CNN-LSTM-Based Late Sensor Fusion for Human Activity Recognition in Big Data Networks

Table 3

The weighted f1-score for the PAMAP2 dataset using all five models.

Activity label	Activities	CNN-EF	CNN-LF	LSTM-EF	CNN-LSTM-EF	CNN-LSTM-LF
0	Lying	70.22	84.97	88.66	98.63	98.25
1	Sitting	75.88	76.04	81.62	97.81	97.32
2	Standing	85.15	93.70	96.86	95.63	93.12
3	Walking	91.83	95.25	85.77	75.12	94.35
4	Running	92.58	94.83	92.85	95.89	97.40
5	Cycling	92.62	95.36	88.11	94.23	96.83
6	Nordic walking	84.49	86.75	85.15	72.32	94.63
7	Ascending stairs	68.05	56.55	78.58	82.58	85.36
8	Descending stairs	77.66	80.70	78.91	83.76	84.81
9	Vacuum cleaning	86.52	90.65	85.60	88.86	86.14
10	Ironing	88.95	89.92	94.37	94.78	91.47
11	Rope jumping	93.80	97.44	99.23	91.95	89.38