Abstract: A movable carrier auxiliary system includes a driver state detecting device and a warning device. The driver state detecting device includes a physiological state detecting module, a storage module, and an operation module. The physiological state detecting module is adapted to detect a physiological state of a driver. The storage module is disposed in a movable carrier and stores an allowable parameter corresponding to the at least one physiological state. The operation module is disposed in the movable carrier and is electrically connected to the physiological state detecting module and the storage module to detect whether the at least one physiological state of the driver exceeds the allowable parameter or not, and to correspondingly generate a detection signal. The warning device generate a warning message when the detection signal that the at least one physiological state of the driver exceeds the allowable parameter is received.

Abstract: 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).

Abstract: One aspect of this disclosure relates to a sleep position training device for reducing gastroesophageal reflux during sleep. The training device can comprise an orientation sensor, a stimulus generator and a processing system. The orientation sensor can be configured to output a signal indicative of an orientation of the torso of the person. The stimulus generator can be configured to provide a stimulus to the torso of the person when the torso of the person is in a predetermined torso orientation range in a sleeping position. The stimulus generator can be removably affixable to the torso of the person. The processing system can be configured to receive a first signal from the orientation sensor, the first signal being indicative of an orientation of the torso of the person, and to determine that the orientation is within the predetermined torso orientation range in the sleeping position.

Abstract: A arthroplasty trial tool for a human shoulder can include a handle, a first sensor, and a user interface. The handle can include a first end and a second end opposite the first end. The first sensor can produce a first sensor signal as a function of a sensed shoulder condition. The user interface can be configured to display a first value as a function of the first sensor signal.

Abstract: A method of calibrating a monitoring device to generate calibrated vital sign data using a calibration device includes positioning the monitoring device in a first position on a patient, generating vital sign data with a sensing assembly of the positioned monitoring device, and processing the vital sign data with the calibration device to determine if the vital sign data is calibrated vital sign data or uncalibrated vital sign data. The method also includes generating a calibrated data signal if the vital sign data is calibrated vital sign data, generating a reposition signal if the vital sign data is uncalibrated vital sign data, and repositioning the monitoring device on the patient until the calibrated data signal is generated.

Abstract: The present inventions, in one aspect, are directed to systems and circuitry for and/or methods of establishing communication having one or more pairing facilitator-intermediary devices (for example, a network connected server) to enable or facilitate pairing and/or registering at least two devices (e.g., (i) a portable biometric monitoring device and (ii) a smartphone, laptop and/or tablet) to, for example, recognize, interact and/or enable interoperability between such devices. The pairing facilitator-intermediary device may responsively communicates information to one or more of the devices (to be paired or registered) which, in response, enable or facilitate such devices to pair or register. The present inventions may be advantageous where one or both of the devices to be paired or registered is/are not configured (e.g., include a user interface or certain communication circuitry that is configured or includes functionality) to pair devices without use of a facilitator-intermediary device.

Abstract: A rehabilitation evaluation apparatus includes a sensor signal acquisition unit configured to acquire a sensor signal output from a detection sensor, a selection unit configured to select at least one myoelectric signal having a correlation with the sensor signal acquired by the sensor signal acquisition unit from among the plurality of second myoelectric signals on the second-side part acquired by the myoelectric-signal acquisition unit, and a similarity output unit configured to select a first myoelectric signal that has been output from a myoelectric sensor attached in a place that is left-right symmetric to a place of the myoelectric sensor that has output the second correlated myoelectric signal selected by the selection unit from among a plurality of first myoelectric signals on the first-side part acquired by the myoelectric-signal acquisition unit, calculate a similarity between these correlated myoelectric signals, and outputs the calculated similarity.

