matlab-based offline algorithm Search Results


svm  (MathWorks Inc)
90
MathWorks Inc svm
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Svm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
svm - by Bioz Stars, 2026-04
90/100 stars
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matlab-based algorithm  (MathWorks Inc)
90
MathWorks Inc matlab-based algorithm
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Matlab Based Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab-based algorithm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab-based algorithm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained SVM is obtained offline in MATLAB and the online testing is conducted in Visual Studio.

Journal: Sensors (Basel, Switzerland)

Article Title: PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons

doi: 10.3390/s16091408

Figure Lengend Snippet: Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained SVM is obtained offline in MATLAB and the online testing is conducted in Visual Studio.

Article Snippet: The model produced by the SVM is trained offline in MATLAB, based on which, the online SVM algorithm can predict the locomotion mode according to the signals measured by sensors in real time.

Techniques: Blocking Assay

The classification result using PSO-SVM with MVA. Those five instances along the sample axis are those five locomotion modes. Misidentification happens when the actual instances (the circle point) misalign with the prediction instances (the star point).

Journal: Sensors (Basel, Switzerland)

Article Title: PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons

doi: 10.3390/s16091408

Figure Lengend Snippet: The classification result using PSO-SVM with MVA. Those five instances along the sample axis are those five locomotion modes. Misidentification happens when the actual instances (the circle point) misalign with the prediction instances (the star point).

Article Snippet: The model produced by the SVM is trained offline in MATLAB, based on which, the online SVM algorithm can predict the locomotion mode according to the signals measured by sensors in real time.

Techniques: