Information Processing Apparatus for Synchronized Hand Pose Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for acquiring data for mechanical learning to estimate hand position or pose require significant manual effort to associate information from different devices, making the process inefficient.
Innovation Solution
An information processing apparatus that connects multiple information acquisition devices to accept, retain, and extract synchronized data, using the extracted information as teacher and input signals for mechanical learning processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual association method is used to link measurement device information and supposing device information, then data accuracy can be ensured, but the burden of data preparation becomes great and the process becomes inefficient
Solution Approach 1:
The system enables automatic self-association of data from multiple devices using timing information and identification markers. Each device independently contributes its data with embedded timing stamps, and the information processing apparatus automatically correlates them without manual intervention, allowing the system to serve itself in the data association process.
Solution Approach 2:
The manual mechanical process of associating data is replaced by an automated information processing system that uses timing information and identification markers to automatically link data from measurement devices and supposing devices. This substitution eliminates manual labor while maintaining data accuracy through systematic automated correlation.
2Adaptability or versatility
If multiple information acquisition devices are used to capture hand position data, then the quality and variety of input data for mechanical learning improves, but the complexity of synchronizing and associating data from these devices increases
Solution Approach 1:
The information processing apparatus acts as an intermediary that receives timing information and identification markers from multiple independent information acquisition devices. It uses these intermediaries to automatically correlate data from cameras, measurement devices, and other sensors without requiring complex direct synchronization between each device pair.
Solution Approach 2:
The system changes the parameter of data association from manual device pairing to automatic timing-based correlation. By using timing information stamps and identification markers as key parameters, the system transforms the complexity of multi-device synchronization into a simple temporal correlation process that can be handled automatically.
Data Source
AI summary
An information processing apparatus is connected to a first information acquisition apparatus that acquires first information relating to at least one of a position or a pose of a hand of a target person and a second information acquisition apparatus that acquires second information relating to at least one of the position or the pose of the hand of the target person and different from the first information acquired by the first information acquisition apparatus. The information processing apparatus accepts the first information and the second information from the first and second information acquisition apparatuses, respectively, retains the accepted first and second information in an associated relationship with information of timings at which the first and second information acquisition apparatuses acquire the first and second information, respectively, and extracts pieces of the first and second information acquired at a common timing from the retained first and second information as pair information.