Abstract
Purpose :
Integral model of stereometer with feedback is precise and effective when measuring and training healthy and disordered stereovision in static mode. This study researches the method of measuring and training activity (movement) in 3D space and time in static and dynamic mode.
Methods :
The method allows us to measure and train vision and activity for its precise and instantaneous integral feedback between vision and coordinated movement of eyes, objects and a hand. The model of stereometer consists of a PC, optic system and software Visus-4Da and is presented in the image.
The projections of basic (BO) and test (TO) objects in virtual space are shown on a screen. BO in space and time is operated by the software and the TO - by a testee. The objects and a mouse are moved to increase integrity and effectiveness in synchronized directions.
The preciseness of instant, mean and standard deviation of disparity as well as other characteristics of stereo-vision and activity is evaluated according to coordinates of BO and TO in space and time. Static objects were used for evaluation of vision, dynamic – for activity and movement, and impulsive stimuli – for time characteristics.
Results :
The first group consisted of 97 people without stereovision. The research showed that (1) 72 trainees (74%) managed to train 3D vision and activity within 8 months on average with the help of stereometer and binarimeter.
The other group consisted of 20 people with stereovision within the range of 0.5–1.5 arcmin. The disparity of activity varied in the range of 10–50% by changing the speed of objects or the sensitivity of a mouse in a wide range up to 5 times. The perceptible threshold of integrated dynamic disparity was 3-15 arcmin × sec, the delay in time - 0.25–0.6 sec. The study showed that (2) the model is precise and effective in a wide range of speed and time, (3) little-dependent on sensitivity of parameters and conditions, and (4) disparity most depend on spatial and time awareness of integral vision and activity of testee and can be trained.
Conclusions :
The integral model with integral feedback in 3D space and time is precise and effective when measuring and training vision and activity in a wide range, and is little dependent on parameters of the device and on conditions of testing or training.
This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.