Surface detection for micromobility vehicles

A micromobility (MM) vehicle comprising:

• a body at least partially containing:
• a platform for supporting a user, at least one wheel, and a motor coupled with the at least one wheel;
• and
• a controller in communication with a sensor on a device and configured to regulate the motor, wherein the controller is programmed to:
• compare:
• i) detected movement of the device located with the user at the MM vehicle while operating the MM vehicle, with ii) a surface detection classifier for the MM vehicle,
• wherein the device includes a wearable audio device and wherein the movement is detected by the sensor,
• wherein the surface detection classifier includes at least two distinct models including a) a model of a human user damping system and reaction of the human user damping system to vibration, and b) a model of the MM vehicle damping system and reaction of the MM vehicle damping system to vibration, wherein model (a) includes individual system components including human biological system components,
• wherein the surface detection classifier includes correlations between sensor data about movement of the wearable audio device, and travel surface types, and
• wherein comparing the detected movement of the device with the surface detection classifier for the MM vehicle is performed without knowledge of a geographic location of the MM vehicle or the user;
• and
• in response to detecting that the MM vehicle is traveling on a restricted surface type for a threshold period, performing at least one of:
• a) notify the user of the MM vehicle about the travel on the restricted surface type, b) output a warning at an interface connected with the MM vehicle or the device, c) limit a speed of the MM vehicle, or d) disable operation of the MM vehicle.

A method of training a surface detection classifier for a micromobility (MM) vehicle, the method comprising:

• obtaining sensor data from a set of wearable audio devices worn by users of MM vehicles about travel along a route;
• obtaining tagged image data comprising tagged images of the set of MM vehicles traveling along the route;
• and
• assigning a sensor threshold indicating that the MM vehicle is traveling on a surface type based on correlations between the sensor data from the wearable audio devices about travel along the route and the tagged images of the MM vehicles,
• wherein the surface detection classifier includes at least two distinct models including a) a model of a human user damping system and reaction of the human user damping system to vibration, and b) a model of the MM vehicle damping system and reaction of the MM vehicle damping system to vibration, wherein model (a) includes individual system components including human biological system components, and
• wherein the surface detection classifier is independent of a known geographic location of the MM vehicle or the user.