In-Gauge and En-Gage: Understanding Occupants' Behaviour, Engagement, Emotion, and Comfort Indoors with Heterogeneous Sensors and Wearables 1.0.0
(2,018 bytes)
IBI | Time |
---|---|
0.953169 | 09:24:58.796117 |
1.000046 | 09:27:02.739289 |
1.046923 | 09:29:49.028151 |
1.0938 | 09:29:50.121953 |
0.937543 | 09:29:51.059494 |
1.156303 | 09:29:56.934763 |
1.140677 | 09:29:58.075442 |
1.171929 | 09:29:59.247370 |
1.218806 | 09:30:00.466176 |
1.187554 | 09:30:01.653729 |
1.031297 | 09:30:02.685028 |
1.015671 | 09:30:41.093035 |
1.218806 | 09:31:01.140827 |
1.062549 | 09:31:19.485418 |
1.015671 | 09:31:20.501090 |
1.109426 | 09:31:21.610515 |
1.171929 | 09:31:22.782444 |
1.187554 | 09:31:23.969997 |
1.171929 | 09:31:25.141927 |
1.125051 | 09:31:26.266978 |
1.140677 | 09:31:27.407655 |
1.125051 | 09:31:28.532706 |
1.125051 | 09:31:29.657758 |
1.265683 | 09:31:37.736253 |
1.218806 | 09:31:38.955059 |
1.218806 | 09:31:40.173865 |
1.015671 | 09:44:23.630686 |
0.937543 | 09:44:24.568228 |
0.937543 | 09:44:25.505772 |
1.000046 | 09:44:26.505817 |
0.968794 | 09:44:27.474611 |
0.968794 | 09:44:28.443407 |
0.937543 | 09:44:29.380949 |
0.921917 | 09:44:30.302866 |
0.98442 | 09:44:31.287286 |
0.906291 | 09:44:49.084976 |
1.109426 | 09:44:50.194401 |
0.890666 | 09:44:58.913552 |
0.8281629999999999 | 09:44:59.741714 |
0.7969109999999999 | 09:45:00.538625 |
0.98442 | 09:45:01.523046 |
0.7812859999999999 | 09:45:08.960886 |
0.98442 | 09:45:09.945307 |
0.7969109999999999 | 09:45:10.742218 |
0.8750399999999999 | 09:45:11.617258 |
0.7812859999999999 | 09:45:12.398544 |
0.921917 | 09:49:44.223485 |
0.687531 | 09:57:38.260811 |
0.890666 | 09:57:39.151475 |
0.640654 | 09:57:39.792130 |
0.890666 | 09:57:44.745481 |
0.8281629999999999 | 09:59:00.873966 |
0.8750399999999999 | 09:59:01.749006 |
0.812537 | 09:59:17.374722 |
0.937543 | 09:59:18.312266 |
0.906291 | 09:59:30.140932 |
0.8437889999999999 | 09:59:30.984720 |
0.8750399999999999 | 09:59:31.859761 |
0.8750399999999999 | 10:01:47.647226 |
0.937543 | 10:01:48.584769 |
1.031297 | 10:01:49.616065 |
1.015671 | 10:01:50.631737 |
0.921917 | 10:03:53.621742 |
0.921917 | 10:03:54.543658 |
0.921917 | 10:03:55.465576 |
0.812537 | 10:03:56.278114 |
0.750034 | 10:03:57.028147 |
0.76566 | 10:04:26.185733 |
0.76566 | 10:04:26.951392 |
0.7969109999999999 | 10:04:27.748303 |
0.890666 | 10:12:26.332710 |
1.0938 | 10:12:27.426511 |
1.20318 | 10:16:27.656258 |