Stabilizing Body-Mounted Video via Involuntary Eye Movements
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Solution Overview
Problem
Videos captured by body-mountable cameras, such as head-mounted displays, often become shaky due to wearer motion, leading to instability, which existing technologies fail to adequately address.
Innovation Solution
The method involves using gaze-direction data from eye trackers to detect involuntary orbital eye-movements and stabilize the video by correlating this data with motion sensor data from gyroscopes or accelerometers, dynamically adjusting the video capture to match the user's focused gaze, thereby stabilizing the footage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If body-mountable cameras are used for video capture, then portability and hands-free operation are improved, but video stability deteriorates due to wearer motion
Solution Approach 1:
The system uses eye tracking data as feedback to detect involuntary orbital eye movements, then applies stabilization algorithms to counteract these movements. The feedback loop continuously monitors eye position and adjusts the video output to maintain stability despite head and eye movements during hands-free operation.
Solution Approach 2:
The patent introduces eye tracking technology as an intermediary mechanism between the wearer's natural eye movements and the video capture system. By detecting orbital eye movements through eye trackers and using this data to stabilize the video, the system mediates the conflict between hands-free operation and video stability.
2Area of stationary object
If head-mounted displays are used for near-eye display, then field of view coverage is improved, but video stability deteriorates due to head movements
Solution Approach 1:
The system continuously receives feedback from eye trackers about the wearer's gaze direction and orbital eye movements. This feedback is used to dynamically stabilize the video feed, allowing the head-mounted display to provide wide field of view coverage while maintaining video stability despite head and eye movements.
Solution Approach 2:
The stabilization system is dynamic, continuously adapting to the wearer's movements. By detecting orbital eye movements in real-time and adjusting the video stabilization parameters accordingly, the system maintains stability across varying head positions and fields of view.
3Stability of the object's composition
If existing stabilization technologies are used, then some video stability is improved, but they fail to adequately address shakiness caused by involuntary eye movements
Solution Approach 1:
The system uses eye tracking feedback to detect involuntary orbital eye movements that cause video shakiness. By incorporating this specific feedback mechanism, the system reliably identifies and corrects stabilization issues that existing technologies miss, significantly improving the adequacy of video stabilization.
Solution Approach 2:
The eye tracking system serves itself by using the wearer's natural eye movements as the basis for stabilization. The system automatically detects orbital movements and applies appropriate corrections without requiring external input, making the stabilization reliable and self-adapting to individual wearer characteristics.
Data Source
AI summary
Methods and systems for using eye-tracking data to stabilize a video are provided. An example method may involve receiving a video captured using a body-mountable camera and receiving gaze-direction data from one or more head-mountable eye trackers. Additionally, the method may include analyzing the received gaze-direction data to detect at least one involuntary orbital eye-movement. According to the method, the received video may be stabilized based at least in part on the detected at least one involuntary orbital eye-movement, and the stabilized video may be sent In some instances, camera-movement data may also be received and utilized to detect involuntary orbital eye-movements or stabilize the received video.