Abstract: Techniques are disclosed for capturing and monitoring object motion in an AR environment. A first movement sequence may be received. The movement sequence may be an assigned movement routine. Image data of at least one target may be captured and the image data can be augmented with a training object to generate augmented training data. The training object can be caused to perform the first movement sequence. The motion of the at least one target can be recorded relative to the training object using the image data and one or more sensors deployed to the at least one target. A progression of therapeutic routines may be shown to the user depending on how the user's therapy is progressing. A second movement sequence can be received and the training object can be caused to perform the second movement sequence.

Abstract: A ML model arrangement configured for evaluating motion patterns in a sequence of image data structures is described. The ML model arrangement comprises a first ML model configured for predicting a set of key data elements for each image data structure of the sequence of image data structures, a key data element indicating a respective position of a landmark in the image data structure. The ML model arrangement further comprises at least one second ML model, each second ML model being a ML model configured for evaluating a corresponding specific motion pattern. Each second ML model is configured for determining, based on input data comprising at least one of the key data elements predicted for at least one image data structure or data derived therefrom, class labels for each image data structure, said class labels identifying at least one of: at least one motion phase of the specific motion pattern, at least one evaluation point of the specific motion pattern.

Abstract: A surgical robotic system has a robotic grasper, a user interface device (UID), and one or more processors communicatively coupled to the UID and the robotic grasper. The system detects a directive to engage or re-engage a teleoperation mode, determines that the system is in a non-teleoperation mode, receives a sequence of user actions through the UID, determines the UID matches a jaw angle or a grip force of the robotic grasper, and transitions into teleoperation mode. Other embodiments are also described and claimed.

Abstract: Various embodiments concern video patient monitoring with detection zones. Various embodiments can comprise a camera, a user interface, and a computing system. The computing system can be configured to perform various steps based on reception of a frame from the camera, including: calculate a background luminance of the frame; monitor for a luminance change of a zone as compared to one or more previous frames, the luminance change indicative of patient motion in the zone; and compare the background luminance to an aggregate background luminance, the aggregate background luminance based on the plurality of frames. If the background luminance changed by more than a predetermined amount, then the aggregate background luminance can be set to the background luminance, luminance information of the previous frames can be disregarded, and motion detection can be disregarded.

Abstract: Described are apparatus, systems, and methods that are operable to conserve battery power of a wearable device by monitoring a state of the user wearing the wearable device and adjusting power state of one or more components of the device based on the determined user state and/or altering a wireless transmission of sensor data collected by the wearable device from the wearable device to a portable device associated with the user. For example, if it is determined that the user is in a sleep state, the wireless connection between the wearable device and the portable device may be terminated, the wireless transmitter and the processor transitioned to a low power state, and sensor data stored in a buffer memory of the wearable device until a defined period of time before the user exits the sleep state and/or upon satisfaction of a buffer usage threshold.

Abstract: A method of performing arthroplasty of an anatomical joint for receipt of an implant is disclosed. The method includes developing a preoperative plan, designing a patient specific guide based on the preoperative plan, obtaining the patient specific guide, placing the patient specific guide relative to the identified bone, fixing a pair of pins into the bone to establish an Alpha plane and executing the preoperative plan while referencing the Alpha plane. A desired amount of remaining first bone is determined based on a condition of the anatomical joint and a desired orientation of the implant. The patient specific guide includes a pair of bores defined therein and located in positions to accept a complementary pair of pins. The bores are arranged at locations on the patient specific guide to orient the respective pins in a direction optimized for surgeon access to the first bone and to establish the Alpha plane.

Abstract: A fixed-sensor finger action detecting glove has a glove body, five covering sheets, five fixing bases, five sensors, and five fixing assemblies. A side of the glove body forms a hand back section and five finger back sections. The covering sheet is mounted on the finger back section and forms a passage. The fixing base is made from a flexible material, is mounted through the passage, and has two limiting walls. The sensor is located in the passage between the two limiting walls, preventing the sensor from deviating. The fixing assembly is mounted between an end of the sensor and an end of the finger back section, detachably connects the sensor and the finger back section, and prevents the sensor from moving back and forth. Thus, the fixed-sensor finger action detecting glove is capable of detecting actions of the fingers precisely.

