Abstract: Systems and methods are disclosed for determining a distraction level of a driver. A real-time driver analysis computer may receive sensor data from one or more driver analysis sensors. The real-time driver analysis computer may analyze the sensor data to determine a distraction level of a driver. Based on the distraction level, the real-time driver analysis computer may send one or more control signal to the vehicle and output one or more alerts to a mobile device associated with the driver.

Abstract: An acquisition unit acquires vehicle information and a moving image frame as image information captured by an imaging unit from a database. A recognition unit recognizes opening and closing of an eye of a driver, a direction of a face, and a gaze point. An extraction unit extracts, from among the captured images acquired by the acquisition unit, a captured image in which the eye is closed and the face is facing forward in a predetermined range.

Abstract: Systems and methods for automatically identifying and ascertaining an estimated amount of damage at a location by utilizing one or more autonomous vehicles, e.g., “drone” devices, to autonomously capture data of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured data and construct a 3-D model of the location.

Abstract: Evasive steering assist (ESA) systems and methods for a vehicle utilize a set of vehicle perception systems configured to detect an object in a path of the vehicle, a driver interface configured to receive steering input from a driver of the vehicle via a steering system of the vehicle, a set of steering sensors configured to measure a set of steering parameters, and a controller configured to determine a set of driver-specific threshold values for the set of steering parameters, compare the measured set of steering parameters and the set of driver-specific threshold values to determine whether to engage/enable an ESA feature of the vehicle, and in response to engaging/enabling the ESA feature of the vehicle, command the steering system to assist the driver in avoiding a collision with the detected object.

Abstract: Disclosed is a simulation learning-based drowsy driving simulation platform system for detecting careless driving in conjunction with deep learning, the simulation learning-based drowsy driving simulation platform system comprising: a drive state warning device configured to determine a driver's careless driving from a captured image, determine a driver's careless driving determination level, and output the determined level; a smart cruise control interworking part configured to transmit the driver's careless driving determination level outputted from the drive state warning device; and a smart cruise control processing part configured to control a vehicle according to the driver's careless driving determination level transmitted by the smart cruise control interworking part, during a smart cruise control operation.

Abstract: An estimation device includes processing circuitry configured to acquire time-series data of a pupil diameter during work of a subject of work performance estimation, smooth the time-series data of the pupil diameter of the subject by a first time window, smooth the time-series data of the pupil diameter by a second time window that is a time window larger than the first time window, calculate a difference between time-series data of the pupil diameter smoothed by the first time window and time-series data of the pupil diameter smoothed by the second time window, and estimate a level of work performance of the subject based on a magnitude of the difference between the time-series data of the pupil diameter smoothed by the first time window and the time-series data of the pupil diameter smoothed by the second time window, and output a result of the estimation.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a process may include determining a potential position overlap between a first vehicle and a second vehicle and determining a characteristic of at least one of the first vehicle or the second vehicle based on information from a vehicle-based message. The process may include determining whether the potential position overlap is an actual position overlap between the first vehicle and the second vehicle based on the characteristic.

Abstract: A travel route generation system includes: a first collector that collects running location information indicating running locations through which a plurality of vehicles have run; a second collector that collects vehicle-related information related to the plurality of vehicles; a memory that stores the vehicle-related information in association with the running location information; a criteria inputter that receives inputs of screening criteria including a criterion regarding the vehicle-related information; a processor that generates a recommended running route according to the screening criteria and based on the running location information and the vehicle-related information which are stored in the memory; and an outputter that outputs the recommended running route generated by the processor.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: receiving sensor data detected by one or more image sensors in a vehicle, wherein the sensor data is representative of driver movements of a driver in the vehicle; categorizing the sensor data as driver postures representative of actions of the driver in the vehicle; rotating and scaling the driver postures to be standardized for different drivers and for different locations of the one or more image sensors within different vehicles; analyzing the sensor data to determine a reference position of the driver in the vehicle; and storing, in a database, the driver postures, as rotated and scaled, and the reference position of the driver in the vehicle. Other embodiments are disclosed.

