REDUCED RESOLUTION TIME-OF-FLIGHT SHAPE RECOGNITION

1 . A method of recognizing a shape using a multizone time-of-flight (ToF) sensor, the method comprising:

receiving, by a processor, ToF data indicating an object located within a field of view of the multizone ToF sensor, the ToF data comprising a two-dimensional array of zone data, each of the zone data corresponding to a zone of the field of view of the multizone ToF sensor and comprising distance information and additional signal information; and

recognizing, by the processor, the object as the shape using the distance information and the additional signal information of the two-dimensional array.

2 . The method of claim 1 , wherein each dimension of the two-dimensional array is less than or equal to 16.

3 . The method of claim 2 , wherein the two-dimensional array is an 8 by 8 array.

4 . The method of claim 1 , wherein the ToF data corresponds to a single frame measured by the multizone ToF sensor.

5 . The method of claim 1 , further comprising:

determining, by the processor, the closest zone in the ToF data using the distance information of the zone data; and

ignoring the ToF data if the closest zone is outside a predetermined distance range.

6 . The method of claim 1 , further comprising:

determining, by the processor, the closest zone in the ToF data using the distance information of the zone data; and

ignoring the ToF data if the closest zone is outside a valid area of a frame of the ToF data, the valid area comprising a predetermined range for both dimensions of the two-dimensional array.

7 . The method of claim 1 , further comprising:

determining, by the processor, the closest zone in the ToF data using the distance information of the zone data;

invalidating, by the processor, each zone that is farther from the closest zone than a predetermined gap distance; and

setting, by the processor, the zone data of each of the invalid zones to default values.

8 . A method of recognizing a shape using a multizone time-of-flight (ToF) sensor, the method comprising:

receiving, by a processor, ToF data indicating an object located within a field of view of the multizone ToF sensor, the field of view being divided into zones, the ToF data comprising signal information corresponding to each zone of the field of view of the multizone ToF sensor;

filtering, by the processor, the ToF data through an artificial intelligence (AI) model to create AI output data; and

recognizing, by the processor, the object as the shape using the AI output data.

9 . The method of claim 8 , wherein the ToF data corresponds to a single frame measured by the multizone ToF sensor.

10 . The method of claim 8 , further comprising:

measuring, by the multizone ToF sensor, new ToF data of a user displaying a new shape;

labeling the new ToF data as the new shape; and

training the AI model using the labeled new ToF data.

11 . The method of claim 8 , wherein the AI model is a convolutional neural network (CNN).

12 . The method of claim 8 , wherein the signal information corresponding to each zone comprises a distance value determined according to raw signal data measured by the multizone ToF sensor.

13 . The method of claim 12 , wherein the signal information corresponding to each zone further comprises the raw signal data.

14 . The method of claim 12 , wherein the signal information corresponding to each zone further comprises a signal peak value.

15 . The method of claim 8 , wherein the signal information corresponding to each zone is raw signal data measured by the multizone ToF sensor.

16 . A shape recognition device comprising:

a multizone time-of-flight (ToF) sensor comprising a field of view divided into zones and configured to generate ToF data indicating an object located within the field of view of the multizone ToF sensor; and

a processor coupled to the multizone ToF sensor, the processor being configured to

receive the ToF data from the multizone ToF sensor, the ToF data comprising signal information corresponding to each zone of the field of view of the multizone ToF sensor,

filter the ToF data through an artificial intelligence (AI) model to create AI output data, and

recognize the object as a shape using the AI output data.

17 . The shape recognition device of claim 16 , wherein the zones of the field of view of the multizone ToF sensor are arranged as a single 8 by 8 array.

18 . The shape recognition device of claim 16 , wherein the processor is a microcontroller.

19 . The shape recognition device of claim 18 ,

wherein the processor comprises a nonvolatile integrated memory, and

wherein the processor is further configured to filter the ToF data and identify the object as the shape by executing instructions stored entirely in the nonvolatile integrated memory.

20 . The shape recognition device of claim 16 , wherein the multizone ToF sensor is a direct ToF sensor.