Table 1.

Related works.

Reference	Input Signals	Features	Classifiers	Outcomes	Performance Indices
[20]	Accelerometer, gyroscope	Temporal, Spectral features	DT,SVM,DA, RF,k-NN	Accuracy 85.5%	Accuracy, Precision, Recall
[21]	Accelerometer	Spatiotemporal features	Support Vector Regression	Accurcay 90%	Accuracy
[22]	Accelerometer	Spatiotemporal features	SVM,NB,k-NN,DT	Accuracy 88%	Accuracy
[23]	Accelerometer, Gyroscope, Magnetometer	One Dimensional CNN features	CNN	Accuracy 93.4%	Accuracy
[24]	Accelerometer	Statistical Features	SVM,k-NN,NLP	Accuracy 97.4%	Accuracy
[25]	Accelerometer, Electromyography	Time Domain Features	DT,k-NN,LDA,SVM, Boosted tree Classifier, Bagged Tree Classifier	Accuracy 99.6%	Accuracy
[26]	Accelerometer, Gyroscope, Magnetometer	Spatiotemporal features	Logistic Regression and RF	Sensitivity 86% Specificity 90%	Sensitivity, Specificity
[27]	Accelerometer	Frequency Domain Features	LSTM,SVM	Accuracy 83.38%	Accuracy
[28]	Speech Signals	Voice features	SVM,ANN,CART	Accuracy 93.84%	Accuracy