Sensing activation maps from eye data
Eye gaze data is generated by an eye-tracking module. One or more activation maps are generated by a sensing module based on the eye gaze data. The sensing module acquires sensor data based on the one or more activation maps.
1 . A head-mounted device (HMD) comprising:
an eye-tracking module configured to generate eye gaze data;
a sensing module configured to:
generate one or more activation maps based on the eye gaze data; and
acquire sensor data based on the one or more activation maps.
2 . The HMD of claim 1 , wherein the one or more activation maps include regions having different sampling densities.
3 . The HMD of claim 1 , wherein generating the one or more activation maps based on the eye gaze data includes:
generating a first activation map for a first sensor; and
generating a second activation map for a second sensor.
4 . The HMD of claim 3 , wherein the first sensor has a field of view (FOV) different from the second sensor.
5 . The HMD of claim 3 , wherein the first sensor is an image sensor and the second sensor is a time-of-flight sensor.
6 . The HMD of claim 1 , wherein the one or more activation maps include a first region that corresponds to an eye gaze direction in the eye gaze data, and wherein a sampling density of the first region is higher than a sampling density corresponding to at least one other region of the one or more activation maps.
7 . The HMD of claim 6 , wherein a size of the first region in the one or more activation maps is based on a measurement of error associated with the eye gaze direction included in the eye gaze data.
8 . The HMD of claim 1 , wherein the sensor data is received from at least one of a monochrome image sensor, a color image sensor, a depth sensor, or a time-of-flight sensor.
9 . A system comprising:
an eye-tracking module configured to generate eye gaze data;
a sensing module configured to:
generate one or more activation maps based on the eye gaze data; and
acquire sensor data based on the one or more activation maps.
10 . The system of claim 9 , wherein the one or more activation maps include regions having different sampling densities.
11 . The system of claim 9 , wherein generating the one or more activation maps based on the eye gaze data includes:
generating a first activation map for a first sensor; and
generating a second activation map for a second sensor.
12 . The system of claim 11 , wherein the first sensor has a field of view (FOV) different from the second sensor.
13 . A computer-implemented method comprising:
generating eye gaze data with an eye-tracking module;
generating, with a sensing module, one or more activation maps based on the eye gaze data; and
acquiring, with the sensing module, sensor data based on the one or more activation maps.
14 . The computer-implemented method of claim 13 , wherein the one or more activation maps include regions having different sampling densities.
15 . The computer-implemented method of claim 13 , wherein generating the one or more activation maps based on the eye gaze data includes:
generating a first activation map for a first sensor; and
generating a second activation map for a second sensor.
16 . The computer-implemented method of claim 15 , wherein the first sensor has a field of view (FOV) different from the second sensor.
17 . The computer-implemented method of claim 13 , wherein the sensing module is a foveated sensing module.
18 . The computer-implemented method of claim 13 , wherein the one or more activation maps include a first region that corresponds to an eye gaze direction in the eye gaze data, and wherein a sampling density of the first region is higher than a sampling density corresponding to at least one other region of the one or more activation maps.
19 . The computer-implemented method of claim 18 , wherein a size of the first region in the one or more activation maps is based on a measurement of error associated with the eye gaze direction included in the eye gaze data.
20 . The computer-implemented method of claim 13 , wherein the sensor data is received from at least one of a monochrome image sensor, a color image sensor, a depth sensor, or a time-of-flight sensor.