Abstract: Monitoring of a full cabin of a vehicle (e.g., including driver and passengers) is provided using a single 2D camera and adaptively applying monitoring algorithms based on different signals, based on a person's state as determined from images of the cabin and/or based on a signal from a non-image sensor. Together with logic to decide which algorithms to run based on available compute resources, embodiments of the invention provide efficient monitoring of the vehicle.

Abstract: Systems including dual-aperture zoom digital cameras with scanning optical path folding elements (OPFEs) for automotive or surveillance applications and methods for operating and using same. In some embodiments, a dual-aperture zoom digital camera comprises a Wide camera with a Wide field of view FOVW, a Wide sensor and a Wide lens, wherein the Wide camera is operative to output Wide image information, a Tele camera with a Tele field of view FOVT smaller than FOVW and with a Tele sensor, a Tele lens with a Tele lens optical axis and a scanning OPFE, and a processing unit operative to detect an object of interest (OOI) from Wide and/or Tele image information and to direct the Tele camera to move FOVT to acquire Tele image information on the OOI.

Abstract: A smart tolling system employs computer vision and machine learning techniques to automatically track and monitor vehicles across multiple video streams captured by a networked camera assembly. The system derives comprehensive vehicle trajectories by stitching together detections of each vehicle from the various video feeds using multi-object tracking algorithms. These trajectories enable correlating different events triggered by the vehicles at multiple roadside devices like cameras and radars. By mapping the trajectories in space and time, the system can associate seemingly fragmented events and synthesize complete vehicle profiles even when certain events may have missed capturing some vehicle information due to obstructions or other factors. This trajectory-based event correlation enhances tolling accuracy by minimizing revenue leakage from missed or incomplete vehicle data in congested traffic conditions.

Abstract: A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

Abstract: The present disclosure relates to an evaluation apparatus which evaluates autonomous driving performed by the autonomous driving vehicle. The present disclosure provides a technique which enables carrying out a questionnaire composed of one or more appropriate questions while reducing the number of the questions. The questionnaire apparatus includes a question management unit configured to manage one or more questions prepared for a passenger of an autonomous driving vehicle to evaluate autonomous driving, an information acquisition unit configured to acquire driving environment information and driving state information related to the autonomous driving, and a question determination unit configured to determine one or more request questions for requesting an answer from the passenger from among one or more managed questions based on at least one of the driving environment information and the driving state information.

Abstract: A system preventing an impaired driver from starting a vehicle has a mobile application executing on a portable communication device having a display screen, user-operable input elements, a microphone audio input, a speaker and wireless communication circuitry, a hardware component integrated into wiring of the vehicle, the hardware component comprising a normally open switching element operable by wireless signal from the portable communication device, that when open prevents the vehicle from starting, and an interactive interface displayed on the display screen. The interactive interface requests specific action from a candidate driver, records the candidate driver's action, determines if the action indicates the candidate driver is impaired, and if not impaired, signals the hardware component wirelessly to close the normally open switching element for a predetermined time, enabling the candidate driver to start the vehicle.

Abstract: System and computer-implemented method for determining a cognitive demand level of a user, the method comprising: recording, as a first training data subset, one or more first biosignals of a user, wherein the user is occupied with at least one first task, training an artificial neural network on a training dataset to determine a cognitive demand level indicative of cognitive demand the user is experiencing; recording one or more second biosignals of a user of a vehicle as an input dataset; and processing the input dataset by the trained artificial neural network to determine the cognitive demand level indicative of cognitive demand the user is experiencing.

Abstract: An apparatus for human performance exhalation sensing, comprising a housing, wherein the housing comprises an inlet tube configured to receive exhaled gas from an individual, a sensing device positioned within the inlet tube, at least a processor, and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive performance data related to at least a task assigned to the individual, generate a performance metric of the individual as a function of the performance data, wherein the performance metric comprises a performance parameter associated with the at least a task, generate a breath profile of the individual as a function of data collected from the exhaled gas, generate a performance determination of the individual as a function of the performance parameter and the breath profile, and alert the individual based on the performance determination.

