Tailored Illumination Profile for Hand Tracking
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Solution Overview
Problem
Existing near-eye display devices, such as HMDs, face inefficiencies in power consumption due to unnecessary illumination of regions outside the interaction volume, leading to wasted power and reduced battery life in portable devices.
Innovation Solution
The illumination profile of the HMD device is optimized to match the predicted interaction volume and compensate for optical losses, using a tailored design that adjusts illumination intensity based on user hand locations and the device's hardware components, ensuring efficient illumination only where user interactions occur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the illumination module provides illumination to the entire field of view, then the depth camera system can capture the full environment, but power consumption increases due to unnecessary illumination of regions outside the interaction volume
Solution Approach 1:
The illumination module is configured to provide illumination with a tailored illumination profile that matches the predicted interaction volume, concentrating light intensity in regions where user hands are expected to be located during interaction, rather than uniformly illuminating the entire field of view. This localizes illumination quality to where it is most needed for hand tracking.
Solution Approach 2:
The illumination module provides illumination only to the predicted interaction volume rather than the complete field of view, using partial action to illuminate only the necessary region for hand tracking while avoiding excessive illumination of unused areas, thereby reducing overall power consumption.
2Measurement precision
If the illumination intensity is increased to compensate for optical losses, then signal quality improves, but power consumption increases
Solution Approach 1:
The illumination module dynamically adjusts illumination intensity parameters based on the predicted interaction volume and detected hand locations. The processor determines adjustments to illumination intensity that compensate for optical losses in specific regions while avoiding unnecessary power consumption, optimizing the balance between signal quality and energy usage.
Solution Approach 2:
The system uses feedback from depth camera measurements and hand location detection to dynamically adjust illumination intensity. The processor continuously monitors hand positions and modifies illumination parameters accordingly, ensuring optimal signal quality where needed while reducing power consumption in regions where hands are not present.
3Use of energy by moving object
If the illumination profile is tailored to match the interaction volume, then power consumption is reduced, but the illumination coverage area is limited
Solution Approach 1:
The illumination profile is dynamically adjusted based on predicted interaction volume and detected hand locations. Rather than using a fixed illumination pattern, the system adapts the illumination coverage and intensity in real-time to match where hands are actually located, optimizing the balance between power consumption and effective coverage area.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces power consumption by focusing illumination where it is needed, enhancing the depth camera system's performance and maintaining consistent signal quality, thereby improving hand tracking accuracy and extending battery life.
Implementation Method 1
a light source emits light onto nearby objects
Implementation Method 2
a ToF camera captures the light after it reflects off surfaces of the objects
Implementation Method 3
The time taken for the light to travel from the light source and to reflect back from an object to the ToF camera is converted, based on the known speed of light, into a depth measurement
Data Source
AI summary
Disclosed are a device and a method of hand tracking based on a tailored illumination profile. In some embodiments, the hand tracking device includes an illumination module, an imaging sensor and a processor. The illumination module provides an illumination profile that matches a predicted interaction volume within which a user of the near-eye display device is expected to place a body part of the user to interact with a user interface of the near-eye display device. The imaging sensor receives light reflected by an environment of the near-eye display device including the body part of the user and generates depth values corresponding to depths of the environment relative to the near-eye display device. The processor tracks a location of the body part of the user based on the depth values and determines an adjustment of an illumination intensity of the illumination module based on the location of the body part of the user.