MiniSoul

Aggressive tapping, a gentle caress, a deliberate tap. These are emotionally distinct interactions and I wanted the robot to respond to them differently.

The question was: how much hardware does that actually require?

I started with the simplest possible input, a single capacitive touch sensor. One sensing point. One time series of capacitance values.

Then I extracted basic features from each touch event: duration, peak value, mean, minimum, rise rate, fall rate, and area under the curve.

What I didn't expect was this

The three touch classes aggressive, caress, tap, separate cleanly in feature space. Especially on rise_rate and fall_rate (log scale). The information was always encoded in the shape of the signal. How fast the capacitance climbs. How fast it falls. How long it lingers.

A caress is slow in both directions. An aggressive touch hits hard and releases sharply. A tap is brief and decisive.

Needed such happiness for the recent hard days

Defined how the behaviour should affect the personality factors and how the mood would be changed

Interaction definition affecting personality factors


For tap

For Affection

For Aggression

Next thing to work on is classifying interaction using KNN along with some refactoring.