Title

Using Convolutional Neural Networks for the Automated Scoring of the Bender-Gestalt Test Ii

School Name

South Carolina Governor's School for Science & Mathematics

Grade Level

12th Grade

Presentation Topic

Computer Science

Presentation Type

Mentored

Abstract

This research was done as a way to simplify and improve the efficiency of the grading system of a widely used psychological test called the Bender-Gestalt test. The current hand-scored system of grading is subjective and inefficient, so we decided to come up with a way to use artificial intelligence to improve it. First, we created a data set of drawings from the test that we could use to train a network on. Then we created code for a convolutional neural network, which is used in image processing/ identification software, and fed it our data set. After it trained on the data, it came back with a 99% accuracy rating, meaning our project was highly successful. The next step would be to gain access to real data from the testing company and if our code is successful there too, we could sell our code to the company.

Location

Founders Hall 140 A

Start Date

3-30-2019 9:45 AM

Presentation Format

Oral Only

Group Project

Yes

COinS
 
Mar 30th, 9:45 AM

Using Convolutional Neural Networks for the Automated Scoring of the Bender-Gestalt Test Ii

Founders Hall 140 A

This research was done as a way to simplify and improve the efficiency of the grading system of a widely used psychological test called the Bender-Gestalt test. The current hand-scored system of grading is subjective and inefficient, so we decided to come up with a way to use artificial intelligence to improve it. First, we created a data set of drawings from the test that we could use to train a network on. Then we created code for a convolutional neural network, which is used in image processing/ identification software, and fed it our data set. After it trained on the data, it came back with a 99% accuracy rating, meaning our project was highly successful. The next step would be to gain access to real data from the testing company and if our code is successful there too, we could sell our code to the company.