In the previous posts, we explained our project, as well as the technical and scientific foundations. We also pointed out that a thermal energy transfer sensor embedded in a wearable device is not enough. It is far from enough. We need to crunch the data into metrics that makes sense. And for that, we need an algorithm.
It’s all about the algorithm
An algorithm is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to perform a computation. In our case, the algorithm is based on artificial intelligence models that learn from the incoming sensor data. The more data we feed in the more accurate the result will be – a result which will help people improving their sports performance.
This takes a lot of work, data, and physiological trials. But in the end, we have a mathematical system that analyses the sensor data in real-time and, from this, calculates the core-body temperature.
What does it take?
Physiological trials are the best way to assess the performance of the thermal energy transfer sensor: we learn how the system works on a real body, and develop an algorithm that will be accurate and responsive under live conditions. Briefly said, we are adjusting the whole wearable under controlled conditions before being able to run more advanced tests.
Physiological trials take time and resources. At CORE, we are following a clear method:
- Choosing the right volunteers for the testing. As the algorithm should work under every condition, we have created a testing matrix to cover as many situations as we can. This will be the best proof-of-work for our device.
- We want also to figure out the best way to make the sensor work on the human body. Because of this, during the testing, volunteers are wearing both a body patch and a smartwatch with our sensor embedded.
- The data taken needs to be compared with a reference system that we know is accurate and reliable. In our case, all the testing volunteers also ingest an electronic pill that tracks the core body temperature in real-time.
- We are gathering information before, during, and after physical exercise. Volunteers work out for 1+ hours indoors. After a shower, we reattach the sensors and track the cool-down process.
We are currently in the alpha phase of testing. We plan to perform numerous tests with different volunteers, fulfilling the requirements specified in our matrix. Continued testing is simply a necessity as this enables us to continually improve and ensure we can provide accurate data for all situations so for this reason we welcome enquiries.
In addition to continually fine-tuning the algorithm, we are also working on the features of CORE to ensure it matches the real needs and wishes of people who will use it. Even with the important applications and value for workplace protection and health, in essence CORE was created as we saw the opportunity for sports people. This reflects heavily on our DNA so if you feel a strong connection - then reach out and connect.