Patents Assigned to ADAPTIVE SENSORY TECHNOLOGY, INC.
-
Patent number: 11701054Abstract: The present disclosure relates to systems and methods for characterizing a behavior change of a process. A behavior model that can include a set of behavior parameters can be generated based on behavior data characterizing a prior behavior change of a process. A stimulus parameter for a performance test can be determined based on the set of behavior parameters. An application of the performance test to the process can be controlled based on the stimulus parameter to provide a measure of behavior change of the process. Response data characterizing one or more responses associated with the process during the performance test can be received. The set of behavior parameters can be updated based on the response data to update the behavior model characterizing the behavior change of the process. In some examples, the behavior model can be evaluated to improve or affect a future behavior performance of the process.Type: GrantFiled: March 12, 2018Date of Patent: July 18, 2023Assignees: OHIO STATE INNOVATION FOUNDATION, ADAPTIVE SENSORY TECHNOLOGY, INC.Inventors: Zhong-Lin Lu, Yukai Zhao, Luis A. Lesmes
-
Patent number: 11633098Abstract: Disclosed herein are system and method for testing and analysis of visual acuity and changes using an acuity model, the acuity model generated based on one or more acuity chart design parameters and candidate acuity parameters calculated using the acuity test data of the subject, the acuity model comprising a chart-specific psychometric function determined using a family of multiple-optotype psychometric functions, and wherein the acuity model is configurable to estimate possibility of obtaining the acuity test data of the subject.Type: GrantFiled: September 1, 2020Date of Patent: April 25, 2023Assignee: Adaptive Sensory Technology, Inc.Inventor: Luis Lesmes
-
Patent number: 11490803Abstract: Disclosed herein are methods and systems of evaluating test-retest precision using fractional rank precision or mean-average precision, comprising: a) collecting a test and a retest result of each subject, wherein the results are described in feature space(s) and collected from a vision test machine; b) selecting, a first test result of a first subject; c) calculating distances from the first test result to the retest result of each subject; d) assessing, a similarity between the first test result and the retest result of each subject by ranking the distances in a non-descending order; e) assessing a rank precision for the first subject based on a rank of a distance from the first test result to the retest result of the first subject; f) repeating b), c), d), and e) for each subject; and evaluating, the test-retest precision based on the rank precision for each of the plurality of subjects.Type: GrantFiled: December 30, 2019Date of Patent: November 8, 2022Assignee: Adaptive Sensory Technology, Inc.Inventors: Michael Dorr, Luis A. Lesmes
-
Patent number: 11484194Abstract: Disclosed herein are system and method for testing and analysis of visual acuity and changes using an acuity model, the acuity model generated based on one or more acuity chart design parameters and candidate acuity parameters calculated using the acuity test data of the subject, the acuity model comprising a chart-specific psychometric function determined using a family of multiple-optotype psychometric functions, and wherein the acuity model is configurable to estimate possibility of obtaining the acuity test data of the subject.Type: GrantFiled: June 22, 2018Date of Patent: November 1, 2022Assignee: ADAPTIVE SENSORY TECHNOLOGY, INC.Inventor: Luis Andres Lesmes
-
Patent number: 10925481Abstract: A system can include a non-transitory memory to store machine readable instructions and data, and a processor to access the non-transitory memory and execute the machine-readable instructions. The machine-readable instruction can include a global module that can be programmed to generate a visual field map (VFM) model that can include a set of visual function map parameters for an entire visual field for a subject. The global module can be programmed to update the set of visual function map parameters corresponding to updating a shape of the VFM based on subject response data generated during each administration of a vision test to a subject.Type: GrantFiled: March 1, 2019Date of Patent: February 23, 2021Assignees: Ohio State Innovation Foundation, Adaptive Sensory Technology, Inc.Inventors: Zhong-Lin Lu, Pengjing Xu, Luis Lesmes, Deyue Yu
-
Patent number: 10758120Abstract: Disclosed herein are system and method for testing and analysis of visual acuity and changes using an acuity model, the acuity model generated based on one or more acuity chart design parameters and candidate acuity parameters calculated using the acuity test data of the subject, the acuity model comprising a chart-specific psychometric function determined using a family of multiple-optotype psychometric functions, and wherein the acuity model is configurable to estimate possibility of obtaining the acuity test data of the subject.Type: GrantFiled: June 22, 2018Date of Patent: September 1, 2020Assignee: Adaptive Sensory Technology, Inc.Inventor: Luis Andres Lesmes
-
Patent number: 10568500Abstract: Disclosed herein are methods and systems of evaluating test-retest precision using fractional rank precision or mean-average precision, comprising: a) collecting a test and a retest result of each subject, wherein the results are described in feature space(s) and collected from a vision test machine; b) selecting, a first test result of a first subject; c) calculating distances from the first test result to the retest result of each subject; d) assessing, a similarity between the first test result and the retest result of each subject by ranking the distances in a non-descending order; e) assessing a rank precision for the first subject based on a rank of a distance from the first test result to the retest result of the first subject; f) repeating b), c), d), and e) for each subject; and evaluating, the test-retest precision based on the rank precision for each of the plurality of subjects.Type: GrantFiled: April 27, 2018Date of Patent: February 25, 2020Assignee: Adaptive Sensory Technology, Inc.Inventors: Michael Dorr, Luis A. Lesmes
-
Publication number: 20190096277Abstract: The present disclosure relates to systems and methods for measuring reading performance.Type: ApplicationFiled: September 25, 2018Publication date: March 28, 2019Applicants: Ohio State Innovation Foundation, Adaptive Sensory Technology, Inc.Inventors: Zhong-Lin Lu, Fang Hou, Deyue Yu, Peter J. Bex, Luis A. Lesmes
-
Patent number: 9980636Abstract: Disclosed herein are methods and systems of evaluating test-retest precision using fractional rank precision or mean-average precision, comprising: a) collecting a test and a retest result of each subject, wherein the results are described in feature space(s) and collected from a vision test machine; b) selecting, a first test result of a first subject; c) calculating distances from the first test result to the retest result of each subject; d) assessing, a similarity between the first test result and the retest result of each subject by ranking the distances in a non-descending order; e) assessing a rank precision for the first subject based on a rank of a distance from the first test result to the retest result of the first subject; f) repeating b), c), d), and e) for each subject; and evaluating, the test-retest precision based on the rank precision for each of the plurality of subjects.Type: GrantFiled: May 4, 2016Date of Patent: May 29, 2018Assignee: ADAPTIVE SENSORY TECHNOLOGY, INC.Inventors: Michael Dorr, Luis A. Lesmes