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Process Management IoT service

Concentration Measurement by Environment Sensor

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IoT Sensors

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Overview

We introduce the evaluation of correlation between environmental information such as temperature and humidity and the concentration of desk job. We obtained environmental information from OMRON’s Environment Sensor and obtained concentration information from a device that measures brain waves. We compared both by a machine-learning tool, and we found that there was a correlation between environmental information and concentration of desk jobs.

These days all employers target to improve the efficiency of desk jobs. Some companies even try to constantly monitor the concentration of each employee in order to increase the productivity at work. The degree of concentration can be measured by brain waves, but it is challenging to always wear a device that measures brain waves. In order to verify if concentration can be measured without contacting any device to the head, we examined the possibility of estimating the degree of concentration from the environmental information such as temperature and humidity.
We used OMRON environment sensors in order to get environmental data. The Omron environment sensor can acquire various environmental information of a designated area in real time. The sensor outputs parameters such as temperature, humidity, light, UV, pressure, sound, VOC, acceleration, etc. This sensor can communicate with devices (smartphones, tablets, gateways, etc.) via Bluetooth Low Energy and USB2.0 communication interface. It is attractive because the quality is guaranteed, as it is a final product.

Designing a system to get data from the environment sensor

Omron Environment sensor has USB and Bluetooth communication protocols and can be connected to various gateways. In this case, considering the sensor to be used in large places such as an office; we used Cassia Bluetooth Router E1000 for our system. It extends the Bluetooth range up to 1000 feet in case of open space without requiring any change to the sensor.
We made an environmental data acquisition system using Cassia’s router.
Omron’s Environment sensor data is stored in Amazon S3 via Cassia router E1000.

Designing a system to get data from the environment sensor

Retrieving data from the environment sensor

The environment sensor is connected to PC’s USB port to power it. The subjects attached brain wave measurement devices to their heads to monitor brain waves.
While conducting normal desk jobs in the office, we acquired both brain waves information and environmental information.
Environment sensor information was stored on the AWS cloud. We used the data for temperature, humidity, light, barometric pressure, sound noise, eTVOC and eCO2 from cloud. The brain wave data obtained from the measurement device is added with the environmental data to create one CSV file containing all the data. In this case, we used β waves suitable for simple tasks and θ waves that shows creativity.

Analyze data

We performed data analysis using machine learning tool. We verified if there is a correlation between environmental information and brain waves that indicates the degree of concentration.
If the correlation value is 0.3 or higher, it can be determined that, there is a correlation between both the data’s.
Our analysis showed that Temperature, Humidity and eCo2 are correlated with β and θ waves.

Analyze data

Conclusion

We obtained environmental information from OMRON’s Environment Sensor and obtained concentration information from the device that measures the brain waves. We compared both with a machine-learning tool, and found that there is a correlation between environmental information and concentration information for desk jobs.

 

(Notes)
This case has no academic basis and is only an example of one experiment. Therefore, it does not guarantee the relationship between the degree of concentration and environmental information.

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