Abstract: A method and system for impaired driving detection, monitoring and accident prevention with driving habits. An impairment test method is provided with an impairment test determining in real-time whether a driver of vehicle is impaired (e.g., has used drugs, alcohol, is distracted, talking, texting, eating, etc. or is drowsy, etc.). The impairment test determines plural assigned probability impairment values over a pre-determined time interval to compare a frequency of received plural event signals from a passenger compartment of the vehicle and from an environment detected outside the vehicle and external to the vehicle for one or more of the plural driver performance actions completed by a driver of a vehicle to those previously stored in a unique driver profile for the driver to determine with a statistical probability whether the driver operating the vehicle may be impaired based on the unique behavior patterns for the driver of the vehicle stored in the unique driver profile.

Abstract: A method and system for impaired driving detection, monitoring and accident prevention with driving habits. An impairment test method is provided with an impairment test determining in real-time whether a driver of vehicle is impaired (e.g., has used drugs, alcohol, is distracted, talking, texting, eating, etc. or is drowsy, etc.). The impairment test determines plural assigned probability impairment values over a pre-determined time interval to compare a frequency of received plural event signals from a passenger compartment of the vehicle and from an environment detected outside the vehicle and external to the vehicle for one or more of the plural driver performance actions completed by a driver of a vehicle to those previously stored in a unique driver profile for the driver to determine with a statistical probability whether the driver operating the vehicle may be impaired based on the unique behavior patterns for the driver of the vehicle stored in the unique driver profile.

Abstract: A method and system for impaired driving detection, monitoring and accident prevention with driving habits. An impairment test method is provided with an impairment test determining in real-time whether a driver of vehicle is impaired (e.g., has used drugs, alcohol, is distracted, talking, texting, eating, etc. or is drowsy, etc.). The impairment test determines plural assigned probability impairment values over a pre-determined time interval to compare a frequency of received plural event signals from a passenger compartment of the vehicle for one or more of the plural driver performance actions completed by a driver of a vehicle to those previously stored in a unique driver profile for the driver to determine with a statistical probability whether the driver operating the vehicle may be impaired based on the unique behavior patterns for the driver of the vehicle stored in the unique driver profile.

Abstract: A method and system for automatically creating a unique driver profile for a vehicle from driving habits. A unique driver profile is created with a portable on-board diagnostic series 2 (OBD-2) apparatus and/or linked and/or standalone network device (e.g., smart phone, tablet, wearable device, etc.). The unique driver profile is created from the accepted plural signals including time and geo-location data based on driving habits of the driver. The unique driver profile information is recorded on the apparatus and/or network device, downloaded at a later time or sent in real-time to check and verify an identity of the driver. The unique driver profile helps confirm an identity of the driver of the vehicle based on unique driving habits of the driver. The unique driver profile includes unique behavior patterns of the driver comprising “habit evidence” for legal matters associated with the driver proving with recorded data that the driver of the vehicle acted in a particular way on a particular occasion.

Abstract: A method and system for impaired driving detection, monitoring and accident prevention with driving habits. An impairment test method is provided with an impairment test determining in real-time whether a driver of vehicle is impaired (e.g., has used drugs, alcohol, is distracted, talking, texting, eating, etc. or is drowsy, etc.). The impairment test determines plural assigned probability impairment values over a pre-determined time interval to compare a frequency of received plural event signals from a passenger compartment of the vehicle for one or more of the plural driver performance actions completed by a driver of a vehicle to those previously stored in a unique driver profile for the driver to determine with a statistical probability whether the driver operating the vehicle may be impaired based on the unique behavior patterns for the driver of the vehicle stored in the unique driver profile.

Abstract: A method and system for automatically creating a unique driver profile for a vehicle from driving habits. A unique driver profile is created with a portable on-board diagnostic series 2 (OBD-2) apparatus and/or linked and/or standalone network device (e.g., smart phone, tablet, wearable device, etc.). The unique driver profile is created from the accepted plural signals including time and geo-location data based on driving habits of the driver. The unique driver profile information is recorded on the apparatus and/or network device, downloaded at a later time or sent in real-time to check and verify an identity of the driver. The unique driver profile helps confirm an identity of the driver of the vehicle based on unique driving habits of the driver.

Abstract: A method and system for automatically creating a unique driver profile for a vehicle from driving habits. A unique driver profile is created with a portable on-board diagnostic series 2 (OBD-2) apparatus and/or linked and/or standalone network device (e.g., smart phone, tablet, wearable device, etc.). The unique driver profile is created from the accepted plural signals including time and geo-location data based on driving habits of the driver. The unique driver profile information is recorded on the apparatus and/or network device, downloaded at a later time or sent in real-time to check and verify an identity of the driver. The unique driver profile helps confirm an identity of the driver of the vehicle based on unique driving habits of the driver.

Abstract: A breath alcohol testing device has a removable tamper-resistant sampling chamber assembly that provides a disposable interface between the test subject and the alcohol sensor, other sensors and electronics of the testing device. Hydrophobic membranes prevent bodily fluids and other liquids from entering the alcohol sensor and other sensitive components of the testing device. A set of chambers with one-way valves direct the gas flow within the sample chamber assembly to ensure the breath sample delivered to the alcohol sensor is not diluted by the subject inhaling, and is a deep-lung breath sample.

Abstract: A biometric identity confirmation system is based on both pulse wave shape data and spirometric data for the subject. During an initial enrollment mode, pulse wave shape and spirometric data for a known subject are used to generate subject characterization data for the known subject by computing an exemplar and selectively weighting portions of the exemplar based, for example, on repeatability or distinguishing characteristic features over the population of known subjects. During a subsequent identity authentication mode, pulse wave shape and spirometric data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject.