Abstract: Methods, apparatuses, and systems for robotic insertion of a screw, a rod, or another component of a surgical implant into a patient are disclosed. Synchronous insertion of screws is performed by multiple surgical robots or a single surgical robot having multiple arms and end effectors. The movements of each robotic arm are coordinated into position in preparation of the insertion of multiple surgical implant components at the same time or in the same surgical step. The insertion of the surgical implant components is performed while monitoring the insertion progress. The insertion is completed autonomously or in coordination with a surgeon.

Abstract: Collision avoidance and postural stability adjustment may provide an effective dual task paradigm to interpret the effect of proprioceptive adaptation on balance control. However, conventionally tasks are physical tasks performed under supervision in specific set up environments. Implementations of the present disclosure provide methods and systems for interpreting neural interplay involving proprioceptive adaptation in a lower limb during a dual task paradigm. The disclosed method provides a better interpreting of the neuronal mechanisms underlying adaptation and learning of skilled motor movement and to determine the relationship of lower limb proprioceptive sense and postural stability by simulating integration of a Single Limb Stance (SLS) functionality test for postural stability and a single limb collision avoidance task, in an adaptive Virtual Reality (VR) environment provided to a subject.

Abstract: Regarding acceleration on each of three axes Gx, Gy, and Gz calculated by a microcomputer, acceleration on one of the three axes is acceleration in a vertical direction perpendicular to the ground, and acceleration on each of the other two axes is acceleration in a direction parallel to the ground, the other two axes being perpendicular to each other. A type of action of the human body in a predetermined period is determined by comparing a predetermined threshold value with the acceleration in the vertical direction in the predetermined period.

Abstract: An electronic fingernail display is disclosed. An LCD or LED display is mounted on a human finger, covering part or all of the nail with a display that can show patterns, images, or other ornamental display items. Electronic controller elements are integrated into the display or a mounting element which provide power, control, and communications capability allowing the display item to be changed without physical removal or modification of the electronic fingernail display.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data characterizing movements performed by a target user. The sequence of motion data is received as a point cloud of the motion data. The point cloud is input a machine-learned model trained based on manually labeled point clusters of a training set of motion data that each represent a movement. The machine-learned model identifies a movement represented by the point cloud of the motion data and assigns a label describing the movement the point cloud. The system generates a labeled representation of the sequence of motion data comprising the label identifying a portion of the sequence of motion data corresponding to the identified movement.

Abstract: A physiological condition assessing method includes: acquiring a driving-time physiological data measured when a subject is driving a vehicle; acquiring a driving-characteristic data indicating driving characteristics; acquiring a period driving-time physiological data, a period driving-characteristic data and period non-driving-time physiological data corresponding to a first period including the measurement time point of the driving-time physiological data and the measurement time point of the driving-characteristic data, and a second period having a different length to the first period; generating a driving-time physiological feature from the driving-time physiological data and the period driving-time physiological data; generating a driving-characteristic feature; generating a non-driving-time physiological feature quantity; and assessing a physiological condition of the subject, from the non-driving-time physiological feature and at least one of the driving-time physiological feature and the driving-char

Abstract: Disclosed are systems and methods for detecting a fall of a user of a wearable device. The described system samples signal data from an accelerometer of the wearable device and performs a preliminary determination of fall detection using pattern recognition. This preliminary detection may be based on whether a first portion of the signal data exceeds a first threshold indicative of a fall of a wearer of the electronic device and whether a second portion of the signal data is within a range indicative of motion stillness following the fall. The described system further applies a machine learning classifier to the signal data associated with the preliminary indication to generate a fall classification indicating the signal data represents a fall of the wearer of the electronic device.

