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A new scheme for the development of IMU-based activity recognition systems for telerehabilitation.
Nasrabadi AM, Eslaminia AR, Bakhshayesh PR, Ejtehadi M, Alibiglou L, Behzadipour S. Nasrabadi AM, et al. Med Eng Phys. 2022 Oct;108:103876. doi: 10.1016/j.medengphy.2022.103876. Epub 2022 Aug 23. Med Eng Phys. 2022. PMID: 36195370
In the optimal design, several classifiers (i.e. NM, k-NN, MLP with RBF as a hidden layer, and multistage RBF SVM) were investigated. ...
In the optimal design, several classifiers (i.e. NM, k-NN, MLP with RBF as a hidden layer, and multistage RBF SVM) were investigated. …
Classification of Activities of Daily Living Based on Grasp Dynamics Obtained from a Leap Motion Controller.
Sharif H, Eslaminia A, Chembrammel P, Kesavadas T. Sharif H, et al. Sensors (Basel). 2022 Oct 28;22(21):8273. doi: 10.3390/s22218273. Sensors (Basel). 2022. PMID: 36365969 Free PMC article.
Then, a set of features with time and frequency domains is combined with two well-known classifiers, i.e., the support vector machine and convolutional neural network, to classify the tasks, and a classification accuracy of over 99% is achieved....
Then, a set of features with time and frequency domains is combined with two well-known classifiers, i.e., the support vector machine …