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CalmCast: Measuring and predicting calmness of smart building spaces

Current smart buildings cater for efficiency, but the users want to find spaces where they can be comfortable. CalmCast calculates and predicts space calmness and activity, helping users to find the ideal space suitable for their needs.


Most smart buildings, especially offices, have been optimized for efficiency and productivity. Open space layouts, hot seats, and easy room booking make for effortless and swift logistics, but leave the responsibility of finding a task appropriate work space to the office user. Have you ever hurried down the office hallways, looking for a quiet room to take that urgent and sensitive phone call? What if you knew exactly where to find the space, without having to look for it by going from door to door? With CalmCast, future smart office spaces could help the users increase their productivity and comfort by showing when different rooms are calm enough for relaxation or focus, and when they suit socializing and networking needs.

In order to broadcast and forecast the calmness of spaces, the activity must be measured. Calmness Index (CI) is a metric assessing how calm or active a space will be during a given time interval: for example right now, or an hour into the future.

The calmness measurement can be based on a variety of smart sensors such as human presence, sound levels, space temperature or light usage. The continuous sensor measurement makes a great basis for accurate calmness and activity forecasting.

The CalmCast solution was tested in a KEKO Proof of Concept project, between fall of 2020 and spring of 2021. During the PoC period, a Helsinki based office campus Maria01 was used as the CalmCast test environment, as it provided an excellent platform for the sensors vital for computing the Calmness Index. Within this test environment CalmCast was able to run in real time, and learn to predict the office’s calmness.

KEKO service provider Proximi.io took the calmness data into use in their KEKO Wayfinder application, which is available now in the Play store. The application helps people to find their way within the smart building by the assistance of lights installed in the space. In addition to that, the application now presents the calmness of each given space through a simple graphic interface.

In the future, KEKO smart buildings can utilize the calmness data and adapt the building accordingly. For example, the building can increase ventilation in rooms that are exceptionally active and make them more tolerable to users. Additionally, the space calmness data could be made available to other service providers from outside of KEKO, such as space reservation systems & wellness applications. These external service providers could then utilize the Calmness Index when recommending suitable working spaces to office users in different situations. Examples of possible applications and use cases for Calmness data:

1. Smart building information screens can display maps and levels of the building with current and predicted calmness for the next few hours.

2. Space reservation systems & calendars can show the predicted calmness during booking, and just before the appointment is about to begin.

3. Smart building lights can show space calmness and for example guide the user to the best suited meeting room they are looking for.

4. Personal wellness applications can show the predicted changes in space calmness and guide the user to a space that helps to keep their stress levels intact.

Company description:
Emblica is not your average data science team. We excel in custom made data solutions built with machine learning, data engineering and service design. We have a variety of AI projects under our belt from the fields of business intelligence, production & performance optimization and robotics. Innovative data utilization and R&D is where we thrive!

Vili Hätönen
Data scientist & Vice CEO