Experience with Using the Sensewear BMS Sensor System in the Context of a Health and Wellbeing Application

Table 1

(a) Extract of the timestamped pre-processed sensor data for subject 3 (columns 1–8).

Time (GMT+02:00)	Lying down	Physical activity	Moderate	Sedentary	Very Vigorous	Vigorous	Sleep
2009-09-01 13:42:00,000	0	0	0	1	0	0	0
2009-09-01 13:43:00,000	0	0	0	1	0	0	0
2009-09-01 13:44:00,000	0	0	0	1	0	0	0
2009-09-01 13:45:00,000	0	0	0	1	0	0	0
2009-09-01 13:46:00,000	0	0	0	1	0	0	0
2009-09-01 13:47:00,000	0	0	0	1	0	0	0
2009-09-01 13:48:00,000	0	1	1	0	0	0	0
2009-09-01 13:49:00,000	0	1	1	0	0	0	0
2009-09-01 13:50:00,000	0	0	0	1	0	0	0
2009-09-01 13:51:00,000	0	0	0	1	0	0	0
2009-09-01 13:52:00,000	0	0	0	1	0	0	0
2009-09-01 13:53:00,000	0	0	0	1	0	0	0
2009-09-01 13:54:00,000	0	0	0	1	0	0	0

(b) Extract of the timestamped pre-processed sensor data for subject 3 (columns 9–14).

Energy expenditure	GSR average	Heat flux average	Skin temp average	Annotations	Timestamps
1,140285611	0,536105335	18,57492638	26,9446907
1,039066195	0,401054025	30,32817268	27,81936646
2,510075331	0,302013814	54,6265564	28,19648743
1,171944857	0,223543122	57,00035858	28,32251167
1,135450482	0,170754269	53,58623123	28,51185989
1,162263155	0,137766883	54,8740387	28,6593895
3,854850769	0,117243603	79,31423187	28,72268677
2,998823404	0,104050949	75,92498779	28,70158386
1,168393016	0,092324734	65,98029327	28,80715179
1,064719796	0,083530433	64,71324921	28,91283989
1,167660356	0,079866238	68,97907257	28,9551506
1,139359117	0,074736446	67,09690094	29,01865005
1,084661007	0,07107237	66,3093338	29,06101036