USDOE Human Subjects Research Database, fiscal year 1995

Sandia National Laboratories

Project Identifier: SNL-94-12

Project Title:

Calibration and Benchmarking Data for Machine Vision and Image Classification

Principle Investigator: Mr. Gordon C. Osbourn

Project started in: 1994

Fiscal Year 1995 Funding for Research on Human Subjects:

Project Funding Information:
Project received funding in Fiscal Year 1995.
Project used human subjects in Fiscal Year 1995.

Funding Sources:

DOE: Defense Programs

Amount: $169,000 (Est.)

Information on Use of Human Subjects:

Project does not involve use of multiple protocols/subprojects.

IRB Review:
Type of Review: Expedited
Most Recent Approval: October 11, 1994

Number of Human Subjects in the Last Reporting Period for this Project: 6
(Reporting periods vary.)

Type of Human Subjects Involvement:

Instrument/Device/Product Testing or Man-Machine Studies:

Use of human subjects to develop/test instruments, materials, devices, or objects.

(a. Objectives, b. Methodology, c. Ionizing Radiation, Radioactive Substances, or Chemical Substances to which human subjects are exposed, d. Involvement of Human Subjects [d.1. procedures used, d.2. risks if any])

Objectives: To collect human perception data (that does not exist in the vision science literature) to improve, calibrate, and benchmark the performance of machine vision and image classification algorithms.

Methodology: Video images will be presented to subjects and subjects will report what they perceive by responding to multiple choice questions.

Involvement of Human Subjects: Subjects will view images on a video monitor and describe what they see by typing responses on a computer keyboard. The responses will be tabulated by computer and stored with an identification code. Response time will also be measured; uncertain responses (associated with longer response times) often occur for image parameters at the important "transitions" between two possible perceptions. There are no known risks to the subjects.