Abstract: Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves a controller associated with a vehicle identifying a visual attention state associated with a driver of the vehicle based at least in part on output of an imaging device onboard the vehicle, determining, based at least in part on the visual attention state, a driver lane preference corresponding to an adjacent lane in a visual attention direction relative to a current lane of travel for the vehicle, adjusting a priority associated with the adjacent lane corresponding to the driver lane preference and autonomously operating one or more actuators onboard the vehicle to initiate maneuvering the vehicle from the current lane in a manner that is influenced by the adjusted priority associated with the adjacent lane.

Abstract: A method and a system of deploying ignition interlock device functionality. The method comprises receiving data in authentication of a user account associated with the IID; rendering a user interface at the mobile computing device, the user interface including indication of a status of the user account associated with the IID; and receiving a selection of a user action responsive to the status of the user account associated with the IID.

Abstract: A driver availability detection device includes an information acquisition unit to acquire information related to an occupant and a threshold setting unit to set an abnormal-state determination threshold for estimating the abnormal state of the occupant on a basis of an abnormal state score obtained by inputting the information related to the occupant acquired by the information acquisition unit to a machine learning model within a first threshold setting time.

Abstract: Provided is an information processing device including a control unit that: stores a plurality of first notifications for prompting a safety action in association with the safety action to be taken by a user; selects one first notification from among the plurality of the first notifications when a determination is made to prompt the user to take the safety action in accordance with a behavior of the user; and outputs a presentation instruction for the selected one first notification.

Abstract: A vehicle may be operated in a driving mode with autonomous lateral control and in a driving mode with manual lateral control, where the vehicle has a steering lever with a steering lever range, and where the steering lever range represents a circular space which is delimited about 360° by a rotational movement of the steering lever about a steering lever axis of rotation. A method associated with the vehicle may include one or more of the following steps: operating the vehicle in a driving mode with autonomous lateral control; detecting an intrusion in the steering lever range and/or a breaching of a predefined distance from the steering lever range by the vehicle occupant or another object with a sensor unit without the vehicle occupant coming into contact with the steering lever; and signaling the intrusion and/or the breaching of the distance to the vehicle occupant.

Abstract: A driving support device includes: a driving state monitoring portion configured to monitor a plurality of driving states including a gripping position of a steering wheel of an occupant of a vehicle; a positive value calculation portion configured to calculate a positive value indicating a degree of positiveness of the occupant with respect to steering based on the plurality of driving states monitored by the driving state monitoring portion; and a lane keep assistance control portion configured to perform lane keep assistance control of guiding a steering operation of the occupant so that the vehicle does not deviate from a traveling lane based on the positive value calculated by the positive value calculation portion.

Abstract: Techniques and methods for securing vehicle systems. For instance, an authorization system may store data representing frequencies at which destination locations are associated pick-up locations for a fleet of autonomous vehicles. The authorization system may then receive a request for an autonomous vehicle to pick up a passenger at a first location and drop off the passenger at a second location. Based on the first location and the second location, the authorization system may determine a frequency for the request. The authorization system may then determine whether a control system for the fleet of autonomous vehicles is compromised based on whether the frequency is less than or equal to a threshold frequency. If the authorization system determines that the control system is compromised, the authorization system may perform a remedial action, such as notifying a teleoperator.

Abstract: A control device includes: a controller controlling a first vehicle, the controller being configured to estimate a degree of concentration of a driver in the first vehicle during traveling of the first vehicle based on a first distance between the first vehicle and a second vehicle traveling in front of the first vehicle, a second distance between the first vehicle and a third vehicle traveling behind the first vehicle, and a relationship between a vehicle speed of the first vehicle and a predetermined vehicle speed, and execute a vehicle control of recovering the concentration of the driver based on an estimation result.

Abstract: The present invention connects patients with nearby health care providers by receiving patient information such as name, address, phone number and email. The information is then transmitted to a medical facility that can provide care. The medical facility information is then sent to the processing device for analyzation. The patient is then matched with a primary medical facility and receives a notification. The notification provides the patient with the location directions to the primary medical facility and the estimated wait time before the patient will be seen by a medical professional. For low-income patients a convenient and low-priced form of transportation will be provided picking the patient up and transporting the patient to the primary medical facility.

