Richard Besserman - Phoenix AZ, US Mark Hafkey - Mesa AZ, US
International Classification:
G06F 17/30
US Classification:
707010000
Abstract:
A system and method for reporting and monitoring driving incidents which includes monitoring for abusive reporting and which enables a driver having an incident report to dispute the report. The system and method can be used to automatically generate driving incident reports to interested subscribers such as parents, employers, and insurance companies.
Audiometric Testing, Analyzing, And Recording Apparatus And Method
An audiometric testing system containing a processor and programmable analog circuitry for controlling frequency and intensity of audiometric test tones communicates with a remote data processing system via a communications link. The remote data processing system stores prior audiometric records for a large number of subjects. Each day, the audiometric records of a number of selected persons are transmitted from the remote data processing system to a memory of the audiometric testing system in response to identification numbers entered by an operator. The audiometric responses of each person to patterns of sounds of varying frequencies and intensities are determined. The varying frequencies and intensities are determined by a bracketing subroutine of an algorithm stored in and executed by a processor of the audiometric testing system. A person's responses to such test tones are utilized by the bracketing subroutine to determine his threshold levels at the respective frequencies for each ear. The algorithm automatically computes the pure tone averages for each ear from the threshold levels at a plurality of predetermined frequencies.
Systems And Methods For Non-Intrusive Drug Impairment Detection
Systems and methods for detecting onset, presence, and progression of particular states, including intoxication, include observing eye movements of a subject and correlating the observed movements to known baseline neurophysiological indicators of intoxication. A detection system may record eye movement data from a user, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not intoxication or impairment is present. The detection system may alert the user to take corrective action if onset or presence of a dangerous condition is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device. An interactive application may be provided on a user device to provoke the desired eye movements during recording.
Systems And Methods For Non-Intrusive Deception Detection
- San Francisco CA, US - Scottsdale AZ, US Richard E. Dale - Scottsdale AZ, US Richard Besserman - Phoenix AZ, US Troy Lee McDaniel - Chandler AZ, US
International Classification:
A61B 5/16 A61B 3/113 A61B 5/11
Abstract:
Systems and methods for detecting deceptive intent of a subject include observing eye movements of the subject and correlating the observed movements to known baseline neurophysiological indicators of deception. A detection system may record eye movement data from the subject, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not the subject is lying. The detection system may create an alert if deception is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device, such as a non-invasive, non-contact device attached to the subject's computing device and configured to non-obtrusively record the eye movement data.
Systems And Methods For Non-Intrusive Drug Impairment Detection
Systems and methods for detecting onset, presence, and progression of particular states, including intoxication, include observing eye movements of a subject and correlating the observed movements to known baseline neurophysiological indicators of intoxication. A detection system may record eye movement data from a user, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not intoxication or impairment is present. The detection system may alert the user to take corrective action if onset or presence of a dangerous condition is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device. An interactive application may be provided on a user device to provoke the desired eye movements during recording.
Systems And Methods For Non-Intrusive Drug Impairment Detection
- San Francisco CA, US - Scottsdale AZ, US Richard E. DALE - Scottsdale AZ, US Richard BESSERMAN - Phoenix AZ, US Tropy MCDANIEL - Chandler AZ, US
International Classification:
A61B 5/11 A61B 3/113 A61B 5/18 A61B 5/00
Abstract:
Systems and methods for detecting onset, presence, and progression of particular states, including intoxication, include observing eye movements of a subject and correlating the observed movements to known baseline neurophysiological indicators of intoxication. A detection system may record eye movement data from a user, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not intoxication or impairment is present. The detection system may alert the user to take corrective action if onset or presence of a dangerous condition is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device. An interactive application may be provided on a user device to provoke the desired eye movements during recording.
Systems And Methods For Non-Intrusive Deception Detection
- San Francisco CA, US - Scottsdale AZ, US Richard E. Dale - Scottsdale AZ, US Richard Besserman - Phoenix AZ, US Troy Lee McDaniel - Chandler AZ, US
Assignee:
Dignity Health - San Francisco CA
International Classification:
A61B 5/16 A61B 3/113
Abstract:
Systems and methods for detecting deceptive intent of a subject include observing eye movements of the subject and correlating the observed movements to known baseline neurophysiological indicators of deception. A detection system may record eye movement data from the subject, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not the subject is lying. The detection system may create an alert if deception is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device, such as a non-invasive, non-contact device attached to the subject's computing device and configured to non-obtrusively record the eye movement data.
Medicine Doctors
Dr. Richard Besserman, Phoenix AZ - MD (Doctor of Medicine)