System and method to detect alertness of machine operator

• US 10,383,563 B2
• Filed: 05/01/2017
• Issued: 08/20/2019
• Est. Priority Date: 03/18/2014
• Status: Active Grant

• Current Assignee: J. Kimo Arbas
• Original Assignee: J. Kimo Arbas
• Inventors: Arbas, J. Kimo
• Primary Examiner(s): Alter, Alyssa M
• Application Number:
  US15/583,474
• Publication Number:
  US 20170231546A1
• Time in Patent Office: 841 Days
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/082 Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath A61B5/083, A61B5/091 take precedence
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4845 Toxicology, e.g. by detection of alcohol, drug or toxic products A61B5/4848 takes precedence
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7455 characterised by tactile indication, e.g. vibration or electrical stimulation
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B

Abstract

A system and method relate to receiving, by a processing device, at least one stream of data captured by at least one sensor monitoring a human subject, wherein the at least one stream of data comprises sensor measurements, comparing the sensor measurements to at least one model of a mental state to estimate the mental state of the human subject, determining whether to trigger an alarm based on the estimated mental state, and in response to determining to trigger the alarm, generating an instruction to trigger the alarm.

Claims

1. A method comprising:

receiving, by a processing device, at least one stream of data captured by at least one sensor monitoring a human subject, wherein the at least one stream of data comprises sensor measurements, and the least on sensor comprises an electroencephalography (EEG) monitor and an accelerometer integrated into headgear;

comparing the sensor measurements to at a threshold to determine whether the human subject is in a rage state;

determining whether to trigger an alarm based on the comparison; and

in response to determining to trigger the alarm, generating an instruction to trigger the alarm.

2. The method of claim 1, wherein the human subject is a truck driver driving a truck.

3. The method of claim 1, further comprising:

transmitting the instruction to trigger the alarm to an alarm receiver, wherein, in response to receiving the instruction, the alarm receiver is to generate the alarm.

4. The method of claim 3, wherein the alarm comprises at least one of a sound alarm, a flash light, a vibration, or text.

5. The method of claim 1, wherein the at least one model is built using machine learning.

6. A non-transitory machine-readable storage medium storing instructions which, when executed, cause a processing device to:

receive, by the processing device, at least one stream of data captured by at least one sensor monitoring a human subject, wherein the at least one stream of data comprises sensor measurements, and the least on sensor comprises an electroencephalography (EEG) monitor and an accelerometer integrated into headgear;

comparing the sensor measurements to at a threshold to determine whether the human subject is in a rage state;

determining whether to trigger an alarm based on the comparison; and

in response to determining to trigger the alarm, generating an instruction to trigger the alarm.