Attention Analysis System Using Image Processing for Classroom Focus Tracking

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Solution Overview

Problem

In educational and other settings, students often get distracted while using computing devices, making it difficult for instructors to maintain focus across a room, and existing methods for monitoring attention are ineffective and time-consuming.

Innovation Solution

An attention analysis system that uses image processing to detect a user's facing direction and send notifications when they are not paying attention, incorporating a database of images indicative of attention and distraction, and extracting multiple user position characteristics such as eye gaze, head position, and body position to determine engagement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If an instructor manually monitors each student's attention in a large classroom, then attention can be tracked individually, but it becomes time-consuming and ineffective

Engineering Contradiction:

Improveattention tracking accuracyVSAvoidtime required for monitoring

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the mechanical system of manual visual monitoring by instructors with an automated image processing system that uses cameras and computer vision algorithms to detect student head orientation and determine attention status, thereby eliminating time consumption while maintaining measurement precision

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service attention monitoring where students are automatically assessed without requiring instructor intervention, with the computing device itself performing the monitoring function through integrated or connected imaging sensors and processing algorithms

Inventive Principle:

Principle #25Self-service

2Measurement precision

If multiple cameras and sensors are deployed to accurately detect user attention, then measurement precision improves, but device complexity increases

Engineering Contradiction:

Improveuser position detection accuracyVSAvoidsystem configuration complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent makes the computing device itself multi-functional by integrating camera sensors and image processing capabilities directly into the device, allowing it to serve both as the presentation device and the monitoring sensor, thereby reducing overall system complexity while maintaining detection precision

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system merges the presentation function and attention monitoring function into a single integrated system where the computing device performs both roles, and combines multiple detection modalities (head position, eye gaze) into a unified attention determination algorithm

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS12002287B2Computing device attention determination

Publication Date: 2024.06.04 HEWLETT PACKARD DEVELOPMENT COMPANY LP

AI summary

In one example in accordance with the present disclosure, an attention analysis system is described. The attention analysis system includes a database. The database includes 1) images indicative that users are paying attention to corresponding computing devices and 2) images indicative that users are not paying attention to corresponding computing devices. The system also includes an analyzer to extract multiple user position characteristics from a stream of images of a user disposed in front of a computing device. A comparer of the system determines, by comparing the stream of images of the user to the images in the database, whether the user is paying attention to the computing device.