Impulse #1
An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
Raw Data
Classification (Keras)
28 (A, B, BACKSPACE, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, SPACE, T, U, V, X, Y, Z, unknown)
28 (A, B, BACKSPACE, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, SPACE, T ...
Show all features
Output features
28 (A, B, BACKSPACE, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, SPACE, T, U, V, X, Y, Z, unknown)
28 (A, B, BACKSPACE, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, SPACE, T, U, V, X, Y, Z, unknown)
Show all features
No data collected yet
You'll need some training data to design your first impulse.
