Automated Point-of-View Video Capture via Position Detection
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Solution Overview
Problem
Existing mobile communication devices require complex and time-consuming processes for recording and sharing videos, as users need to manually select camera icons, position the device, and upload videos, which can be cumbersome and inefficient.
Innovation Solution
A mobile communication device equipped with a camera, position detection module, and recordation module that automatically initiates video recording when positioned correctly relative to the user's body, and uploads the video to a remote server after a set time, eliminating the need for user intervention in the recording and sharing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual video recording process is used (select camera icon, position device, select record icon, select stop icon), then user has control over recording process, but operation complexity and time consumption increase significantly
Solution Approach 1:
The system automatically detects when the device is in the correct point-of-view position using sensor data, automatically starts recording, automatically stops recording when positioned incorrectly, and automatically uploads the video. This self-service automation eliminates the need for manual user actions while maintaining recording functionality.
Solution Approach 2:
The system performs preliminary positioning detection using sensors (proximity, gyroscope, accelerometer, light sensors) to determine if the device is in the correct point-of-view position before initiating recording. This preliminary action ensures proper setup is automatically verified before the main recording function begins.
2Productivity
If manual video upload process is used, then user can control upload timing and destination, but time consumption and operational steps increase
Solution Approach 1:
The system automatically uploads the recorded video to a remote server without requiring user intervention. The communication module automatically transfers the video file after recording completes, eliminating manual upload steps and significantly reducing the time required to share videos.
Solution Approach 2:
The system maintains continuous operation from recording through upload without interruption. The recording module and communication module work in sequence automatically, ensuring the useful action of video sharing continues seamlessly from capture to upload without manual pauses or transitions.
3Ease of operation
If automatic recording initiation based on sensor data is implemented, then ease of operation improves, but risk of unintended recording increases
Solution Approach 1:
The position detection module performs preliminary verification using multiple sensors (proximity, gyroscope, accelerometer, light sensors) to confirm the device is in the correct point-of-view position before initiating recording. This multi-sensor verification ensures accurate detection and prevents unintended recording initiation.
Solution Approach 2:
The system continuously monitors sensor data to detect when the device is positioned correctly, provides feedback by initiating recording, and continues to monitor to detect when positioning is incorrect to stop recording. This closed-loop feedback ensures accurate and reliable recording control based on actual device position.
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
Streamlines video recording and sharing by automating the process based on sensor data, allowing users to easily capture and upload point-of-view videos without manual interaction, enhancing convenience and efficiency.
Implementation Method 1
the at least one sensor may be embodied as one or more proximity sensors
Implementation Method 2
the at least one sensor may be embodied as one or more proximity sensors, gyroscope sensors, accelerometer sensors, and/or a light sensors
Implementation Method 3
the at least one sensor may be embodied as one or more proximity sensors, gyroscope sensors, accelerometer sensors, and/or a light sensors
Implementation Method 4
the at least one sensor may be embodied as one or more proximity sensors, gyroscope sensors, accelerometer sensors, and/or a light sensors
Data Source
AI summary
Technologies for generating a point-of-view video of a user include determining whether a mobile communication device is positioned in a reference point-of-view position relative to a body of the user and, if so, initiating recording of a video without direction from the user. The point-of-view position may be defined as, for example, a position near the chest of the user. The recording of the video is initiated automatically in response to the user moving the mobile communication device to the point-of-view position. The recording may occur for a pre-defined reference length of time. The recorded video may be automatically uploaded to a remote video server upon competition of the recording. The remote server may aggregate associated videos into a stack and transmit stacks of recorded videos to the mobile communication device. Upon viewing a stack of associated videos, the stack of videos may be automatically deleted from the mobile communication device.