Sensor-Driven Image Playback Adjustment
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Solution Overview
Problem
Users are limited in navigating sequences of images, often requiring manual selection of user interface elements or gestures to move forward or backward, which can be cumbersome and do not effectively replicate the original capture experience.
Innovation Solution
Capturing sensor data during image capture, such as location, orientation, and movement, allows for dynamic playback adjustments, enabling users to navigate images based on correlated movements during capture and playback, using sensors like GPS, gyroscopes, and accelerometers to enhance the viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user interface elements or gestures are used to navigate images, then users can control image playback, but navigation becomes cumbersome and does not replicate the original capture experience
Solution Approach 1:
The system automatically adjusts image playback based on sensor data without requiring manual user input. The device serves itself by using previously captured sensor data to determine playback speed, pausing, and navigation, eliminating the need for users to manually select UI elements or perform gestures.
Solution Approach 2:
The system uses feedback from captured sensor data (accelerometer, gyroscope, GPS) to dynamically adjust playback behavior. By comparing current sensor readings with previously captured sensor data, the system automatically determines appropriate playback actions, creating a closed-loop control system that enhances ease of operation.
2Adaptability or versatility
If sensor data is captured and processed to enable dynamic playback adjustments, then playback becomes more immersive and intuitive, but system complexity increases
Solution Approach 1:
Sensor data is captured and stored during the image capture phase, before playback occurs. This preliminary action prepares the data in advance, so that during playback, the system only needs to retrieve and compare pre-captured sensor data with current sensor data, reducing real-time processing complexity while maintaining high adaptability.
Solution Approach 2:
The sensor processing system uses multiple sensors (accelerometer, gyroscope, GPS) that serve multiple functions: capturing motion data during image capture, providing orientation information, and enabling various playback modes. This multi-functionality increases versatility without proportionally increasing system complexity.
3Extent of automation
If images are displayed automatically in sequence, then playback is simple to implement, but user control and immersion are reduced
Solution Approach 1:
The playback system transitions from static automatic sequencing to dynamic sensor-driven control. Playback speed, pausing, and navigation are dynamically adjusted based on real-time sensor data comparison, allowing the system to automatically replicate the original capture experience while maintaining user control through intuitive sensor-based interactions.
Data Source
AI summary
Technologies are described herein for capturing a sequence of images and for capturing sensor data at or around the time the images are captured. The sensor data is associated with the sequence of images. During a playback time of the images, additional sensor data is captured. The playback of the images is based at least, in part, on a correlation between movement indicated by the sensor data that was captured at the capture time of the images and movement indicated by the additional sensor data that is captured at the playback time.