Personal CO2 bubble: Context-dependent variations and wearable sensors usability

作者: Ali Ghahramani , Jovan Pantelic , Matthew Vannucci , Lorenza Pistore , Shichao Liu

DOI: 10.1016/J.JOBE.2018.11.015

关键词:

摘要: High CO2 concentration in inhaled air has been shown to negatively impact work performance and increase acute health symptoms. As respiratory is constantly exhaled, it may not dissipate surrounding absence of adequate movement instead re-inhaled into the airways (breathing a CO2-rich bubble). In this study, we explored impacts context-dependent factors such as office activities, desk settings, personal differences on inhalation zone concentrations at below-neck wearable sensor. While all were found significantly measurements both measuring points, settings (empty desk, with fan, laptop, monitor) was be most dominant factor. Presence small portable fan reduce concentration. On average, observed 177 ppm reduction when using which 25 higher than background measurement (650 ppm). Among 41 test subjects, distinct relationships between sensor and, by applying hierarchical clustering algorithm, 4 clusters relationships. sensors could used an exact measure for 29% identified boundary point (917 ppm) separating high low measurements.

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