Activity Recognition Map Visualization Using Position Data
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Solution Overview
Problem
Existing action recognition technologies do not effectively utilize position information for enhanced action recognition and mapping, limiting the effectiveness of user activity logs.
Innovation Solution
An information processing apparatus and method that obtains activity recognition information from multiple users based on location data, generating representations of these activities for display on a map using specified criteria, thereby enhancing the utilization of position information and action recognition information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If position information is collected and stored in action logs, then the information can be used for action recognition, but the effectiveness of position information utilization is insufficient
Solution Approach 1:
The patent combines position information with action recognition information into a unified action log data structure. By merging these previously separate information types into a single integrated log, the system achieves more effective utilization of position information without significantly increasing system complexity. The merged log contains both location data and action recognition results, allowing simultaneous processing and analysis of both information types.
2Loss of information
If action recognition is performed using only acceleration sensor data, then the system is simple, but position information remains underutilized
Solution Approach 1:
The patent creates a multi-functional action log that serves multiple purposes: it stores acceleration sensor data for traditional action recognition, position information for location-based analysis, and enables both types of information to work together for enhanced action recognition. This universal data structure allows the same log to be used for various analysis purposes without requiring separate processing systems.
3Reliability
If position information is integrated with action recognition, then action log effectiveness improves, but data processing complexity increases
Solution Approach 1:
The patent segments the action log into distinct functional components: position information fields, action recognition information fields, and timestamp fields. Each segment serves a specific purpose and can be processed independently when needed. This segmentation allows the system to maintain high reliability through comprehensive data collection while managing processing complexity by allowing selective processing of different log components based on specific analytical needs.
Data Source
AI summary
An information processing apparatus including a processing circuit configured to obtain activity recognition information which is determined on the basis of sensing information of a plurality of users, the activity recognition information indicating recognized activities of the plurality of users based on location information of the plurality of users, and generate information for displaying representations of the recognized activities of the plurality of users in relation to a map by using specified criteria.