This paper proposes a novel time-frequency analysis method based on the Stockwell transform (S-transform) to improve hand movement recognition accuracy from ...

Oct 14, 2019 · This paper proposes a novel time-frequency analysis method based on the Stockwelltransform (S-transform) to improve hand movement recognition ...

Oct 12, 2019 · This paper proposes a novel time-frequency analysis method based on the Stockwelltransform (S-transform) to improve hand movement recognition ...

When two kinds of features, Zero Crossing (ZC) and Root Mean Square (RMS), were used as input, the accuracy of LDA algorithm can reach 96.9%. When three ...

She, Haotian,et al."SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy".SENSORS 19.20(2019):15. 条目包含的文件.

This paper proposes a novel time-frequency analysis method based on the Stockwell transform (S-transform) to improve hand movement recognition accuracy from ...

SEMG feature extraction based on stockwell transform improves hand movement recognition accuracy · Beijing Institute of Technology · Ministry of Education in ...

She et al. SEMG feature extraction based on stockwell transform improves hand movement recognition accuracy. Sensors. (2019). U. Cote-Allard et al. Deep ...

Bibliographic details on SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy.

SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy · Engineering. Sensors · 2019.