Magic Sensors: the enchanted Howlers of the tech world—they always tell you what’s wrong, loudly and repeatedly.

In a previous article, we mentioned that our Logiquill platform aims to help students unleash their potential using insightful information from their background, current aspirations and vision on the future. This type of data gives us the opportunity to build preliminary suggestions, but how can we make it more precise? 

For our creative minds, the first and obvious idea was to use wearable devices like smart rings and smartwatches to catch the physical metrics during the review sessions

Which metrics are available to fetch from the wearable devices? 

  • Daily physical activity (Sleep quality, number of steps, etc… ) 
  • Bio: Heart Rate, EKG, Blood pressure, Oxygenation,   Let me add a few details regarding Bluetooth devices: 

To demonstrate that type of integration during the event, we used a portable Pulse Oximeter to capture real-time health data )come and try it out by the way :)) 

This device has a built-in Bluetooth interface that exposes all available sensors, such as isFIngerExists, isCalibrated, BPM, Oxygenation, and Pleth. So, we can use HTML 5 API to make it work with our portal app to capture the health data during the students’ review session. The device uses the BCI protocol

Let us add a few details regarding Bluetooth devices: 

According to the specifications of the Bluetooth, each device must implement at least one service (Audio, UART, MediaPlayer Control, etc.). Each service can have its characteristics (Volume, Speed, weight, etc..). 

In our case, the Pulse Oximeter device has Service ID: 49535343-fe7d-4ae5-8fa9-9fafd205e455 and characteristic ID: 49535343-1e4d-4bd9-ba61-23c647249616. Here is an example of the JS code how to parse the Bluetooth packet: 

The final result looks like this and we are loving it! We hope you too 🙂  

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