Grooming appliance or household cleaning appliance

A method for operating an electric toothbrush, comprising:

• providing an oral examination device, which includes:
• at least one motion sensor taken from a group consisting of:
• an orientation sensor, an acceleration sensor, and an inertial sensor, and
• a camera;
• classifying data received from the motion sensor and from the camera using a deep learning
• neural network classifier to generate an augmented classification including a surface condition of a user's dentition, wherein the dentition is separated into at least 16 different dental zones;
• providing user feedback information based upon the augmented classification,
• wherein the augmented classification pertains to a combination of a first state pertaining to a position of the oral examination device with respect to the user's dentition and also pertains to a second state pertaining to the surface condition;
• and
• using the augmented classification to modify operation of the electric toothbrush;
• wherein the classifying data step further comprises:
• receiving, at the deep learning neural network, the data from the motion sensor;
• and mapping, with the deep learning neural network, the data from the motion sensor to one of
• at least 16 different motion patterns;
• wherein each one of the at least 16 different motion patterns is associated with a respective one of the at least 16 different dental zones;
• wherein the mapping step comprises outputting, from the deep learning neural network, a probability value that the data from the motion sensor maps to each of the at least 16 different motion patterns such that the probability values for each of the at least 16 different motion patterns indicates a probability that the oral examination device is in one of the 16 different dental zones that corresponds to each respective motion pattern.