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 |
---|---|
0.890666 | 11:25:16.996062 |
0.750034 | 11:25:17.746095 |
1.000046 | 11:25:18.746141 |
0.640654 | 11:25:28.777851 |
0.671906 | 11:25:29.449757 |
0.8281629999999999 | 11:25:30.277920 |
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0.7812859999999999 | 11:25:52.216423 |
0.921917 | 11:25:53.138340 |
0.750034 | 11:25:53.888375 |
0.8437889999999999 | 11:25:54.732163 |
0.8281629999999999 | 11:25:55.560327 |
0.7969109999999999 | 11:25:56.357239 |
0.7031569999999999 | 11:26:01.388719 |
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0.65628 | 11:26:10.123493 |
0.593777 | 11:26:10.717271 |
0.625029 | 11:26:11.342298 |
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0.640654 | 11:26:12.607981 |
0.671906 | 11:26:13.279887 |
0.687531 | 11:26:13.967420 |
0.750034 | 11:26:14.717453 |
0.76566 | 11:26:15.483114 |
0.718783 | 11:26:16.201896 |
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0.718783 | 11:26:17.686340 |
0.671906 | 11:26:18.358246 |
0.718783 | 11:26:19.077028 |
0.734409 | 11:26:19.811436 |
0.7031569999999999 | 11:26:20.514594 |
0.687531 | 11:26:21.202126 |
0.609403 | 11:26:21.811528 |
0.65628 | 11:26:31.811985 |
0.812537 | 11:26:32.624524 |
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0.7031569999999999 | 11:26:34.093341 |
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0.750034 | 11:26:52.281672 |
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0.890666 | 11:27:08.235528 |
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1.015671 | 11:36:03.010006 |
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0.65628 | 11:36:30.167500 |
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0.718783 | 11:36:32.698865 |
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0.750034 | 11:36:34.120805 |
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0.76566 | 11:37:47.717926 |
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0.750034 | 11:38:29.251076 |
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0.8437889999999999 | 11:38:31.548057 |
0.65628 | 11:38:32.204336 |
0.718783 | 11:38:32.923120 |
0.734409 | 11:38:33.657527 |
0.750034 | 11:38:34.407562 |
0.687531 | 11:38:35.095093 |
0.8281629999999999 | 11:38:35.923257 |
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0.750034 | 11:38:54.283473 |
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0.687531 | 11:38:59.986859 |
0.734409 | 11:39:00.721266 |
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0.906291 | 11:45:03.222235 |
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0.890666 | 11:45:17.894782 |
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0.8594139999999999 | 11:45:21.207433 |
0.76566 | 11:45:21.973093 |
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0.921917 | 11:45:23.723174 |
0.671906 | 11:47:12.556281 |
0.687531 | 11:47:19.744110 |
0.687531 | 11:47:26.244406 |
0.718783 | 11:47:26.963190 |
0.750034 | 11:47:50.526768 |
0.8594139999999999 | 11:47:51.386183 |
0.76566 | 11:47:52.151843 |
0.937543 | 11:47:53.089385 |
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0.76566 | 11:47:55.636378 |
0.8437889999999999 | 11:47:56.480165 |
0.7969109999999999 | 11:47:57.277077 |
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0.76566 | 11:47:59.652187 |
0.7969109999999999 | 11:48:00.449098 |
0.7812859999999999 | 11:48:01.230384 |
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0.76566 | 11:48:02.730453 |
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0.7812859999999999 | 11:48:56.811053 |
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0.640654 | 11:53:24.432677 |
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0.687531 | 12:04:43.995033 |