Dynamic wagering features based on number of active players

A method, comprising:

• causing gameplay graphics to be rendered by a user interface in accordance with game outcomes generated based on application of game rules to user inputs;
• receiving sensor data from a sensor embedded in a gaming device, wherein the sensor outputs a signal as the sensor data to electrically indicate a physical condition detected by the sensor;
• providing the sensor data to a machine learning model, wherein the machine learning model processes the sensor data and is trained to detect a number of players in proximity of the gaming device based on the sensor data;
• dynamically modifying the game rules in response to the machine learning model providing an output indicating, based on processing the sensor data, that the number of players positioned in proximity of the user interface is greater than one;
• generating additional game outcomes based on applying the modified game rules to user inputs;
• causing additional gameplay graphics and additional audio content to be provided by the user interface in response to the machine learning model providing the output indicating, based on processing the sensor data, that the detected number of players is greater than one, in accordance with the additional game outcomes, wherein the additional audio content is produced by at least one speaker to provide different audio outputs to each player in the identified number of players;
• and
• adjusting at least one of a position and size of input buttons in response to the machine learning model providing the output indicating, based on processing the sensor data, that the number of players is greater than one.

A gaming system, comprising:

• a processor;
• and
• memory coupled with the processor and storing instructions that, when executed by the processor, cause the processor to:
• receive sensor data from one or more sensors embedded in a gaming device, wherein the one or more sensors output a signal as the sensor data to provide an output corresponding to a physical condition detected by the one or more sensors;
• provide the sensor data to a machine learning model, wherein the machine learning model processes the sensor data and is trained to detect a number of players in proximity of the gaming device based on the sensor data;
• cause, through application of a first set of game instructions, first gameplay graphics to be rendered and first audio content to be provided by a user interface of a gaming device in response to the machine learning model providing an output indicating, based on processing the sensor data, that a single player is interacting with the user interface of the gaming device;
• and
• cause, though application of a second set of game instructions that are different from the first set of game instructions, second gameplay graphics to be rendered and second audio content to be provided by the user interface of the gaming device in response to the machine learning model providing the output indicating, based on processing the sensor data, that two or more players are interacting with the user interface of the gaming device, wherein the second gameplay graphics comprise at least one gameplay graphic that is not included in the first gameplay graphics, and wherein the second audio content provides different audio outputs to each of the two or more players.