Hey since you haven't specified what type of data you are working with exactly I'll just share a few relevant resources which should be helpful
A useful example of classifying ECG singals:
Some additional resources:
- https://in.mathworks.com/help/deeplearning/ug/train-network-on-data-set-of-numeric-features.html
- This example employs classical ML approach, should be transferrable to a CNN architecture with an idea of how to use sensor data
- https://in.mathworks.com/help/signal/ug/human-activity-recognition-using-signal-feature-extraction-and-machine-learning.html
- A MathWorks documented paper on Deep Learning for Signal Data:
- https://in.mathworks.com/content/dam/mathworks/white-paper/gated/deep-learning-for-signal-white-paper.pdf
- An example of processing 1D Temporal Data:
- https://in.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-1-d-convolutions.html
