Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques

Table 3

Accuracies of class descriptions found by the CEL algorithms for both datasets.

Dataset	Activity	CELOE					OCEL
		COSAR	Noor	OMA	Salguero	SPHERE	COSAR	Noor	OMA	Salguero	SPHERE
Singla et al. [57]	Answer the phone	12.57	85.11	51.50	51.50	33.53	92.22	85.11	98.80	98.80	89.22
	Choose outfit	99.40	85.11	100.00	100.00	100.00	100.00	85.28	100.00	100.00	100.00
	Clean	79.64	73.76	95.21	97.60	95.21	99.40	82.62	100.00	99.40	99.40
	Fill medication dispenser	46.11	51.60	97.01	97.01	94.01	46.11	65.43	96.41	100.00	77.25
	Prepare birthday card	90.42	60.99	92.81	94.61	90.42	94.01	71.10	98.20	98.20	97.60
	Prepare soup	96.41	55.85	99.40	100.00	96.41	100.00	76.95	100.00	100.00	100.00
	Wash DVD	95.81	52.13	97.60	98.80	95.81	99.40	64.01	98.80	100.00	99.40
	Water plants	83.23	100.00	90.42	90.42	88.02	88.02	100.00	91.02	95.21	97.60
Ordoñez et al. [53]	Breakfast	57.56	97.43	61.56	74.00	57.56	81.56	97.43	87.78	77.11	57.66
	Dinner	40.00	94.86	72.00	72.00	67.33	51.56	94.86	81.11	90.44	56.67
	Grooming	19.56	90.30	41.11	82.00	41.11	49.33	90.30	65.11	64.44	49.33
	Leaving	93.78	67.17	94.67	96.67	93.78	94.00	67.17	94.89	99.56	94.00
	Lunch	55.56	60.57	75.11	81.56	55.56	72.67	70.50	87.78	94.22	72.67
	Showering	96.89	71.38	100.00	100.00	96.89	100.00	78.86	100.00	100.00	100.00
	Sleeping	68.89	63.38	79.33	80.89	68.89	72.22	72.37	94.89	90.67	68.89
	Snack	62.89	77.80	66.44	79.33	62.89	80.44	83.47	81.11	82.44	62.89
	Spare time TV	61.78	83.76	62.44	66.44	61.78	61.78	83.76	72.44	80.00	61.78
	Toileting	19.33	100.00	57.33	57.33	55.11	71.33	100.00	72.89	86.22	69.11
	Average	65.55	76.18	79.66	84.45	75.24	80.78	81.62	90.07	92.04	80.75