Abstract: Systems and methods for maintaining autonomous vehicle operator awareness are provided. A method can include determining, by a computing system, an awareness challenge for an operator of a vehicle. The awareness challenge can be based on object data. The awareness challenge can have one or more criteria. The criteria can include a challenge response interval, a response time, and an action for satisfying the awareness challenge. The method can include initiating, by the computing system, a timer measuring elapsed time from a start time of the challenge response interval. The method can include communicating to the operator, by the computing system, a soft notification indicative of the awareness challenge during the challenge response interval. The method can include determining, by the computing system, whether the operator provides a user input after the response time interval and whether the user input corresponds to the action for satisfying the awareness challenge.

Abstract: An artificial intelligence system is enabled for an autonomous vehicle to calculate a plurality of trajectory paths. The system is enabled to identify and recognize objects. The autonomous vehicle is enabled using a convolutional neural network to determine various paths associated with the autonomous vehicle and also of other moveable objects in the environment. The autonomous vehicle is further enabled to use a cloud based server or edge computing device to pre calculate environments including predictions of environments. Upon an threshold of paths available an aggressive driving move may be authorized to proceed by the autonomous vehicle. The system is enabled to identify and recognize objects using a plurality of sensors including vision-based sensors, image sensors, video sensors, camera sensors, LIDAR, and sensor fusion. Data from various sensors may be combined and fused together to provide enhanced input to the autonomous vehicle.

Abstract: A system for monitoring an alertness level of an occupant of a vehicle includes a first sensor operable to detect an event exterior to the vehicle. A second imager is operable to capture an image of the occupant. A controller is in electrical communication with the first sensor and the second sensor. The controller is configured to determine a target direction aligning with a region of the event. The controller is further configured to determine a viewing direction of the occupant based on the image. The controller is further configured to compare the target direction to the viewing direction. The controller is further configured to determine the alertness level of the driver based on the comparison of the target direction to the viewing direction.

Abstract: A microelectromechanical weather pattern recognition system includes: at least one movement sensor, of a MEMS type, which generates a movement signal, in the presence and as a function of at least one weather pattern to be recognized; and a recognition circuitry, which is coupled to the movement sensor and which receives the movement signal; extracts given features of the movement signal; and perform processing operations, based on the given features of the movement signal, in order to recognize the weather pattern by executing at least one, appropriately trained, machine-learning algorithm.

Abstract: Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user's attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

Abstract: Disclosed is a system for preventing drunk driving of a vehicle, the system including: an input unit through which a transfer intention to transfer a control privilege of a vehicle from a registered driver to a passenger is input; a sobriety determination unit configured to determine a current driver's inebriation state through a breathalyzer provided in the vehicle when the transfer intention is input through the input unit; a driver verification unit configured to identify personal information of the current driver seated on a driver's seat; and a control unit configured to transfer the control privilege of the vehicle to the passenger when the passenger is measured as being able to drive by the sobriety determination unit and the passenger and the current driver are identified to be the same by the driver verification unit.

Abstract: A driver abnormality determination apparatus includes circuitry configured to detect a driver state of a driver of a vehicle, detect a driving operation of the driver, detect an exertion level of an involuntary function of the driver based on the driver state, detect an exertion level of a driving function of the driver based on the driving operation; and determine driver abnormality based on the execution level of the involuntary function and the execution level of the driving function. On condition that a function level of one of the execution level of the involuntary function and the execution level of the driving function is equal to or lower than a specified determination criterion, the circuitry is configured to relax a determination criterion for the other function level.

Abstract: An agricultural machine includes a vehicle body, an obstacle detector to detect obstacles, an autonomous travel controller to perform autonomous travel of the vehicle body, the autonomous travel controller being configured or programmed to, when performing the autonomous travel, stop the vehicle body based on detection information about an obstacle detected by the obstacle detector, and a mode switch to switch a mode during the autonomous travel in an agricultural field between an effective mode in which the stopping of the vehicle body based on the detection information is allowed and an ineffective mode in which the stopping of the vehicle body based on the detection information is not allowed.

