Bio-telemetry Attentiveness Detection in Online Sessions

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Solution Overview

Problem

In online sessions, instructors face challenges in monitoring the engagement levels of participants, as traditional methods rely on visual cues that are not applicable in virtual settings, leading to difficulties in identifying when a group's attentiveness is decreasing.

Innovation Solution

A system that collects bio-telemetry data, such as alpha and beta wave data from participants' EEG devices, calculates moving averages, and sends notifications to instructors when a significant drop in attentiveness is detected, using a combination of weighting values to determine when to alert the instructor.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If traditional visual cue methods are used to monitor engagement, then the system complexity is low, but the ability to detect attentiveness decrease in virtual settings is insufficient

Engineering Contradiction:

Improvedetecting attentiveness decreaseVSAvoidsystem complexity

Core Design Contradiction:

Difficulty of detecting and measuringVSDevice complexity

Solution Approach 1:

The patent replaces traditional visual observation methods with bio-telemetry technology that measures physiological signals (alpha and beta brain waves) to detect attentiveness. This substitution enables objective measurement of engagement in virtual settings where visual cues are unavailable, directly resolving the contradiction between detection capability and system complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces bio-telemetry devices as intermediary components that collect physiological data from participants and transmit it to a processing system. This intermediary layer enables the system to indirectly measure attentiveness through brain wave patterns, overcoming the limitation of direct visual observation in virtual environments.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If bio-telemetry data is collected and processed in real-time, then the ability to monitor engagement improves, but the computational requirements and data processing complexity increase

Engineering Contradiction:

Improvereal-time engagement monitoringVSAvoiddata processing complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent performs preliminary data processing by calculating moving averages of alpha and beta wave data before making attentiveness determinations. This preliminary computation simplifies the data into meaningful engagement metrics that can be processed in real-time, reducing the complexity of continuous monitoring while maintaining productivity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent focuses on processing only the most relevant portions of bio-telemetry data (alpha and beta wave components) rather than analyzing all possible physiological signals. This selective processing approach maintains real-time monitoring capability while reducing computational complexity by concentrating resources on the most informative data elements.

Inventive Principle:

Principle #16Partial or excessive action

3Measurement precision

If moving average calculations with multiple weighting values are used, then the accuracy of attentiveness detection improves, but the computational steps and processing time increase

Engineering Contradiction:

Improveattentiveness detection accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent uses periodic moving average calculations that update engagement metrics at regular intervals rather than continuously. This periodic processing approach maintains detection accuracy through systematic sampling of bio-telemetry data while reducing processing time by avoiding constant computational operations, allowing the system to balance precision with time efficiency.

Inventive Principle:

Principle #19Periodic action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution enables real-time monitoring of participant engagement, allowing instructors to address decreased attentiveness promptly, thereby improving the effectiveness of virtual learning sessions.

Implementation Method 1

the bio telemetry data comprises alpha wave data and beta wave data

Methodology Applied

Scientific EffectAlpha wave data:

Implementation Method 2

the bio telemetry data comprises alpha wave data and beta wave data

Methodology Applied

Scientific EffectBeta wave data:

Data Source

PatentUS11689378B1Determining loss of focus in online sessions

Publication Date: 2023.06.27 DELL PROD LP

AI summary

A system can receive respective bio telemetry data from a group of people in an online session, wherein the bio telemetry data comprises alpha wave data and beta wave data. The system can determine a current moving average for the current time period based on a numerical combination of respective beta wave data of the bio telemetry data and respective alpha wave data of the bio telemetry data, wherein the numerical combination is scaled by a first weighting value, wherein the current moving average is decreased by a previous moving average for a previous time period, and wherein the previous moving average is scaled by a second weighting value. The system can, in response to determining that attentiveness by the group of people has decreased based on the previous moving average being greater than the current moving average, sending attentiveness notification data directed to an instructor user account.