Physiological measurements are collected from different sensors, which can have some form of contact with the user’s body or can be contact free. This data is packed into a chunk of data which includes the user identification, a timestamp indicating when the data was measured, and the data itself.
By receiving the physiological measurements data chunk, our system starts its windowing mechanism and waits for new data to be received. When enough data is available the preprocessing job will take control and pull enough data from the temporary datastore to enrich the Kenko algorithm.
For better performance and more accurate results, a pre processing phase must be executed on the selected data from the temporary datastore. This preprocessing phase “crunches” the data so our Kenko Algorithm will understand it and use it in the most efficient way possible.
The diagram can be divided into three different parts:
Other emotion analytics methods such as facial expression recognition or speech recognition stores built-in personalized information and has high vulnerability, as shown in Figure 1. Kenko technology utilize physiological data only, which can be stored anonymously and cannot be linked in any way to its source. We do not track the end-users’ personal information and any personal activity in all cases.
Since we do not store any personal data that is related to our end-users, we fully comply with GDPR and other data protection standards and regulations, and promise our customers full protection and confidence in our product.
Figure 1. Comparison of identifiable and unidentifiable biometric data
Kenko API and SDK provides a solution for organizations looking to compose “emotionally aware” applications, customized to internal policies on availability, security, and compliance requirements.
With Kenko API and SDK, the “heavy lifting” of understanding the user’s emotions is taken care of, allowing the organization to focus resources on the collection of physiological measurements and performing actions that corresponds to the user emotional situation represented by our algorithm.
Using our solution, individuals can become aware of their emotions in real-time and on an ongoing basis. However, each organization has its own requirements and needs. This is why we made Kenko available in two different forms: an online API and an offline SDK.
Kenko API: Turn your product “emotionally aware” in minimum effort, by integrating with our online API. It is a quick solution as the integration is easy, straight-forward and does not require any adjustments by both sides.
Kenko SDK: Compose “emotionally aware” applications, customized to your organization’s availability, security, and compliance requirements. The SDK is 100% offline and does not require connectivity whatsoever.
The diagram below illustrates the functionality available using our product.