Apparatus and method of clinical trial for vr sickness prediction based on cloud
US-2021233317-A1 · Jul 29, 2021 · US
US11366520B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11366520-B2 |
| Application number | US-201916563645-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 6, 2019 |
| Priority date | Dec 7, 2018 |
| Publication date | Jun 21, 2022 |
| Grant date | Jun 21, 2022 |
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Disclosed herein are a method and apparatus for analyzing elements inducing motion sickness in VR content. The method includes acquiring objective data based on an experiment using the VR content for measuring VR motion sickness, the experiment being conducted according to a predetermined protocol; acquiring subjective data input from the multiple participants of the experiment; and constructing a database based on the objective data and the subjective data and analyzing the degree of motion sickness induced by each of the content elements of the VR content using statistical information based on the database.
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What is claimed is: 1. A method for analyzing elements inducing motion sickness in Virtual Reality (VR) content, comprising: acquiring objective data based on an experiment using the VR content for measuring VR motion sickness, the experiment being conducted according to a predetermined protocol; acquiring subjective data input from multiple participants of the experiment; and constructing a database based on the objective data and the subjective data and analyzing a degree of motion sickness induced by each of content elements of the VR content using statistical information based on the database, wherein the VR content includes different content scenes depending on value of the content elements; and wherein the content elements of the VR content include a camera movement, a camera acceleration, a camera speed, and a object movement. 2. The method of claim 1 , wherein the objective data includes at least one of bio-signal data measured from the multiple participants, and eye-tracking data measured from the multiple participants. 3. The method of claim 1 , wherein the subjective data corresponds to values indicative of subjective motion-sickness levels, acquired from the multiple participants. 4. The method of claim 1 , wherein the objective data and the subjective data are acquired before and after the experiment is conducted. 5. The method of claim 1 , wherein the predetermined protocol includes processes of providing consent, filling out a Motion Sickness Susceptibility Questionnaire (MSSQ), filling out a Simulator Sickness Questionnaire (SSQ) corresponding to each content scene, measuring a bio-signal, and taking a rest. 6. The method of claim 2 , wherein the bio-signal data includes at least one of an electroencephalogram (EEG), an electrocardiogram (ECG), and a galvanic skin response (GSR). 7. An apparatus for analyzing elements inducing motion sickness in Virtual Reality (VR) content, comprising: a processor for acquiring objective data based on an experiment, which is conducted according to a predetermined protocol, using the VR content for measuring VR motion sickness, acquiring subjective data input from multiple participants of the experiment, constructing a database based on the objective data and the subjective data, and analyzing a degree of motion sickness induced by each of content elements of the VR content using statistical information based on the database; and memory for storing at least one of the VR content, the objective data, and the subjective data, wherein the VR content includes different content scenes depending on value of the content elements; and wherein the content elements of the VR content include a background, a complexity of camera movement, a camera acceleration, a camera speed, a field of view, an independent visual background, a content length, and controllability. 8. The apparatus of claim 7 , wherein the objective data includes at least one of a content parameter corresponding to each of the content elements included in the VR content, an image displayed to the multiple participants during the experiment, bio-signal data measured from the multiple participants, and eye-tracking data measured from the multiple participants. 9. The apparatus of claim 7 , wherein the predetermined protocol includes processes of providing consent, filling out a Motion Sickness Susceptibility Questionnaire (MSSQ), filling out a Simulator Sickness Questionnaire (SSQ) corresponding to each content scene, measuring a bio-signal, and taking a rest. 10. The apparatus of claim 8 , wherein the bio-signal data includes at least one of an electroencephalogram (EEG), an electrocardiogram (ECG), and a galvanic skin response (GSR).
Electroencephalography [EEG] · CPC title
for electronic clinical trials or questionnaires · CPC title
Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00) · CPC title
Arrangements for interaction with the human body, e.g. for user immersion in virtual reality (blind teaching G09B21/00) · CPC title
for determining or recording eye movement · CPC title
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