Systems and methods for contextualized interactions with an environment

A wearable electronic device comprising:

• a plurality of neuromuscular sensors configured to sense neuromuscular signals from a user, the plurality of neuromuscular sensors being arranged on at least one wearable device structured to be worn by the user to obtain the neuromuscular signals;
• at least one camera able to capture information about an environment;
• and
• at least one computer processor programmed to:
• generate a map of the environment based on map information about the environment captured by the at least one camera, the map information comprising information for controlling at least one controllable object in the environment, wherein the map information comprises map data representing a physical relationship between two or more controllable objects in the environment, and wherein the map includes a control interface that is specific to the environment, such that different maps for different environments include different control interfaces, and
• in response to a neuromuscular activity recognized from the neuromuscular signals sensed by the plurality of neuromuscular sensors:
• control the at least one controllable object using the environment-specific control interface to change from a first state to a second state according to the physical relationship;
• and
• detect a specific gesture from the neuromuscular activity, wherein the specific gesture designates a reference object within the environment, and wherein the generated map is identifiable from the designated reference object.

A computer-implemented method comprising:

• activating a plurality of neuromuscular sensors configured to sense neuromuscular signals from a user, the plurality of neuromuscular sensors being arranged on at least one wearable device structured to be worn by the user to obtain the neuromuscular signals;
• activating at least one camera able to capture information about an environment;
• generating a map of the environment based on map information about the environment captured by the at least one camera, the map information comprising information for controlling at least one controllable object in the environment, wherein the map information comprises map data representing a physical relationship between two or more controllable objects in the environment, and wherein the map includes a control interface that is specific to the environment, such that different maps for different environments include different control interfaces;
• and
• in response to a neuromuscular activity recognized from the neuromuscular signals sensed by the plurality of neuromuscular sensors:
• controlling the at least one controllable object using the environment-specific control interface to change from a first state to a second state according to the physical relationship;
• and
• detecting a specific gesture from the neuromuscular activity, wherein the specific gesture designates a reference object within the environment, and wherein the generated map is identifiable from the designated reference object.