Abstract: A system for nerve stimulation is provided; it comprises a nerve stimulation device configured to execute a set of nerve stimulation instructions for generating electrical pulses for nerve stimulation of a patient. A user electronic device is configured to generate the set of nerve stimulation instructions; and send the set of nerve stimulation instructions wirelessly to the nerve stimulation device.

Abstract: Methods, apparatus and systems for wireless sensing are described. In one embodiment, a described presentation system comprises: a presentation device with a user-interface; a processor communicatively coupled to the presentation device; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: determining a plurality of time series of analytics (TSA) associated with a lifelog of a living object, determining a common time axis for the plurality of TSA, and generating a presentation that presents the plurality of TSA synchronously and jointly in a hybrid manner based on the common time axis. The presentation is presented on the user-interface of the presentation device.

Abstract: A method for classifying subject activities in videos includes learning latent (previously generated) concepts that are analogous to nodes of a graph to be generated for an activity in a video. The method also includes receiving video segments of the video. A similarity between the video segments and the previously generated concepts is measured to obtain segment representations as a weighted set of latent concepts. The method further includes determining a relationship between the segment representations and their transitioning pattern over time to determine a reduced set of nodes and/or edges for the graph. The graph of the activity in the video represented by the video segments is generated based on the reduced set of nodes and/or edges. The nodes of the graph are represented by the latent concepts. Subject activities in the video are classified based on the graph.

Abstract: Conventional systems and methods of classifying heart signals include segmenting them which can fail due to the presence of noise, artifacts and other sounds including third heart sound ‘S3’, fourth heart sound ‘S4’, and murmur. Heart sounds are inherently prone to interfering noise (ambient, speech, etc.) and motion artifact, which can overlap time location and frequency spectra of murmur in heart sound. Embodiments of the present disclosure provide parallel implementation of Deep Neural Networks (DNN) for classifying heart sound signals (HSS) wherein spatial (presence of different frequencies component) filters from Spectrogram feature(s) of the HSS are learnt by a first DNN while time-varying component of the signals from MFCC features of the HSS are learnt by a second DNN for classifying the heart sound signal as one of normal sound signal or murmur sound signal.

Abstract: A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

Abstract: An ambulation assistance wearable device, and related method, includes a support to be removably attached to the body of a person; a power supply anchored to the support; a light source mounted on the support and electrically connected to the power supply, which is configured to emit a beam of visible light toward the ground; a front stepping point where the person moves the foot to generate a bright spot in that point and move forward along an ambulation direction; a sensor that detects at least one control parameter identifying the ambulation condition; and a processing unit connected to the power supply, the light source and the sensor, which controls the activation-deactivation of the light source as a function of the at least one control parameter. The control parameter corresponds to an angle or a displacement measurement related to the instant position of a part of the body during ambulation.

Abstract: A device for detecting acute coronary syndrome (ACS) events, arrythmias, heart rate abnormalities, medication problems such as non-compliance or ineffective amount or type of medication, and demand/supply related cardiac ischemia is disclosed. The device may have both implanted and external components and can communicate with other user devices such as smartphones and smartwatches for monitoring and alerting in response to detected medically relevant events or states of a patient. The processor is configured to provide event detection based upon various criteria including what is found to be statistically abnormal for a patient or what has been defined by a doctor to be abnormal. A patient's cardiovascular condition can be tracked over time using histogram, trend, and summary information related to heart rate and/or cardiac features such as those measured from the S-T segment of heartbeats.

Abstract: A method includes collecting an original signal in a specified time interval, performing combined acceleration processing on the original signal to obtain a combined acceleration signal, combining n data points of the combined acceleration signal into one data segment, extracting a feature point of the data segment, transforming feature points of all data segments into a feature point signal, analyzing the feature point signal to obtain a stable stage and a fluctuation stage of the feature point signal, performing interference period elimination on the feature point signal with the stable stage and the fluctuation stage according to a specified motion rule to obtain a second feature point signal, and counting a quantity of wave crests of the second feature point signal, where the quantity of wave crests is a quantity of steps.

