Abstract:
Disclosed herein are an apparatus and method for a clinical trial for predicting the degree of VR sickness based on a cloud. The apparatus for a clinical trial for predicting the degree of VR sickness includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program provides VR content to a user, extracts clinical data for predicting the degree of motion sickness of each user, and transmits the clinical data to a cloud server.
Abstract:
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.
Abstract:
A fitness device-based simulator and a simulation method using the simulator. The fitness device-based simulator includes a feature point extraction unit for acquiring action-sensing information of a user who is located on a fitness device, and extracting feature points for a body skeletal structure of the user based on the action-sensing information, a feature point cluster generation unit for generating multiple feature point clusters by clustering two or more of the feature points, and setting respective cluster symbols for multiple feature point clusters, an exercise pattern information accumulation unit for generating and storing information about a state transition between the multiple feature point clusters of the user, and an exercise state prediction unit for predicting a subsequent exercise state of the user by predicting a feature point cluster subsequent to a feature point cluster currently being generated for the user, based on state transition information.