In-Gauge and En-Gage: Understanding Occupants' Behaviour, Engagement, Emotion, and Comfort Indoors with Heterogeneous Sensors and Wearables 1.0.0
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IBI | Time |
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0.593777 | 10:30:18.244714 |
0.750034 | 10:32:24.437992 |
0.468771 | 10:34:49.866523 |
0.687531 | 10:34:57.429369 |
0.640654 | 10:34:58.070024 |
0.968794 | 10:36:41.809148 |
0.968794 | 10:36:42.777941 |
0.98442 | 10:36:43.762362 |
0.812537 | 10:36:44.574898 |
0.937543 | 10:36:48.700088 |
0.98442 | 10:36:49.684508 |
1.000046 | 10:36:50.684554 |
0.98442 | 10:36:51.668973 |
1.031297 | 10:36:52.700270 |
1.000046 | 10:36:53.700316 |
1.000046 | 10:36:54.700362 |
1.0938 | 10:36:55.794162 |
0.968794 | 10:38:01.297161 |
0.937543 | 10:38:02.234704 |
0.906291 | 10:38:21.641841 |
1.062549 | 10:38:22.704391 |
0.76566 | 10:38:23.470051 |
0.375017 | 10:39:25.004117 |
0.312514 | 10:39:25.316632 |
0.312514 | 10:39:25.629146 |
0.406269 | 10:39:26.035414 |
0.687531 | 10:40:20.991055 |
0.890666 | 10:50:06.674114 |
1.0938 | 10:50:07.767915 |
0.750034 | 10:50:08.517950 |
0.8750399999999999 | 10:51:57.710448 |
0.906291 | 10:52:02.054395 |
0.968794 | 10:52:21.008388 |
1.046923 | 10:52:22.055311 |
1.078174 | 10:52:23.133486 |
1.218806 | 10:52:24.352292 |
1.3906889999999998 | 10:52:29.743164 |
0.812537 | 10:52:34.305872 |
0.812537 | 10:53:36.480593 |
0.8437889999999999 | 10:53:43.590293 |
0.8594139999999999 | 10:53:57.981578 |
0.937543 | 10:53:58.919121 |
1.125051 | 10:54:00.044172 |
1.015671 | 10:54:01.059844 |
1.046923 | 10:54:02.106766 |
1.062549 | 10:54:03.169315 |
1.078174 | 10:54:08.122667 |
0.890666 | 10:54:18.341885 |
0.937543 | 10:54:19.279428 |
1.015671 | 10:54:25.310954 |
1.015671 | 10:54:26.326625 |
1.015671 | 10:54:27.342297 |
1.000046 | 10:54:28.342343 |
1.031297 | 10:54:29.373640 |
0.812537 | 10:54:30.186177 |
0.8594139999999999 | 10:54:31.045591 |
0.937543 | 10:54:31.983134 |
0.937543 | 10:54:32.920676 |
0.953169 | 10:54:33.873846 |
0.8437889999999999 | 10:54:54.577919 |
0.906291 | 10:54:55.484210 |
0.968794 | 10:54:56.453003 |
0.8281629999999999 | 10:57:42.382474 |
0.65628 | 10:57:43.038754 |
0.906291 | 10:57:47.788971 |
0.890666 | 10:57:48.679637 |
1.046923 | 10:57:49.726561 |
0.750034 | 10:57:50.476594 |
0.98442 | 10:57:51.461014 |
1.140677 | 10:57:52.601691 |
0.937543 | 10:57:53.539235 |
0.8750399999999999 | 10:57:54.414274 |
0.8594139999999999 | 10:57:55.273689 |
0.750034 | 10:57:56.023724 |
0.76566 | 10:57:56.789383 |