mint depot
I'm creating a capacitive sensor that detects the gestures of each finger with a glove. I have created 5 capacitive sensors with 5 electrodes. I'd like to train an ML model to recognize the peaks corresponding to each finger (a unique model because finger movement is the same). Here's the type of graph I get when I tap between my thumb and another finger, so I'd like my ML model to detect the frequency peaks in real time (the data arrives in real time via my computer's serial port: I'm thinking of using a Bluetooth module). How can I train this model? and above all, after creating the dataset, how can I detect these peak patterns in real time? I'm open to any help
neat cave
twilit lodge