement On Sensing Capability …, 2021 | 1 | 2021 |
| Toward Self-Calibrating Plug-and-Play Myoelectric Control X Jiang, C Ma, K Nazarpour Myoelectric Controls Symposium, 2024 | | 2024 |
| 3-STAGE NEURAL NETWORK TRAINING PROTOCOL FOR GENERALISABLE MYOELECTRIC CONTROL C Ma, X Jiang, K Nazarpour Myoelectric Controls Symposium, 2024 | | 2024 |
| MEDIUM DENSITY DIGITAL ELECTROMYOGRAPHY SENSING SYSTEM E Aghchehli, C Ma, M Dyson, K Nazarpour Myoelectric Controls Symposium, 2024 | | 2024 |