Table 3.

Parameters used for Features Selection and Resolution Selection experimentation.

Location	Dataset	DT		kNN		SVM
		Criterion	Max Depth	Algorithm	Neighbors	c	Gamma
Feature Selection Fitness Gym	FULL	entropy	10	ball_tree	1	10	1
	RFE	entropy	6	ball_tree	1	1	1
	KBEST	entropy	10	ball_tree	1	1	1
	MIN	entropy	8	ball_tree	1	1	1
Feature Selection Living Room	FULL	gini	12	ball_tree	1	N/A	N/A
	RFE	gini	12	ball_tree	1	N/A	N/A
	KBEST	gini	12	ball_tree	1	N/A	N/A
	MIN	gini	12	ball_tree	1	N/A	N/A
Resolution Selection Fitness Gym	10 s	entropy	8	ball_tree	1	1	1
	10 avg.	entropy	10	ball_tree	1	1	1
	30 s	entropy	16	ball_tree	1	1	1
	30 avg.	entropy	14	ball_tree	1	1	1
	1 min	entropy	14	ball_tree	1	1	1
	1 avg.	gini	16	ball_tree	1	1	1
Resolution Selection Living Room	10 s	entropy	22	ball_tree	1	100	10
	10 avg.	entropy	24	ball_tree	1	100	10
	30 s	entropy	22	ball_tree	1	100	10
	30 avg.	entropy	22	ball_tree	1	100	10
	1 min	entropy	20	ball_tree	1	100	10
	1 avg.	gini	20	ball_tree	1	100	10
	5 min	entropy	18	ball_tree	1	100	10
	5 avg.	entropy	12	ball_tree	1	100	10