Techniques for adjusting operation of an electronic device

1. A method of adjusting operation of an electronic device, the method comprising:

while the electronic device is operating in a first operating mode, transmitting, by a radar transceiver of the electronic device to one or more processors, a set of signals based on received reflected radar signals, wherein the first operating mode comprises operating according to a first parameter;

receiving, by the one or more processors of the electronic device, the set of signals, the set of signals indicating an object in a room;

determining, by the one or more processors, that the room is occupied by analyzing the set of signals to identify the object as a person; and

in accordance with determining that the room is occupied by the person, adjusting the electronic device to operate in a second operating mode, wherein the second operating mode comprises operating according to a second parameter, the second parameter being suitable for sensing objects at a closer distance than the first parameter.

2. The method of claim 1 , wherein while the electronic device is operating in the second operating mode, the method further comprises:

analyzing, by the one or more processors using machine learning, the set of signals to detect a gesture performed by the person; and

adjusting the operation of the electronic device according to the gesture performed by the person.

3. The method of claim 1 , further comprising:

while the electronic device is operating in the second operating mode, analyzing, by the one or more processors, the set of signals to determine that the person is approaching the electronic device; and

in accordance with determining that the person is approaching the electronic device, adjusting the electronic device to operate in a surface-input mode, wherein the second operating mode is the surface-input mode.

4. The method of claim 3 , further comprising:

analyzing, by the one or more processors, the set of signals to:

determine, based at least in part on a drop in noise in the set of signals, that a hand of the person is in contact with a casing of the electronic device, and

detect a contact gesture made by the hand of the person in contact with the casing; and

performing a function corresponding to the contact gesture.

5. The method of claim 3 , further comprising:

analyzing, by the one or more processors, the set of signals to:

determine, based at least in part on a lack of movement by a hand of the person along a particular axis relative to a casing of the electronic device, that the hand of the person is in contact with the casing, and

detect a contact gesture made by the hand of the person in contact with the casing; and

performing a function corresponding to the contact gesture.

6. The method of claim 1 , wherein the electronic device is located in a room and operates in the first operating mode, and wherein the method further comprises:

analyzing, by the one or more processors, the set of signals to determine that a pet is approaching the electronic device, wherein in accordance with determining that the pet is approaching the electronic device, the electronic device remains in the first operating mode.

7. An electronic device comprising:

a radar transceiver configured to emit radar signals, receive reflected radar signals, and output a set of signals based on the reflected radar signals; and

one or more processors interfaced with the radar transceiver and configured to:

receive, from the radar transceiver, the set of signals, wherein the set of signals indicates an object in a room, wherein the set of signals is received while operating the electronic device in a first operating mode according to a first parameter,

determine that the room is occupied by analyzing the set of signals to identify the object as a person; and

in accordance with determining that the room is occupied by the person, adjust operation of the electronic device to a second operating mode, wherein:

the second operating mode comprises operating according to a second parameter, the second parameter being suitable for sensing objects at a closer distance than the first parameter.

8. The electronic device of claim 7 , wherein while the electronic device is operating in the second operating mode, the one or more processors is configured to:

analyze, by the one or more processors using machine learning, the set of signals to detect a gesture performed by the person, and

adjust the operation of the electronic device according to the gesture performed by the person.

9. The electronic device of claim 7 , wherein the one or more processors is further configured to:

while the electronic device is operating in the second operating mode, analyze the set of signals to determine that the person is approaching the electronic device, and

in accordance with determining that the person is approaching the electronic device, adjust the electronic device to operate in a surface-input mode, wherein the second operating mode is the surface-input mode.

10. The electronic device of claim 9 , further comprising:

a casing;

wherein the one or more processors is further configured to:

analyze the set of signals to:

determine, based at least in part on a drop in noise in the set of signals, that a hand of the person is in contact with the casing, and

detect a contact gesture made by the hand of the person in contact with the casing, and

perform a function corresponding to the contact gesture.

11. The electronic device of claim 9 , further comprising:

a casing;

wherein the one or more processors is further configured to:

analyze the set of signals to:

determine, based at least in part on a lack of movement by a hand of the person along a particular axis relative to the casing, that the hand of the person is in contact with the casing, and

detect a contact gesture made by the hand of the person in contact with the casing, and

perform a function corresponding to the contact gesture.

12. The electronic device of claim 7 , wherein the electronic device is located in the room and operates in a first operating mode, and wherein the one or more processors are further configured to:

analyze the set of signals to determine that a pet is approaching the electronic device, wherein in accordance with determining that the pet is approaching the electronic device, the electronic device remains in the first operating mode.

13. A non-transitory computer-readable storage medium storing instructions thereon that, when executed by one or more processors of an electronic device, cause the one or more processors to perform operations comprising:

while the electronic device is operating in a first operating mode, receiving a set of signals from a radar transceiver of the electronic device, the set of signals indicating an object in a room, wherein the first operating mode comprises operating according to a first parameter;

determining, by the one or more processors, that the room is occupied by analyzing the set of signals to identify the object as a person; and

in accordance with determining that the room is occupied by the person, adjusting operation of the electronic device to a second operating mode, wherein the second operating mode comprises operating according to a second parameter, the second parameter being suitable for sensing objects at a closer distance than the first parameter.

14. The non-transitory computer-readable storage medium of 13 , wherein while the electronic device is operating in the second operating mode, the instructions further cause the one or more processors to perform operations comprising:

analyzing, using machine learning, the set of signals to detect a gesture performed by the person; and

adjusting the operation of the electronic device according to the gesture performed by the person.

15. The non-transitory computer-readable storage medium of claim 13 , wherein the instructions further cause the one or more processors to perform operations comprising:

while the electronic device is operating in the second operating mode, analyzing the set of signals to determine that the person is approaching the electronic device; and

in accordance with determining that the person is approaching the electronic device, adjusting the electronic device to operate in a surface-input mode,. wherein the second operating mode is the surface-input mode.

16. The non-transitory computer-readable storage medium of claim 15 , wherein the instructions further cause the one or more processors to perform operations comprising:

analyzing the set of signals to:

determine, based at least in part on a drop in noise in the set of signals, that a hand of the person is in contact with a casing of the electronic device, and

detect a contact gesture made by the hand of the person in contact with the casing; and

performing a function corresponding to the contact gesture.

17. The non-transitory computer-readable storage medium of claim 13 , wherein the electronic device is located in a room and operates in a first operating mode, and wherein the instructions further cause the one or more processors to perform operations comprising:

analyzing the set of signals to determine that a pet is approaching the electronic device, wherein in accordance with determining that the pet is approaching the electronic device, the electronic device remains in the first operating mode.