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

Table 4

f-Measure of class descriptions found by the CELOE algorithm for both datasets.

Dataset	Activity	CELOE
		COSAR	Noor	OMA	Salguero	SPHERE
Singla et al. [57]	Answer the phone	22.34	66.67	34.15	34.15	27.45
	Choose outfit	97.67	66.67	100.00	100.00	100.00
	Clean	55.26	45.99	84.00	91.30	84.00
	Fill medication dispenser	30.77	30.53	88.89	88.89	80.00
	Prepare birthday card	72.41	36.42	77.78	82.35	72.41
	Prepare soup	87.50	40.29	97.67	100.00	87.50
	Wash DVD	85.71	31.82	91.30	95.45	85.71
	Water plants	60.00	100.00	72.41	72.41	67.74
Ordoñez et al. [53]	Breakfast	18.72	80.00	20.28	27.33	18.72
	Dinner	7.53	50.00	14.86	14.86	13.02
	Grooming	32.71	80.92	39.91	68.48	39.91
	Leaving	73.08	35.10	76.00	83.52	73.08
	Lunch	11.50	10.36	18.84	23.85	11.50
	Showering	50.00	10.26	100.00	100.00	50.00
	Sleeping	29.29	21.72	38.41	40.28	29.29
	Snack	35.52	42.07	37.86	49.73	35.52
	Spare time TV	55.90	75.83	56.33	59.08	55.90
	Toileting	32.40	100.00	47.54	47.54	46.28
	Average	47.68	51.37	60.90	65.51	54.34