SYSTEM AND METHOD FOR SENSOR FUSION FROM A PLURALITY OF SENSORS AND DETERMINATION OF A RESPONSIVE ACTION

1 . A method for determining a responsive action based on sensor fusion, comprising:

performing a sensor fusion on data received from a plurality of sensors to produce output fusion data;

analyzing the output fusion data to determine one or more potential actionable scenarios to be selected;

determining if the one or more potential actionable scenarios are to be executed; and

sending commands to one or more resources to perform the one or more potential actionable scenarios.

2 . The method of claim 1 , wherein the sensor fusion further comprises:

applying predetermined models or algorithms that allow for an output of data having minimized uncertainty compared to the data received from the plurality of sensors.

3 . The method of claim 1 , wherein the plurality of sensors includes at least one of: an accelerometer, a temperature gauge, a humidity sensor, a microphone, a light sensitivity detector, and a camera.

4 . The method of claim 1 , wherein the sensor fusion is performed using a machine learning technique.

5 . The method of claim 4 , wherein the machine learning technique includes at least one of: a neural network, a recurrent neural network, decision tree learning, a Bayesian network, and clustering.

6 . The method of claim 1 , wherein the data received from a plurality of sensors includes data relating to a human-machine interaction.

7 . The method of claim 1 , wherein the data received from a plurality of sensors is data related to a conversation occurring between two individuals, and wherein the one or more potential actionable scenarios include an intervention in the conversation.

8 . The method of claim 7 , wherein the intervention includes providing instructions to an individual.

9 . The method of claim 8 , wherein the instructions include at least one of: an auditory instruction and a visual instruction.

10 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:

performing a sensor fusion on data received from a plurality of sensors to produce output fusion data;

analyzing the output fusion data to determine one or more potential actionable scenarios to be selected;

determining if the one or more potential actionable scenarios are to be executed; and

sending commands to one or more resources to perform the one or more potential actionable scenarios.

11 . A system for determining a responsive action based on sensor fusion, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

perform a sensor fusion on data received from a plurality of sensors to produce output fusion data;

analyze the output fusion data to determine one or more potential actionable scenarios to be selected;

determine if the one or more potential actionable scenarios are to be executed; and

send commands to one or more resources to perform the one or more potential actionable scenarios.

12 . The system of claim 11 , wherein the system is further configured to:

apply predetermined models or algorithms that allow for an output of data having minimized uncertainty compared to the data received from the plurality of sensors.

13 . The system of claim 11 , wherein the plurality of sensors includes at least one of: an accelerometer, a temperature gauge, a humidity sensor, a microphone, a light sensitivity detector, and a camera.

14 . The system of claim 11 , wherein the sensor fusion is performed using a machine learning technique.

15 . The system of claim 14 , wherein the machine learning technique includes at least one of: a neural network, a recurrent neural network, decision tree learning, a Bayesian network, and clustering.

16 . The system of claim 11 , wherein the data received from a plurality of sensors includes data relating to a human-machine interaction.

17 . The system of claim 11 , wherein the data received from a plurality of sensors is data related to a conversation occurring between two individuals, and wherein the one or more potential actionable scenarios include an intervention in the conversation.

18 . The system of claim 17 , wherein the system is further configured to:

provide instructions to an individual.

19 . The system of claim 18 , wherein the instructions include at least one of: an auditory instruction and a visual instruction.