A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

Described herein are neural network-based systems, methods and instrumentalities associated with estimating the motion of an anatomical structure. The motion estimation may be performed utilizing pre-learned knowledge of the anatomy of the anatomical structure. The anatomical knowledge may be learned via a variational autoencoder, which may then be used to optimize the parameters of a motion estimation neural network system such that, when performing motion estimation for the anatomical structure, the motion estimation neural network system may produce results that conform with the underlying anatomy of anatomical structure.

Systems, methods, apparatuses, and computer program products for contactless image-based blood oxygen estimation. A method may include receiving an image or video of a part of a subject captured by a camera of a computing device. The method may also include extracting a region of interest of the part of the subject from the image or video. The method may further include performing feature extraction of the region of interest. In addition, the method may include estimating a blood oxygen saturation level of the subject based on a spatial and temporal data analysis of more than two color channels. Feature extraction and estimation of the blood oxygen saturation level may include implementing a combination of spatial averaging, color channel mixing, and temporal trend analysis.

A finger-worn wearable ring device may include a ring-shaped housing, a printed circuit board, and a sensor module that includes one or more light-emitting components and one or more light-receiving components. The wearable ring device may further include a communication module configured to wirelessly communicate with an application executable on a user device.

A finger-worn wearable ring device may include a ring-shaped housing, a printed circuit board, and a sensor module that includes one or more light-emitting components and one or more light-receiving components. The wearable ring device may further include a communication module configured to wirelessly communicate with an application executable on a user device.

An automated driving vehicle (200) includes a communication device (220), a biometric information acquirer (240), and an automated driving controller (250). The communication device (220) is configured to transmit biometric information acquired by the biometric information acquirer (240) to an external device and receives a response signal including attribute information for the transmitted biometric information. The automated driving controller (250) is configured to execute automated driving according to route information formed on the basis of the attribute information included in the received response signal.

In accordance with some embodiments, an apparatus that controls sensor paths for privacy protection is provided. The apparatus includes a housing arranged to hold a second device. The apparatus obtains first sensor data that includes a biometric marker associated with a user. The apparatus controls sensor paths by obtaining the first sensor data using sensors on the second device, on the apparatus, and/or on a supplemental functional device. The apparatus further generates second sensor data by masking the biometric marker associated with the user in the first sensor data. The apparatus additionally controls the sensor paths by providing the second sensor data from the first apparatus to the second device.

A vehicle includes: a plurality of sensor devices that determine a driver state; a driver state determining device that receives detection results from a plurality of sensor devices and determines whether the driver state is a dangerous state; and a driving assistance device that performs lane keeping control and speed control of a vehicle and transmits a network connection request to a management server when the driver state determining device has determined the dangerous state.

The present disclosure provides systems and methods for managing meeting notes. In accordance with some embodiments, a method is provided that includes receiving nonverbal cue information associated with one or more meeting participants, determining an engagement level for each of the one or more meeting participants based on emotional information associated with the nonverbal cue information, composing meeting notes based on the determined engagement level for each of the one or more meeting participants, and storing the meeting notes.

A method and system for tracking visual attention are disclosed. By generating at least one visual stimulus with a characteristic modulation, the characteristic modulation being applied to high spatial frequency, HSF, components of the visual stimulus and displaying the or each visual stimulus via a graphical user interface, GUI, of a display, a neural response may be induced in the user's brain. By receiving neural signals of a user from a neural signal capture device, such as an EEG device, a point of focus of the user (when the user views the visual stimulus) may be determined based on the neural signals, since the neural signals include information associated with the characteristic modulation of a visual stimulus to which the user's visual attention is directed.