Employment of Ensemble Machine Learning Methods for Human Activity Recognition

Table 6

Comparison with other approached models.

Authors	Best trained model	Highest accuracy (%)
Shakya et al. [13]	CNN	99.16
Deep and Zheng [14]	CNN-LSTM	93.40
Jaouedi et al. [16]	RNN	92.00
Polu [17]	Modified RF classifier	94.00
Suto et al. [18]	ANN	97.00
Wan et al. [19]	CNN	92.71
Vijayvargiya et al. [20]	Random forest classifier	92.71
Our research approach	Stacking and voting	99.36