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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0.578151 | 10:21:19.037414 |
0.484397 | 10:21:28.365966 |
0.921917 | 10:22:22.180928 |
0.921917 | 10:23:01.213965 |
1.140677 | 10:23:02.354643 |
0.812537 | 10:23:03.167180 |
0.8437889999999999 | 10:23:26.136981 |
1.031297 | 10:27:09.787843 |
0.8750399999999999 | 10:27:10.662883 |
0.7969109999999999 | 10:27:20.194570 |
0.812537 | 10:27:38.289148 |
0.625029 | 10:27:38.914176 |
0.8281629999999999 | 10:27:39.742340 |
0.8281629999999999 | 10:27:40.570502 |
0.8281629999999999 | 10:28:42.948358 |
0.8437889999999999 | 10:29:38.544652 |
1.000046 | 10:29:46.513767 |
0.7812859999999999 | 10:29:47.295053 |
0.906291 | 10:29:48.201344 |
0.718783 | 10:30:37.297343 |
0.76566 | 10:31:17.892951 |
0.7969109999999999 | 10:31:18.689862 |
0.906291 | 10:31:19.596153 |
0.968794 | 10:31:20.564948 |
0.906291 | 10:31:21.471240 |
0.671906 | 10:36:06.640542 |
0.562526 | 10:36:07.203068 |
0.500023 | 10:36:07.703092 |
1.046923 | 10:36:40.595221 |
0.7812859999999999 | 10:37:58.848803 |
0.609403 | 10:39:45.634942 |
0.734409 | 10:40:10.276695 |
0.906291 | 10:40:11.182986 |
0.750034 | 10:40:11.933021 |
0.8750399999999999 | 10:41:02.279074 |
0.7031569999999999 | 10:41:02.982233 |
0.7812859999999999 | 10:41:03.763518 |
0.687531 | 10:41:53.422040 |
0.8437889999999999 | 10:46:25.747006 |
0.7812859999999999 | 10:46:26.528292 |
0.76566 | 10:46:27.293952 |
0.671906 | 10:47:08.373958 |
0.640654 | 10:47:09.014611 |
1.046923 | 10:49:39.584005 |
1.500069 | 10:49:41.084074 |
0.937543 | 10:50:18.179522 |
0.8437889999999999 | 10:51:55.949621 |
0.640654 | 10:51:56.590276 |
0.8437889999999999 | 10:51:57.434065 |
0.734409 | 10:52:34.576390 |
0.671906 | 10:52:35.248296 |
0.8594139999999999 | 10:52:36.107709 |
0.8594139999999999 | 10:53:15.906407 |
0.3906429999999999 | 10:54:55.801604 |
0.734409 | 10:55:09.864748 |
0.7969109999999999 | 10:56:59.479140 |
0.890666 | 10:57:00.369807 |
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0.921917 | 10:57:48.497009 |
0.8750399999999999 | 10:57:49.372050 |
0.937543 | 10:57:50.309592 |
0.921917 | 10:57:51.231509 |
0.968794 | 10:57:52.200304 |
0.968794 | 10:57:53.169099 |
0.8281629999999999 | 10:57:53.997262 |
0.906291 | 10:57:54.903553 |
0.8594139999999999 | 10:57:55.762967 |
0.98442 | 10:57:56.747386 |
0.953169 | 10:57:57.700556 |
0.953169 | 10:57:58.653724 |