Abstract: A safe driving determination apparatus includes an angle value calculation part that calculates an angle value indicating a face direction angle of a driver with respect to the traveling direction, and a determination part that determines whether or not the driver is in a state of being inattentive to the road ahead on the basis of whether or not an integrated value of angle values during a past predetermined first determination period is equal to or greater than a threshold value, wherein the determination part does not determine that the driver is in a state of being inattentive to the road ahead if the angle value of the driver is less than a second threshold value at the present moment, even if an integrated value of angle values during a past predetermined first determination period is equal to or greater than a first threshold value.

Abstract: A system for transportation includes a vehicle configured to have a rider located therein or thereon, and an expert system to produce a recommendation for a configuration of the vehicle, wherein the recommendation includes at least one recommended parameter of configuration for the expert system that controls a parameter selected from the group consisting of a vehicle parameter, a rider experience parameter, and combinations thereof.

Abstract: A system for operating a vehicle based on a state of a rider includes an artificial intelligence system, a vehicle control system, and a feedback loop. The artificial intelligence system processes a sensory input from a wearable device in a vehicle to determine a state of a rider and optimizes an operating parameter of the vehicle to improve the state of the rider. The artificial intelligence system includes a neural net with a perceptron to mimic human senses to facilitate determining a state of a rider based on an extent to which at least one of the senses of the rider is stimulated. The vehicle control system adjusts vehicle operating parameters and the feedback loop indicates the change in the state of the rider, where the vehicle control system adjusts at least one of the plurality of vehicle operating parameters responsive to the indication of the change.

Abstract: Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operation data and ancillary data. Based on the received vehicle operation data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operation data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operation data and the received ancillary data.

Abstract: A device for non-invasive monitoring and measuring of intraocular pressure (IOP) of a subject includes a flexible lens that fits on the eye and changes curvature in response to a change in curvature of the eye. A microchannel disposed in or on the lens has one or more ends that are open to the atmosphere and an indicator solution is disposed in a portion of the 5 microchannel. The microchannel exhibits a change in volume in response to a change in curvature of the lens, which results in a change in position of the indicator solution in the microchannel. The change in position of the indicator solution in the microchannel is indicative of a change in IOP. The change in position of the indicator solution may be detected in digital images of the lens taken with a camera of a mobile electronic device such 0 as a smartphone or a camera worn by the subject.

Abstract: A driver monitor includes a processor configured to: detect the posture of a driver of a vehicle from an image of the interior of the vehicle generated by a camera provided on the vehicle, determine that the driver's condition is abnormal, when the detected posture satisfies an abnormality determining condition, detect an unusual sound made by the driver of the vehicle, based on a voice signal of the interior of the vehicle obtained by a microphone provided on the vehicle, and make the abnormality determining condition for the case where the unusual sound is detected less strict than an abnormality determining condition for the case where the unusual sound is not detected.

Abstract: In an image processing apparatus, a foreground extraction unit extracts each foreground from input images, and generates a foreground extraction result. A movement trajectory feature extraction unit tracks each foreground based on the foreground extraction result, and extracts a movement trajectory feature of the foreground. The area variation feature extraction unit extracts an area variation feature representing a temporal area variation of each foreground. A foreground center estimation unit estimates a center of each foreground using the movement trajectory feature and the area variation feature.

Abstract: An apparatus for detecting a hand region includes a processor configured to: calculate a confidence score indicating a probability that a hand is represented for each pixel of a target image, determine, for each of predetermined points on an edge of the image, a probability that a hand extends outside the image at the predetermined point, set a lower hand region detection threshold at a predetermined point having a higher probability that a hand extends outside the image, set a hand region detection threshold of each pixel of the image at a value calculated by averaging hand region detection thresholds of the predetermined points respectively weighted by the distances from the pixel to the predetermined points, and detect a set of pixels in which the confidence score of each pixel is higher than the hand region detection threshold set for the pixel, as a hand region representing a hand.

