Brain Activity-Based Video Motion Control

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Solution Overview

Problem

Existing video control systems fail to effectively measure and control video influences on organisms, leading to issues like visually induced motion sickness and inadequate evaluation of video perception in infants, due to lack of objective measurement and control based on organism-specific data.

Innovation Solution

A video control apparatus and method that measures brain activity using techniques like fMRI, PET, and electroencephalography to estimate motion vectors of perceived video motion, allowing for adaptive video control to mitigate discomfort and enhance perception by adjusting video attributes such as motion speed and direction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If video motion speed is increased to enhance visual stimulation for infants, then visual training effectiveness is improved, but the risk of visually induced motion sickness increases

Engineering Contradiction:

Improvevisual training effectivenessVSAvoidvisually induced motion sickness

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system measures brain activity (such as EEG signals) in real-time to detect the infant's visual perception state and motion perception threshold. Based on this feedback, the video playback device dynamically adjusts motion speed and other parameters to maintain effective visual stimulation while preventing motion sickness symptoms.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The video playback device transitions from static, fixed-speed playback to dynamic, adaptive playback where motion speed and other parameters continuously adjust based on the infant's real-time brain activity measurements, optimizing both training effectiveness and comfort.

Inventive Principle:

Principle #15Dynamics

2Manufacturing precision

If video motion speed is increased to improve visual perception training, then training intensity is enhanced, but motion perception threshold is exceeded causing discomfort

Engineering Contradiction:

Improvevisual perception training precisionVSAvoidmotion perception threshold violation

Core Design Contradiction:

Manufacturing precisionVSObject-affected harmful factors

Solution Approach 1:

The system uses brain activity measurement to provide continuous feedback on the infant's motion perception state. This feedback loop enables precise control of video motion parameters, ensuring training precision is maintained while staying within the infant's motion perception threshold.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If brain activity measurement is implemented to objectively evaluate video perception, then evaluation accuracy is improved, but device complexity increases

Engineering Contradiction:

Improvevideo perception evaluation accuracyVSAvoidmeasurement system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system employs relatively simple, non-invasive brain activity measurement methods such as EEG headsets or other low-cost sensing technologies, rather than complex medical imaging equipment. This approach achieves sufficient measurement precision for video perception evaluation while keeping device complexity and cost manageable.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

4Object-affected harmful factors

If video control is applied to all videos based on organism-specific information, then viewer comfort is improved, but information loss increases due to unnecessary control

Engineering Contradiction:

Improveviewer discomfortVSAvoidvideo quality degradation

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The video control system applies different processing strategies to different video content based on local characteristics. By analyzing video features and comparing them with the viewer's motion perception threshold, the system selectively applies control only where necessary, preserving video quality in regions where control is not needed while providing comfort enhancement where required.

Inventive Principle:

Principle #3Local quality

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

Enables objective detection and control of video influences on viewers, reducing the risk of visually induced motion sickness and optimizing video perception for infants by adjusting video characteristics based on individual brain activity data.

Implementation Method 1

By measuring a neural activity of the primary visual cortex of a person viewing a video through functional magnetic resonance imaging, it is possible to estimate any position in the visual field in which an image of any line segment is displayed.

Methodology Applied

Scientific EffectFunctional magnetic resonance imaging:

Data Source

PatentUS9414029B2Video control apparatus and video control method

Publication Date: 2016.08.09 CANON KK

AI summary

A video control apparatus includes a video presenting unit configured to present a video to a viewer, a brain activity measuring unit configured to measure a brain activity of the viewer, a feature amount estimating unit configured to estimate a feature amount related to a direction and an amount of motion of a video perceived by the viewer based on data acquired by the brain activity measuring unit, and a video control unit configured to control a video to be displayed by the video presenting unit based on the feature amount.