Browsing Systems Design Engineering by Author "Jiang, Ning"
Now showing items 21-25 of 25
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Online mapping of EMG signals into kinematics by autoencoding
Vujaklija, Ivan; Shalchyan, Vahid; Kamavuako, Ernest Nlandu; Jiang, Ning; Marateb, Hamid R.; Farina, Dario (Biomed Central, 2018-03-13)Background: In this paper, we propose a nonlinear minimally supervised method based on autoencoding (AEN) of EMG for myocontrol. The proposed method was tested against the state-of-the-art (SOA) control scheme using a ... -
Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery
Yao, Lin; Sheng, Xinjun; Mrachacz-Kersting, Natalie; Zhu, Xiangyang; Farina, Dario; Jiang, Ning (Institute of Electrical and Electronics Engineers, 2017-11-03)A large proportion of users do not achieve adequate control using current non-invasive Brain-computer Interfaces (BCI). This issue has being coined “BCI-Illiteracy”, and is observed among BCI modalities. Here, we compare ... -
Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization
Lin, Chuang; Wang, Binghui; Jiang, Ning; Farina, Dario (Institute of Physics, 2017-10-27)Objective. This paper proposes a novel simultaneous and proportional multiple degree of freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is based on non-negative matrix factorization ... -
Spatial Information Enhances Myoelectric Control Performance with Only Two Channels
He, Jiayuan; Sheng, Xinjun; Zhu, Xiangyang; Jiang, Chaozhe; Jiang, Ning (Institute of Electrical and Electronics Engineers, 2018-09-10)Automatic gesture recognition (AGR) is investigated as an effortless human-machine interaction method, potentially applied in many industrial sectors. When using surface electromyogram (sEMG) for AGR, i.e. myoelectric ... -
Wrist and Finger Gesture Recognition with Single-element A-mode Ultrasound signal: A Comparison with Single-channel Surface Electromyogram
He, Jiayuan; Luo, Henry; Jia, Jie; Yeow, John; Jiang, Ning (Institute of Electrical and Electronics Engineers, 2018-10-01)With the ability to detect volumetric changes of contracting muscles, ultrasound (US) was a potential technique in the field of human-machine interface (HMI). Compared to the US imaging (B-mode US), the signal from a static ...