Seite - 29 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

3. Multisensor Sleep Monitoring System In order to try to determine the relationship between environment data and sleep structure and performance, a prototype was developed to monitor the diverse variables that allow the characterization of the sleep environment: temperature, humidity, light intensity, noise and air quality. Figure 2 outlines the developed prototype model. Figure 2. Multisensor sleep monitoring system architecture. The acquisition of data is based on an Arduino microcontroller, Arduino MEGA 2560, which receives data from diverse sensors of temperature, humidity, light, sound and various sensors of the MQ series: carbon monoxide gas (MQ-7), propane gas (MQ- 2), natural methane gas (MQ-4), liquefied isobutane propane gas (MQ-6), air quality (MQ-135) and carbon dioxide gas (MG811). Table 2 presents a description of the sensors considered for the characterization of the sleep environment. Table 2. Sensors used to characterize sleep environment Sensor Description Specification DHT22 Temperature and humidity sensor Temp. range: -40 to 80 ; resolution: 0.1 ; error: 0.5 Hum. range: 0-99.9RH; resolution: 0.1%RH; error: ±2%RH Sound level Analog sound sensor Max.input sound level: 115 dB Sensitivity: -56 dB (standard) Light Light Sensor Brick Photoresistor: 5-10 kohm (light intensity: 10lux) MQ-2 Smoke Gas LPG Butane Hydrogen Sensor Detectable concentration: 300-10000ppm Gas sensing material: SnO2 MQ-4 Natural Gas Methane Gas Sensor Module Detectable concentration: 300-10000ppm Gas sensing material: SnO2 MQ-6 Liquefied Isobutane Propane Sensor Module AO output: 0.1-0.3V (relatively clean), the highest concentration of voltage around 4V MQ-7 Carbon Monoxide Coal Gas Sensor Module Detection of concentration: 10-1000ppmCO AO output :0.1-0 .3 V (relatively clean), the highest concentration of voltage around 4V MQ-135 Air Quality Sensor Detection Module Sensing resistance: 30K -200K (100ppm NH3) Detecting concentration scope: 10ppm-300ppm (NH3, Alcohol), 10ppm-1000ppm (Benzene) MG811 Gas CO2 Carbon Dioxide Sensor Module Analog output 30~50mV, 350 - 10000 ppm CO2 Through a Bluetooth communication module (Bluetooth HC-06), the Arduino microcontroller sends the data received from the sensors to an android smartphone that, C.Gonçalvesetal. /MultisensorMonitoringSystem toEstablishCorrelations 29