Facial Perception System for Dynamic Game Personalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video game systems require manual input of player characteristics, which is inconvenient and does not allow for dynamic adjustment of gameplay based on determined gender and age for enhanced player engagement.
Innovation Solution
Implementing a system that uses facial perception through a camera to automatically determine the gender and age of players, allowing the game to modify gameplay settings and content accordingly, such as incorporating different gameplay elements or objectives based on market research preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of player characteristics is required, then the system can obtain player gender and age information, but the ease of operation deteriorates due to the need for manual intervention
Solution Approach 1:
The system performs automatic facial recognition and analysis without requiring manual input from the player. The camera captures the player's face and the processor automatically determines gender and age characteristics, allowing the system to serve itself by eliminating the need for user intervention in data entry.
Solution Approach 2:
The manual mechanical process of typing or selecting player characteristics is replaced by an optical system (camera) and automated processing algorithm. The facial recognition technology substitutes the mechanical input method with an automated visual detection and analysis system.
2Adaptability or versatility
If the game provides configurable options, then the adaptability improves, but the extent of automation deteriorates because manual configuration is still required
Solution Approach 1:
The system uses feedback from automatic facial recognition to dynamically adjust gameplay settings. The processor continuously monitors player characteristics and provides real-time feedback to modify game difficulty, content, or style automatically based on the detected player profile, eliminating the need for manual configuration while maintaining high adaptability.
Solution Approach 2:
The game settings transition from static pre-configuration to dynamic automatic adjustment. The gameplay parameters can change in real-time based on the automatically detected player characteristics, making the system both highly adaptable and fully automated without requiring manual intervention.
3Measurement precision
If the camera captures player images, then the measurement precision of player characteristics improves, but the device complexity increases due to additional hardware requirements
Solution Approach 1:
The camera system serves multiple functions: it captures player images for facial recognition, monitors gameplay sessions, and potentially tracks player reactions. By making the camera a multi-functional component, the additional hardware complexity is justified by its versatile utility across different system functions.
Solution Approach 2:
The processor acts as an intermediary that bridges the camera hardware and the game software. It handles the complex task of facial recognition and analysis, translating raw camera data into meaningful player characteristics that the game can utilize, thereby managing the complexity centrally rather than distributing it throughout the system.
Data Source
AI summary
There is provided a system and method for determining a gender and age of a player of a game. There is a method comprising capturing an image of at least one player, and determining the gender and age of the player based on the image. In this manner, the game may be customized to he more relevant or attractive to the player's gender and/or age group.