MR Headset Flood LEDs for Low-Light Hand Gesture Detection
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Solution Overview
Problem
MR headsets face challenges in accurately detecting hand gestures due to insufficient lighting conditions, which affect the interaction precision and effectiveness in mixed-reality environments.
Innovation Solution
Integration of floodlight-emitting diodes (flood LEDs) with MR headsets to illuminate the interaction space, enhancing imaging sensor data quality and enabling precise hand gesture detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If imaging sensors are used to detect hand gestures in MR environments, then interaction capability is enabled, but detection accuracy deteriorates under insufficient lighting conditions
Solution Approach 1:
The system performs preliminary assessment of lighting conditions through the imaging sensors, and proactively activates flood LEDs before hand gesture detection fails. The processor monitors ambient light levels and triggers illumination in advance when insufficient lighting is detected, preventing detection failures rather than reacting after they occur.
Solution Approach 2:
Flood LEDs serve as an intermediary element between the imaging sensors and the hand gestures. Instead of the sensors directly struggling to capture images in poor lighting, the flood LEDs mediate by providing additional illumination that enables the sensors to successfully detect hand gestures across varying lighting conditions.
2Measurement precision
If flood LEDs are activated to improve lighting, then hand gesture detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The flood LED illumination system is dynamic rather than static. The processor continuously monitors lighting conditions and adjusts flood LED activation accordingly - turning them on when lighting is insufficient and off when lighting is adequate. This dynamic control optimizes energy consumption by activating illumination only when and where needed for accurate hand gesture detection.
Solution Approach 2:
The system changes the illumination parameter (activating flood LEDs) based on detected lighting conditions. When ambient light levels fall below a threshold, the processor changes the state of the flood LEDs from off to on, thereby adjusting the overall illumination parameter to maintain detection accuracy while minimizing unnecessary energy consumption.
3Reliability
If flood LEDs are integrated with MR headset, then interaction reliability in varying lighting conditions is improved, but device complexity increases
Solution Approach 1:
The flood LEDs are integrated into the existing MR headset structure, allowing the headset to serve multiple functions: presenting MR content, capturing images for hand gesture detection, and providing illumination when needed. This multi-functionality approach increases reliability across varying lighting conditions without proportionally increasing device complexity, as the illumination function is added to the existing headset platform.
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
Improves the accuracy and reliability of hand gesture detection in various lighting conditions, ensuring seamless interaction with MR content.
Implementation Method 1
floodlight-emitting diodes (flood LEDs) which may be mounted or otherwise integrated with an MR headset and which are able to illuminate a volume of physical space
Data Source
AI summary
An example MR headset is provided. The example MR headset comprises (i) a set of imaging sensors and (ii) a set of floodlight-emitting diodes (flood LEDs), the sets of imaging sensors and flood LEDs disposed along a front-facing portion of the MR headset. The MR headset includes one or more processors configured to, while the MR headset is being caused to present MR content, and in accordance with a determination that imaging data obtained from the set of imaging sensors has an insufficient level of detail to identify hand gestures, cause illumination, using one or more flood LEDs of the set of flood LEDs, of a volume of physical space that includes the hand of the user.