Virtual Object Control via Multi-Sensor Movement Data
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Solution Overview
Problem
Conventional information processing systems fail to effectively encourage whole-body exercises by separately using outputs from apparatuses held and stepped on by users, limiting the variety and engagement of game processes.
Innovation Solution
An information processing system that includes sensors and transmitters for detecting movements of both lower and upper body apparatuses, allowing a virtual object to perform actions based on combined outputs, promoting whole-body operations and increasing playability by requiring coordinated movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If outputs from apparatuses held and stepped on by users are separately used for game control, then the control structure is simple, but the variety of actions and user engagement are limited
Solution Approach 1:
The patent combines outputs from multiple apparatuses (held apparatus and stepped-on apparatus) to control a single virtual object. The information processing apparatus integrates data from both apparatuses to determine combined actions, merging separate control inputs into unified virtual object behavior that increases action variety without requiring separate virtual objects for each apparatus.
Solution Approach 2:
The control system is designed to handle multiple types of apparatuses and multiple types of actions through a universal processing framework. The information processing apparatus can process outputs from various sensor types and translate them into different virtual object actions (movement, attack, defense, etc.), making the system adaptable to different apparatus configurations and action types.
2Productivity
If outputs from multiple sensors are combined to control virtual object actions, then user engagement and exercise promotion are improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary classification of sensor outputs into distinct action types (movement actions, attack actions, defense actions). By pre-categorizing sensor data before combining it with other inputs, the system reduces processing complexity during real-time operation. Each apparatus output is evaluated against predetermined conditions and classified into action categories before being integrated with other sensor data.
Solution Approach 2:
The control process is segmented into distinct evaluation stages: first evaluating outputs from the held apparatus, then evaluating outputs from the stepped-on apparatus, and finally combining them. This segmentation allows the system to process complex multi-sensor data in manageable steps, reducing overall processing complexity while maintaining comprehensive analysis of all inputs.
3Adaptability or versatility
If the virtual object performs diverse actions based on combined sensor outputs, then playability increases, but the difficulty of coordinating real-world movements increases
Solution Approach 1:
The system provides feedback by mapping real-world apparatus movements to intuitive virtual object actions. When sensors detect specific movement patterns (e.g., swinging the held apparatus, stepping with the stepped-on apparatus), the virtual object performs corresponding actions (attack, move, defend). This feedback loop helps users learn and coordinate movements more easily by providing clear cause-effect relationships between physical actions and virtual responses.
Solution Approach 2:
The system uses parameter changes in sensor outputs to determine action types. By monitoring changes in movement intensity, direction, and pattern from the apparatuses, the system translates subtle variations in user movement into distinct virtual object actions. This allows diverse playability options while maintaining ease of operation, as users naturally produce different movement parameters during gameplay without needing to consciously coordinate complex sequences.
Data Source
AI summary
A first sensor detects a movement of a first apparatus attached to a lower body of a user, and a second sensor detects a movement of a second apparatus attached to an upper body of the user or held by a hand of the user. Then, a virtual object is caused to continue a first action in a virtual space while received outputs from the first sensor and the second sensor both satisfy a condition.