Abstract: A computer-implemented method for pelvic floor feedback. The method includes capturing a strength of action potentials via wireless sensors, the wireless sensors positioned proximate to a pelvic floor of a user. The method also includes transmitting the strength of the action potentials to a mobile device. The method also includes recording the strength of the action potentials on the mobile device.

Abstract: Systems and methods for reducing vibrations perceived by a human due to an artificial heart valve include a vest that is wearable around a torso of the human, a plurality of sensors mounted to the vest, a plurality of vibration-generating actuators mounted to the vest, and a controller. The plurality of sensors detects vibrations in the human generated by the artificial heart valve. The controller is operable to receive signals representing the detected vibrations from the plurality of sensors, and is operable to produce anti-vibration signals that substantially attenuate the detected vibrations. A first sensor of the plurality of sensors is located near a first vibration-generating actuator of the plurality of vibration-generating actuators to form a sensor/actuator set. In the sensor/actuator set, the anti-vibration signals generated by the controller for the first vibration-generating actuator correspond to the vibrations detected by the first sensor.

Abstract: An earpiece for a hearing device includes an ear canal part to be introduced into an ear canal of a user, the ear canal part comprising: an earpiece housing comprising a first end configured to be positioned medially inside the ear canal of the user, and a second end configured to be positioned laterally to the ear canal of the user, wherein the earpiece housing comprises a side wall between the first end and the second end; and a primary sensor, wherein the primary sensor is positioned inside a first volume in the earpiece housing; wherein the side wall of the earpiece housing comprises a first pass-through area, and wherein the primary sensor is configured to measure a physiological parameter through the first pass-through area.

Abstract: Determining gait patterns and abnormalities of a user includes forming a plurality of point clouds corresponding to the user, each of the point clouds being three-dimensional coordinates of moving points, frame by frame, through a data capturing session, determining centroids of the point clouds, determining momentary walking velocities using estimates based on vectors connecting the centroids for adjacent frames captured during walking of the user, determining gait speed for the user based on the momentary walking velocities, determining at least one distribution of gait speeds for the user, and detecting gait abnormalities based on deviation of the gait speed from the at least one distribution of gait speeds. Detecting a plurality of point clouds may include using a tracking device to capture movements of the user. The tracking device may use radar and/or lidar. The system may determine a gait pattern of the user corresponding to routines of the user.

Abstract: Methods and systems for monitoring workplace safety and evaluating risks is provided, the method comprising receiving signals from at least one wearable device, identifying portions of the signals corresponding to physical activities, excerpting the portions of the signals corresponding to the physical activities, and calculating risk metrics based on measurements extracted from the excerpted portions of the signals, the risk metric indicative of high risk lifting activities.

Abstract: The present disclosure discloses a step counting device that includes a motion detection circuit, a storage circuit and a processing circuit. The motion detection circuit detects a body movement to generate a detection signal. The processing circuit executes computer executable commands to execute the steps outlined below. The detection signal is received from the motion detection circuit. Key data points from the detection signal and representing a simplified waveform are approximated and stored in the storage circuit, each corresponding to a turning data point within a predetermined time period of the detection signal. Periodic waveform sections in the simplified waveform are identified, wherein an error value of waveform parameters between each two of the periodic waveform sections is smaller than a predetermined value. A step group count including a left step and a right step corresponding to each of the periodic waveform sections is accumulated.

Abstract: Systems and methods for monitoring a range of motion of a joint are described. For example, in one embodiment, a first set of sensors may sense accelerations of a first body portion located on a first side of the joint and a second set of sensors may sense accelerations of the second body portion located on a second opposing side of the joint. The acceleration data may then be used to compute the relative motion of the first and second body portions to determine movement of the joint. This joint movement may then be used to determine one or more range of motion movement metrics which are output for viewing by a subject or medical practitioner.

