Hi Natt,
I assume that you have a script or function that collects/generates real time data in MATLAB. To process real-time data with a pretrained neural network in MATLAB and communicate predictions to an HC-05 Bluetooth module, you can refer to the workflow mentioned here.
You can begin by loading the neural network model and get predictions from your real-time data as needed:
load('model.mat'); % Replace with your NN model file
processedData = preprocessData(realTimeData); % Define this function as/if needed
prediction = model(processedData);
To establish a communication link between MATLAB and the HC-05 Bluetooth module, it is required that the module is configured in 'slave' mode. This configuration enables the MATLAB instance, acting as the 'master', to initiate the connection. The computer in use must be equipped with a Bluetooth adapter that is compatible with the Bluetooth Serial Port Profile (SPP).
You can use the following snippet to establish the connection:
hc05 = bluetooth("HC-05", 1); % ‘1’ denotes the channel number
pause(2); % Pause for 2 seconds
You can refer to a detailed example on how to connect to HC-06 module over Bluetooth in following documentation page: https://www.mathworks.com/help/matlab/import_export/communicate-with-hc-06-over-bluetooth.html
The workflow requires the data to be transferred serially, hence you would typically need a loop to iterate over the dataset and send each piece individually through the Bluetooth connection.
Some important pointers related to initializing HC-05 to Arduino connection can be found in the MATLAB Answer given below:
For further steps for communicating to Bluetooth module, please refer Read and Write functions in the following documentation page:
I hope it helps!
