Wrist Computer Time Marker Injection for Video Event Detection
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Solution Overview
Problem
Existing devices for recording and monitoring physical activities, such as skiing or snowboarding, face challenges in efficiently editing video data to highlight interesting events, as they require manual switching on/off of cameras and lack precise timing markers for event detection.
Innovation Solution
A wrist computer and portable video camera system that uses bi-directional wireless communication to transmit time markers and performance metrics data, allowing for automatic insertion of timing markers into video files, facilitating the detection of interesting events and reducing editing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual switching on/off of cameras is used for recording physical activities, then the camera can capture video data, but the editing complexity increases and time consumption increases due to lack of precise timing markers
Solution Approach 1:
The system performs preliminary action by automatically generating time markers during the physical activity recording process. The wrist computer continuously monitors activity data and generates time markers that are embedded in the video file metadata during recording, eliminating the need for manual editing later. This preliminary automated marker generation resolves the contradiction by improving editing efficiency while reducing time loss.
Solution Approach 2:
The system applies self-service by enabling the video recording system to automatically detect and mark interesting events without external manual intervention. The wrist computer autonomously analyzes activity data, identifies events of interest, and inserts time markers into the video file automatically. This self-service capability improves productivity by eliminating manual editing work while minimizing time loss.
2Measurement precision
If no time markers are inserted into video files, then the video recording process is simple, but the ability to detect and mark significant events deteriorates
Solution Approach 1:
The wrist computer serves as an intermediary device between the physical activity and the video recording system. It receives activity data from sensors, processes this data to identify interesting events, generates corresponding time markers, and transmits these markers to the portable video camera. This intermediary approach enhances event detection precision while managing system complexity through a dedicated intermediate device.
Solution Approach 2:
The system replaces manual mechanical editing processes with automated electronic processing. Instead of manually reviewing and marking video footage, the system uses the wrist computer to electronically process activity data, automatically generate time markers, and embed them in video file metadata. This substitution improves measurement precision for event detection while reducing the complexity of manual operations.
3Extent of automation
If automatic event detection is implemented, then interesting events can be identified automatically, but the device complexity increases due to integration of sensor and camera systems
Solution Approach 1:
The system applies segmentation by dividing the automated event detection functionality into separate specialized components: the wrist computer handles sensor data acquisition and event detection, while the portable video camera handles video recording and marker insertion. This segmentation allows each device to focus on its specific function, reducing individual device complexity while achieving high automation through their coordinated interaction via wireless communication.
Data Source
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AI summary
This document discloses a system comprising a wrist computer and a portable video camera. The wrist computer acquires physical activity data measured by a sensor device, generates a time marker on the basis of the physical activity data, and transmits the time marker to the portable video camera according to a predefined wireless communication protocol. The portable video camera is configured to record video data, encode the video data into a video data file, and store the received time marker as meta data in the video file.