A method and system to facilitate monitoring of vehicles, riders, and drivers that includes receiving, using a communication device, and input related to driver energy and driver availability from one or more driver devices. Further, the method may include a step of analyzing, using a processing device, the input related to driver energy to determine energy levels of the one or more drivers. Further, the method may include matching, using the processing device, the rider with a driver based on the analyzing. Further, the method may include transmitting, using the communication device, a notification to the rider device and a matched driver device.

A biometric biochemical analysis system includes a user interface module to provide instructions for collecting and handling biochemical sampling and processing related to biometric data gathering as well as capturing biometric data using digital data capturing devices. The user interface module and display are integrated with analysis and communications portions of the biometric biochemical analysis system to provide a portable system for multi-portion data collecting, storage, verification, and analysis.

A vehicular device is disclosed, including a processor and plurality of sensors. The processor receives sensor data and determines vehicle occupant respiration based on the sensor data. The sensors can include acoustic sensors and imaging sensors. The processor can be configured for executing a machine learning algorithm to determine the occupant respiration.

An emotional or mental belief system reprogramming system is disclosed. The system includes a digital framework including a pattern recognition module configured to identify and recommend reprogramming and alter a health status of a user, the digital framework includes (1) a digitally recorded library of human emotions, unconscious agendas, perceptions, beliefs, and mindsets of a control group of users selected from a population of users (2) a question engine configured to interrogate the user using a library of predetermined questions and to identify a plurality of underlying unconscious agendas of the user that generate behavior of the user and associated negative emotions of the user, (3) an expressive, experiential digital agent having digitized color, gestures, expressions, movements, emotions, beliefs, intent, intuition, and haptic effects, the digital agent configured to interact with the user in real time, to ask questions, to engage the user.

A smart ring includes a curved housing having a U-shape interior storing components including: a curved battery approximately conforming to the curved housing, a semi-flexible PCB approximately conforming to the curved housing and having mounted thereon: a motion sensor for generating motion data from physical perturbations of the smart ring, a memory for storing executable instructions, a transceiver for sending data to a client computer, a temperature sensor, and a processor for receiving motion data and performing executable instructions in response thereto, and a potting material disposed in the interior, forming an interior wall of the smart ring, wherein the potting material encapsulates the components and is substantially transparent to visible light, infrared light, and/or ultraviolet light.

A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.

The embodiment of the disclosure provides an unlocking control method and related products. The method includes: acquiring an environmental parameter; acquiring first biometric information; determining a first biometric control parameter and second biometric control information corresponding to the environmental parameter; performing a first biometric recognition on the first biometric information according to the first biometric control parameter; when the first biometric information is recognized, acquiring second biometric information and performing a second biometric recognition on the second biometric information according to the second biometric control information; performing a next unlocking process when the second biometric information is recognized. Thus, control parameters of recognition processes can be set suitable for the environment, and recognition processes are controlled based on these control parameters, thereby improving the pass rate and the efficiency of the multi-biometric recognition.

An information presentation control device includes: an analyzer to calculate a degree of risk based on information regarding an object located around a vehicle; an occupant monitor to determine whether a driver is aware of approach of the object, based on information obtained by imaging the driver with a camera; an image processor to cause at least one of the displays to perform alerting display, based on the degree of risk; and a sound processor to cause the sound output device to generate, as an alerting sound, a sound whose sound image is controlled so that a virtual sound source is localized at a position of at least one of the at least one display, based on the degree of risk. When the driver is aware of the object, the sound processor stops generation of the alerting sound or decreases a sound volume of the alerting sound.

It is presented a method performed in a vehicle action determiner for determining an undesired action of a first vehicle and a resulting action. The method comprises: detecting that a first user is focusing on the first vehicle; acquiring brain activity data of the first user; determining a negative reaction of the first user based on the brain activity data; determining when the first vehicle is performing an undesired action based on the first user focusing on the first vehicle and the negative reaction of the first user; determining the resulting action taken by an autonomous vehicle, based on the first vehicle performing the undesired action; and triggering the autonomous vehicle to perform the resulting action.

Embodiments relate to a sensor system for a brain computer interface (BCI) that enable detection and decoding of brain activity by optical tomography. The sensor system includes an array of pixels arranged as grouped pixel units to provide increased dynamic range. One or more of the grouped pixel units can operate in a saturated mode while providing information useful for decoding brain activity. Furthermore, the grouped pixel units are arranged to enable fast readout by a pixel scanner, thereby increasing detection and decoding ability by systems implementing the sensor design. The grouped pixel units of the sensor system are aligned with optical fibers of an interface to a body region of a user, where the optical fibers can be retained in position relative to the grouped pixel units by an optically transparent substrate that provides mechanical support while minimizing factors associated with divergence of light transmitted through optical fibers.