Various embodiments provide systems and methods for identifying impairment using measurement devices.

A breath analyzer, a system, and a computer program for administering a breath analysis to a donor and recording a breath analysis result. Embodiments of the invention authenticate that the breath analysis was performed correctly, preserves the breath analysis results by communicating with other devices, and presents the breath analysis results by superimposing them on recorded video data. The breath analyzer includes a breath receptor for receiving a breath sample from the donor, an analyzing element for determining a breath analysis result, a communications element for sending information indicative of the breath analysis result to a recording device manager, and a housing for securing the components in a handheld device. The system comprises the breath analyzer, a recording device manager for synchronizing the recordings, and at least one ancillary camera for recording the breath analysis.

According to one aspect of the present disclosure, an electronic device may include: a communication interface configured to receive, from a touch pen, force information about a force of the touch pen exerted onto an object when the object is in contact with the touch pen; a pulse wave measurer configured to measure a pulse wave of the object when the object is brought into contact with the electronic device by the force of the touch pen; and a processor configured to estimate a blood pressure of the object based on the force information and the pulse wave.

The disclosure provides a system that may receive an identification of a first patient; may receive a first template that includes first multiple locations associated with a face of the first patient and associated with the identification of the first patient; may determine second multiple locations associated with a face of a current patient; may determine a second template of the face of the current patient based at least on the second multiple locations associated with the face of the current patient; may determine if the first template matches the second template; if the first template matches the second template, may provide an indication that the current patient has been correctly identified as the first patient; and if the first template does not match the second template, may provide an indication that the current patient has not been identified.

In a method and apparatus for measuring an alcohol concentration, a blood alcohol concentration of a driver is rapidly and precisely measured by selecting a plurality of wavelengths based on the absorbance for blood components exerting an influence on the measurement result of the blood alcohol concentration and by measuring the blood alcohol concentration of the driver based on the absorbance detected with respect to a physical body of a user by using the plurality of selected wavelengths. Starting of the vehicle is controlled based on the blood alcohol concentration of the driver, which is measured by measuring the alcohol concentration.

In a method and apparatus for measuring an alcohol concentration, a blood alcohol concentration of a driver is rapidly and precisely measured by selecting a plurality of wavelengths based on the absorbance for blood components exerting an influence on the measurement result of the blood alcohol concentration and by measuring the blood alcohol concentration of the driver based on the absorbance detected with respect to a physical body of a user by using the plurality of selected wavelengths. Starting of the vehicle is controlled based on the blood alcohol concentration of the driver, which is measured by measuring the alcohol concentration.

A system for determining identification of a patient communicating over a computer network with a medical provider with certainty is provided using biometric data captured by said medical provider with subsequent biometric data generated by biometric sensors proximal to a patient. Using previously captured biometric information concerning physical characteristics unique to the patient and comparing such to subsequently generated biometric data from the patient, a medical provider can determine the identity of a patient attempting communication over a computer network with the medical provider.

An embodiment in accordance with the present invention includes a technology to continuously measure patient mobility automatically, using sensors that capture color and depth images along with algorithms that process the data and analyze the activities of the patients and providers to assess the highest level of mobility of the patient. An algorithm according to the present invention employs the following five steps: 1) analyze individual images to locate the regions containing every person in the scene (Person Localization), 2) for each person region, assign an identity to distinguish ‘patient’ vs. ‘not patient’ (Patient Identification), 3) determine the pose of the patient, with the help of contextual information (Patient Pose Classification and Context Detection), 4) measure the degree of motion of the patient (Motion Analysis), and 5) infer the highest mobility level of the patient using the combination of pose and motion characteristics (Mobility Classification).

An embodiment in accordance with the present invention includes a technology to continuously measure patient mobility automatically, using sensors that capture color and depth images along with algorithms that process the data and analyze the activities of the patients and providers to assess the highest level of mobility of the patient. An algorithm according to the present invention employs the following five steps: 1) analyze individual images to locate the regions containing every person in the scene (Person Localization), 2) for each person region, assign an identity to distinguish ‘patient’ vs. ‘not patient’ (Patient Identification), 3) determine the pose of the patient, with the help of contextual information (Patient Pose Classification and Context Detection), 4) measure the degree of motion of the patient (Motion Analysis), and 5) infer the highest mobility level of the patient using the combination of pose and motion characteristics (Mobility Classification).

Various embodiments provide systems and methods for identifying impairment using measurement devices.