Abstract: An image processing method includes acquiring an image frame; tracking a face region of a user based on first prior information obtained from at least one previous frame of the image frame; based on a determination that tracking of the face region based on the first prior information has failed, setting a scan region in the image frame based on second prior information obtained from the at least one previous frame; and detecting the face region in the image frame based on the scan region.

Abstract: Systems, methods, and computer-readable media are disclosed for determining obstacle data based on sensor data such as greyscale data and depth data. Based on the obstacle data navigation data may be determined and used by an autonomous vehicle to navigate an environment such as a warehouse or storage facility. The obstacle data may be determined by determining three-dimensional representations of the greyscale data and the depth data and segmented and combining or fusing the three-dimensional representations of the greyscale data and the depth data. The system used to determine the obstacle data may be trained to avoid false obstructions and omitted obstructions.

Abstract: An information processing apparatus that controls scenery display according to a current position of a mobile body is provided. The information processing apparatus includes a detection unit that detects a region where a predetermined object outside the mobile body appears within a window of the mobile body, a display unit that displays a transmissive region and a non-transmissive region within the window, and a control unit that controls the display unit based on the detected region. The detection unit detects an appearance place where the object appears in the window, based on a current position of the mobile body, a moving speed and a traveling direction of the mobile body, and position information associated with the object. Thereafter, a transmissive region is displayed in the region where the object appears, or a non-transmissive region that masks a region where the object is absent is displayed in the window.

Abstract: A seat belt sensor assembly comprises a force sensor coupled to a seat belt webbing. The seat belt sensor assembly utilizes force readings from the force sensor indicating a force level above or below a predetermined threshold to determine if an action needs to be taken to control a vehicle system. Such vehicle systems could include, but are not limited to, an autonomous driving control system, an occupant health system, and a motorized seat belt retractor system. Controlling the vehicle systems could include, but is not limited to, sending audio, visual, and/or haptic warnings to vehicle occupants, including, in one embodiment, that the occupant's respiration rate is indicative of a dangerous health condition. The seat belt sensor assembly may be used in combination with a camera-based occupant monitoring system. In one embodiment, the occupant monitoring system can be used to selectively activate/deactivate discrete activation zones of the force sensor.

Abstract: A vehicular driver monitoring system includes a driver monitoring camera disposed at an interior rearview mirror assembly of a vehicle. The driver monitoring camera views a driver of the vehicle when the driver is driving the vehicle. The driver monitoring camera captures image data. An image processor is operable to process image data captured by the driver monitoring camera. The vehicular driver monitoring system determines driver performance based at least in part on (i) image processing by the image processor of image data captured by the driver monitoring camera, (ii) a vehicle characteristic and (iii) a condition exterior of the equipped vehicle. The vehicle characteristic includes at least one selected from the group consisting of (a) vehicle speed, (b) vehicle acceleration and (c) vehicle orientation.

Abstract: A method for determining driving parameters includes: acquiring driving data of a driver; extracting driving features of the driver based on the driving data, where the driving features include first operation frequency of a first component of a vehicle and second operation frequency of a second component of the vehicle; determining, based on the driving features, a first probability that the driver has a first driving style and a second probability that the driver has a second driving style; and determining the driving parameters based on the first probability and the second probability, where the driving parameters include at least longitudinal acceleration and longitudinal deceleration. The method can dynamically adjust automated driving parameters to meet the driving style of the driver, thereby effectively improving user experience.

Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.

Abstract: A system for man-machine interaction for a vehicle is disclosed. The proposed system includes an interactive reflected display on a windscreen of the vehicle; an eye tracking module including an eye gaze tracker for tracking eye gaze direction of a user, and a training unit to train the tracking module using a neural network to predict a real-time set of coordinates for eye gaze direction of the user based on a created reference data set of coordinates of the display; a finger tracking module to detect presence of a finger of the user and track movement of the finger; a cursor module configured to, on the basis of a received input, move a cursor on the display to an area of interest on the display; and a wireless switch module operatively coupled to the display for selecting a target in the area of interest on the display.