Classroom Screen Sharing Selection Using Gesture and Face Recognition
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Solution Overview
Problem
Existing educational systems in schools face challenges in selecting students to share screen data fairly, often leading to biases due to the order in which students raise their hands.
Innovation Solution
An information sharing system that utilizes face recognition and gesture detection to identify the student with the lowest sharing count among those raising their hands, ensuring fair selection for screen data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If students raise hands in a classroom setting, then student participation is enabled, but selection bias occurs due to order-based selection
Solution Approach 1:
The patent replaces the manual/mechanical hand-raising system with an automated image processing system. The server device captures images, detects hand-raising gestures through image analysis, and automatically identifies students who wish to participate, eliminating the need for manual selection and reducing order-based bias.
Solution Approach 2:
The server device acts as an intermediary between students and the information sharing system. Instead of direct teacher-student interaction for selection, the server mediates by receiving image data, detecting gestures, identifying students, and determining sharing order based on sharing counts, thereby ensuring fair selection.
2Reliability
If face recognition and gesture detection are implemented, then selection fairness is improved, but device complexity increases
Solution Approach 1:
The server device performs multiple functions: it manages information sharing, captures and processes images, detects gestures, performs face recognition, tracks sharing counts, and determines selection order. By consolidating these diverse functions into a single multi-functional system, the patent reduces the need for multiple separate devices while achieving fair selection.
Solution Approach 2:
The system automatically captures images, detects gestures, identifies students, and determines sharing order without requiring manual intervention. The server device self-manages the entire selection process, reducing the need for additional operational devices or manual tracking systems.
Data Source
AI summary
An information sharing system includes a device including device circuitry, at least one terminal device, and a server device including server circuitry. The device circuitry and the server circuitry operate in cooperation to: acquire image data from an imaging device that captures an image of a user of the at least one terminal device; analyze the acquired image data to recognize a gesture; store sharing count in association with the user of the at least one terminal device; perform face recognition on the image data to identify the user who performs the gesture; identify the user with lowest sharing count among users of the at least one terminal device who perform the gesture; receive the information from the at least one terminal device associated with the identified user; and display the received information on a display of the device.