Abstract: A method and system for automatically creating a unique driver profile for a vehicle from driving habits. A unique driver profile is created with a portable on-board diagnostic series 2 (OBD-2) apparatus and/or linked and/or standalone network device (e.g., smart phone, tablet, wearable device, etc.). The unique driver profile is created from the accepted plural signals including time and geo-location data based on driving habits of the driver. The unique driver profile information is recorded on the apparatus and/or network device, downloaded at a later time or sent in real-time to check and verify an identity of the driver. The unique driver profile helps confirm an identity of the driver of the vehicle based on unique driving habits of the driver.

Abstract: A method and system for automatically creating a unique driver profile for a vehicle from driving habits. A unique driver profile is created with a portable on-board diagnostic series 2 (OBD-2) apparatus and/or linked and/or standalone network device (e.g., smart phone, tablet, wearable device, etc.). The unique driver profile is created from the accepted plural signals including time and geo-location data based on driving habits of the driver. The unique driver profile information is recorded on the apparatus and/or network device, downloaded at a later time or sent in real-time to check and verify an identity of the driver. The unique driver profile helps confirm an identity of the driver of the vehicle based on unique driving habits of the driver.

Abstract: A biometric identity confirmation system is based on both pulse wave shape data and spirometric data for the subject. During an initial enrollment mode, pulse wave shape and spirometric data for a known subject are used to generate subject characterization data for the known subject by computing an exemplar and selectively weighting portions of the exemplar based, for example, on repeatability or distinguishing characteristic features over the population of known subjects. During a subsequent identity authentication mode, pulse wave shape and spirometric data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject.

Abstract: A biometric identity confirmation system is based on both pulse wave data and spirometric data for the subject. During an initial enrollment mode, pulse wave and spirometric data for a known subject are used to generate subject characterization data for the known subject. During a subsequent identity authentication mode, pulse wave and spirometric data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject.

Abstract: A biometric identity confirmation system is based on pulse waveform data for the subject. During an initial enrollment mode, pulse waveform data for a known subject are used to generate subject characterization data for the known subject. The subject characterization data includes an exemplar created by synchronous averaging of pulse waveform data over multiple pulse cycles. A number of trigger candidate are identified for the start point of each pulse cycle. The time delay between trigger candidates is analyzed to discard false trigger candidate and identify true candidates, which are then used as the start points for each pulse cycle in synchronous averaging of the pulse waveform data. During a subsequent identity authentication mode, pulse waveform data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject.

Abstract: A breath alcohol testing device has a removable tamper-resistant sampling chamber assembly that provides a disposable interface between the test subject and the alcohol sensor, other sensors and electronics of the testing device. Hydrophobic membranes prevent bodily fluids and other liquids from entering the alcohol sensor and other sensitive components of the testing device. A set of chambers with one-way valves direct the gas flow within the sample chamber assembly to ensure the breath sample delivered to the alcohol sensor is not diluted by the subject inhaling, and is a deep-lung breath sample.

Abstract: An system for monitoring alcohol in the breath of a test client confirms the identity of the test client based on spirometric data. The system includes a sample chamber receiving a breath sample, an alcohol sensor measuring the alcohol content of the breath sample, and a spirometric sensor generating spirometric data from the breath sample over the test client's entire exhalatory phase. A processor analyzes the spirometric data with stored client characterization data for a known client to confirm the identity of the test client. The client characterization data can be a probability density in a phase space in which at least two spirometric variables (e.g., flow and volume time-series data) are correlated.

Abstract: A method and system for biometric identity confirmation is based on the pulse wave of a subject. During an initial enrollment mode, pulse wave data for a known subject are used to generate subject characterization data for the known subject. During a subsequent operational mode, pulse wave data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject. The subject characterization data can be a probability density in a phase space in which at least two quasi-periodic variables based on the pulse wave (e.g., blood pressure and volume time-series data) are correlated.

Abstract: A biometric identity confirmation system is based on pulse waveform data for the subject. During an initial enrollment mode, pulse waveform data for a known subject are used to generate subject characterization data for the known subject. The subject characterization data includes an exemplar created by synchronous averaging of pulse waveform data over multiple pulse cycles. A number of trigger candidate are identified for the start point of each pulse cycle. The time delay between trigger candidates is analyzed to discard false trigger candidate and identify true candidates, which are then used as the start points for each pulse cycle in synchronous averaging of the pulse waveform data. During a subsequent identity authentication mode, pulse waveform data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject.

Abstract: An system for monitoring alcohol in the breath of a test client confirms the identity of the test client based on spirometric data. The system includes a sample chamber receiving a breath sample, an alcohol sensor measuring the alcohol content of the breath sample, and a spirometric sensor generating spirometric data from the breath sample over the test clients entire exhalatory phase. A processor analyzes the spirometric data with stored client characterization data for a known client to confirm the identity of the test client. The client characterization data can be a probability density in a phase space in which at least two spirometric variables (e.g., flow and volume time-series data) are correlated.

Abstract: A method and system for biometric identity confirmation is based on the pulse wave of a subject. During an initial enrollment mode, pulse wave data for a known subject are used to generate subject characterization data for the known subject. During a subsequent operational mode, pulse wave data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject. The subject characterization data can be a probability density in a phase space in which at least two quasi-periodic variables based on the pulse wave (e.g., blood pressure and volume time-series data) are correlated.