An alert is used to inform a user that their blood glucose level has dropped below a threshold (e.g., the user is hypoglycemic) or has increased above a threshold (e.g., the user is hyperglycemic). There is a hierarchy of alerts from lowest priority to highest priority. The alert is communicated by a user device (e.g., a mobile device), which is, for example, a smartphone, smart watch, home automation device, or the like. The alert is modified in order to increase the likelihood that the user receives or acknowledges the alert within a minimal amount of time. An intensity level (e.g., a volume) of an alert is modified based on, for example, whether the user has acknowledged a previous alert. A modality or a sensory channel of an alert is changed if an initial alert does fails to elicit a response from the user.

Provided is a system for detecting a user of a bathroom. The system comprises at least one sensor coupled to a bathroom use analysis device, where the sensor generates data that can be used to detect and/or identify the user. Also provided is a method of detecting a user of a bathroom. The method comprises analyzing data generated by the sensor in the above system to detect and/or identify the user.

A safety monitoring apparatus and method thereof for human-driven vehicle are provided. The safety monitoring apparatus includes a sensing unit, a processing unit, and a warning unit. The sensing unit and the warning unit are electrically connected to the processing unit, respectively. The sensing unit is arranged on a steering member of the human-driven vehicle and is used for sensing whether the steering member is in contact with a hand of a driver and generating a sensing signal accordingly. The processing unit determines whether the hand of the driver is placed on the steering member. The warning unit is used for generating a safety warning message. When the processing unit determines that the hand of the driver has not been placed on the steering member according to the sensing signal, the processing unit drives the warning unit to generate the safety warning message to warn the driver.

Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

A health safety method executed by a processor includes receiving, by the processor, from a medical facility, a certificate of vaccination for a particular disease for an individual, the vaccination conferring immunity to the individual for the disease; receiving by the processor an access request from a venue for the individual; and responding to the venue access request by providing a health safety certification including the certificate of vaccination for the individual and an effective date range of the certificate of vaccination.

In an alcohol detection system (10), an authentication server (16) receives camera image information acquired by a camera (32) shooting an image of an indication ID displayed on a display (22) of an alcohol detection device (12) and a device ID sent from the alcohol detection device (12). The authentication server (16) then determines whether a person to be measured is performing alcohol detection using the alcohol detection device (12) an image of which has been shot by the camera (32) or not based on the indication ID indicated by the camera image information and the device ID sent from the alcohol detection device (12).

Methods, devices, and systems related to determining biometric data using an array of infrared (IR) illuminators are described. In an example, a method can include projecting a number of IR dots on a user using a dot projector and an array of IR illuminators, capturing an IR image of the number of IR dots using an IR camera, comparing a number of pixels of the captured IR image to a number of corresponding pixels of a baseline IR image using a processing resource, and determining biometric data of the user at least partially based on comparing the captured IR image to the baseline IR image using the processing resource.

A stroke detection system analyzes images of a person's face over time to detect asymmetric changes in the position of certain reference points that are consistent with sagging or drooping that may be symptomatic of a stroke or TIA. On detecting possible symptoms of a stroke or TIA, the system may alert caregivers or others, and log the event in a database. Identifying stroke symptoms automatically may enable more rapid intervention, and identifying TIA symptoms may enable diagnostic and preventative care to reduce the risk of a future stroke.

A vehicle may include: a feedback device; a bio-signal sensor configured to measure a bio-signal of a user; and a controller operatively coupled to the feedback device and the bio-signal sensor, the controller including a memory configured to store at least one program instruction and processor configured to execute the at least one program instruction. The controller may be configured to: determine information characterizing a current emotional state of the user based on the bio-signal; calculate, based on a difference value between the current emotional state and a target emotional state, an operation ratio between a first mode for controlling operation of the feedback device to decrease a degree of excitability of the user and a second mode for controlling the operation of the feedback device to increase a degree of positivity of the user; and control the operation of the feedback device for a predetermined time based on the operation ratio.

The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals.