Camera Motion Compensation for Stable Gesture Detection
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Solution Overview
Problem
Wearable devices with cameras face challenges in accurately detecting gestures due to frequent movement, leading to misinterpretation or non-detection of gestures, and conventional methods require users to remain still, which is impractical.
Innovation Solution
Implementing a camera with motion sensing to analyze frame motion data, rejecting frames exceeding a threshold, adjusting frames within the threshold, or replacing them with duplicates to create a stable video stream for gesture detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional gesture detection methods are used in wearable devices, then the device can detect gestures when the user is still, but the user cannot move naturally during daily routines
Solution Approach 1:
The patent introduces an intermediary processing step between raw camera frames and gesture detection. Motion compensation algorithms act as a mediator that separates camera-induced motion from actual gesture motion, allowing accurate gesture detection even when the device is moving. This intermediary process analyzes motion vectors and compensates for device movement before gesture recognition occurs.
Solution Approach 2:
The patent segments the motion analysis into distinct components: device motion (captured by motion sensors) and gesture motion (captured by the camera). By separating these motion sources and processing them independently, the system can compensate for device movement while preserving gesture information, enabling natural user movement during operation.
2Adaptability or versatility
If the camera captures video while the device moves, then the device can be worn during daily activities, but all objects in the captured image appear to move making gesture detection problematic
Solution Approach 1:
The patent implements feedback loops where motion sensor data continuously informs camera frame processing. The system constantly monitors device motion and uses this feedback to adjust and compensate for camera movement in real-time. This closed-loop approach maintains accurate gesture detection throughout daily activities by continuously adapting to device movement.
Solution Approach 2:
The patent performs preliminary motion compensation before gesture detection occurs. By pre-processing video frames to remove device motion artifacts using motion sensor data and motion estimation algorithms, the system prepares clean, stable frames for subsequent gesture recognition, enabling accurate detection during natural device wear and movement.
3Measurement precision
If the user focuses on holding still to make accurate gestures, then gesture detection accuracy improves, but the user experience becomes impractical
Solution Approach 1:
The patent enables the system to self-correct for device movement without requiring user intervention. The motion compensation algorithms automatically analyze device motion and adjust video frames to compensate, eliminating the need for users to consciously hold the device still. This self-service approach maintains high gesture detection accuracy while allowing natural, convenient operation.
Data Source
AI summary
A method, system, apparatus, and/or device for adjusting or removing frames in a set of frames. The method, system, apparatus, and/or device may include: associating a first frame of a set of frames with motion data that is captured approximately contemporaneously with the first frame; when a sampling rate of the motion data is greater than a frame rate of the set of frames, aggregating a first sample of the motion data captured at the first frame and a second sample of the motion data captured between the first frame and a second frame of the set of frames to obtain a movement value; when the movement value does not exceed a first threshold value, accepting the first frame from the set of frames; and when the movement value exceeds the first threshold value, rejecting the first frame from the set of frames.