Systems and methods for virtual and augmented reality
Disclosed herein are systems and methods for distributed computing and/or networking for mixed reality systems. A method may include capturing an image via a camera of a head-wearable device. Inertial data may be captured via an inertial measurement unit of the head-wearable device. A position of the head-wearable device can be estimated based on the image and the inertial data via one or more processors of the head-wearable device. The image can be transmitted to a remote server. A neural network can be trained based on the image via the remote server. A trained neural network can be transmitted to the head-wearable device.
1. A method comprising:
capturing, via a camera of a head-wearable device, an image;
capturing, via an inertial measurement unit of the head-wearable device, inertial data;
estimating, via one or more processors of the head-wearable device, a position of the head-wearable device based on the image and the inertial data;
estimating, via one or more processors of the head wearable device, an orientation of a handheld device based on the image;
transmitting the image and estimated orientation of the handheld device to a server that is remote to the head-wearable device, such that the server, in response to receiving the image and estimated orientation of the handheld device, trains a neural network based on the image to produce a trained neural network; and
receiving, at the head-wearable device from the server, the trained neural network.
2. The method of claim 1 , wherein transmitting the image to the server comprises transmitting the image to an intermediary relay.
3. The method of claim 2 , wherein the intermediary relay comprises a drone network.
4. The method of claim 2 , wherein the intermediary relay comprises a communications array, wherein the communications array is mountable on a person.
5. The method of claim 2 , wherein the head-wearable device is a first head-wearable device, and wherein the intermediary relay comprises a second head-wearable device.
6. The method of claim 2 , wherein the intermediary relay comprises a cellular tower.
7. A system comprising:
a camera of a head-wearable device;
an inertial measurement unit of the head-wearable device;
a server that is remote to the head-wearable device;
one or more processors configured to execute a method comprising:
capturing, via the camera of the head-wearable device, an image;
capturing, via the inertial measurement unit of the head-wearable device, inertial data;
estimating, via one or more processors of the head-wearable device, a position of the head-wearable device based on the image and the inertial data;
estimating, via one or more processors of the head wearable device, an orientation of a handheld device based on the image;
transmitting the image and estimated orientation of the handheld device to the server, such that the server, in response to receiving the image and estimated orientation of the handheld device, trains a neural network based on the image and estimated orientation of the handheld device to produce a trained neural network; and
receiving, at the head-wearable device from the server, the trained neural network.
8. The system of claim 7 , wherein transmitting the image to the server comprises transmitting the image to an intermediary relay.
9. The system of claim 8 , wherein the intermediary relay comprises a drone network.
10. The system of claim 8 , wherein the intermediary relay comprises a communications array, wherein the communications array is mountable on a person.
11. The system of claim 8 , wherein the head-wearable device is a first head-wearable device, and wherein the intermediary relay comprises a second head-wearable device.
12. The system of claim 8 , wherein the intermediary relay comprises a cellular tower.
13. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to execute a method comprising:
capturing, via a camera of a head-wearable device, an image;
capturing, via an inertial measurement unit of the head-wearable device, inertial data;
estimating, via one or more processors of the head-wearable device, a position of the head-wearable device based on the image and the inertial data;
estimating, via one or more processors of the head wearable device, an orientation of a handheld device based on the image;
transmitting the image and estimated orientation of the handheld device to a server that is remote to the head-wearable device, such that the server, in response to receiving the image and estimated orientation of the handheld device, trains a neural network based on the image and estimated orientation of the handheld device to produce a trained neural network; and
receiving, at the head-wearable device from the server, the trained neural network.
14. The non-transitory computer-readable medium of claim 13 , wherein transmitting the image to the server comprises transmitting the image to an intermediary relay.
15. The non-transitory computer-readable medium of claim 14 , wherein the intermediary relay comprises a drone network.
16. The non-transitory computer-readable medium of claim 14 , wherein the intermediary relay comprises a communications array, wherein the communications array is mountable on a person.
17. The non-transitory computer-readable medium of claim 14 , wherein the head-wearable device is a first head-wearable device, and wherein the intermediary relay comprises a second head-wearable device.
18. The non-transitory computer-readable medium of claim 14 , wherein the intermediary relay comprises a cellular tower.