Abstract: An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A force-controlled motor is attached to the mechanical support system and a reel is driven by the force-controlled motor. The interactive exercise system also has a handle graspable by a user and includes a cord extending between the reel and the handle. Force applied through the force-controlled motor is based at least in part on detected user force input.

Abstract: A dementia information output system according to an aspect of the present invention includes: an acquisition unit configured to acquire an amount of body motion of a user; a determining unit configured to determine a likelihood that the user is developing a mild dementia or the like on the basis of a variability degree that is a degree by which an amount of body motion varies over a plurality of days in each of a plurality of time periods; and an outputting unit configured to output dementia information indicating the likelihood determined by the determining unit.

Abstract: Embodiments include a system comprising a gateway that includes a processor coupled to sensors and/or network devices installed at a premises. The system includes a remote server coupled to the gateway and located remote to the premises. The gateway and/or the remote server includes data of the sensors and/or network devices. The system includes an application running on at least one of the gateway and the remote server. The application controls events corresponding to the data and/or the premises in response to content of the data. The system includes a client interface coupled to the gateway and/or the remote server. The client interface presents the data to client devices.

Abstract: Rider location and acceleration sharing systems are provided herein. For instance, a system is paired with a wireless transceiver, mountable to or within headwear that outputs location data and accelerometer data associated with the user identity to a user device. Once members of the group of user devices are validated for movement together, an emergency event associated with a member of the group may be identified based on the accelerometer data or the location data, and, in response to the emergency event, emergency event data is sent to the respective other user devices, and other information is enabled to be received from any of the respective other user devices.

Abstract: An action planning system (100) and method for autonomous vehicles are provided. The system (100) comprises one or more processors (108) and one or more non-transitory computer-readable storage medium (110) having stored thereon a computer program used by the one or more processors (108), wherein the computer program causes the one or more processors (108) to estimate future environment of an autonomous vehicle (114), generate a possible trajectory for the autonomous vehicle (114), predict motion and reactions of each dynamic obstacle in the future environment of the autonomous vehicle (114) based on current local traffic context, and generate a prediction iteratively over timesteps.

Abstract: A balance training apparatus that allows a training person having a disease in his/her balance function to perform appropriate rehabilitation training safely in order to recover the balance function is provided. The balance training apparatus includes a moving carriage configured to be able to move on a moving surface by driving a driving unit, a detection unit configured to detect a load received from training person's feet standing on the moving carriage, a calculation unit configured to calculate a load's center of gravity of the training person's feet on a boarding surface from the load detected by the detection unit, and a control unit configured to convert a displacement amount of the load's center of gravity into a control amount using a setting selected from a plurality of settings, and drive the driving unit based on the control amount to control movement of the moving carriage.

Abstract: This invention refers to a device that reduces and counteracts human motor symptoms (tremor in the upper limbs, muscular stiffness, bradykinesia or slowness in movements, postural disruptions, Parkinsonian walking and freezing in the walking) caused by Parkinson's disease. The device produces vibration by means of a micro-motor that can be modulated in time, speed and power. A laser diode generates a light that is projected in the ground in the form of a horizontal line, a Bluetooth module communicates this device with different intelligent electronic devices and with applications. These components are powered by a rechargeable handheld power source. The components are powered by a rechargeable handheld electric energy source.

Abstract: Methods, systems, and non-transitory machine-readable media associated with an emergency assistance response are described. A system for an emergency assistance response can include a non-transitory machine-readable medium comprising a processing resource in communication with a memory resource having instructions executable to receive signaling associated with monitored health data. The instructions can be executable to track the received signaling, identify, output data representative of abnormal health data based on the tracked received signaling, and transmit the output data to a wearable device. The wearable device can receive the output data representative of the abnormal health data, provide a prompt via a user interface to a wearer of the wearable device associated with the abnormal health data, determine a response to the abnormal health data based on a reply or non-reply from the wearer via the user interface, and transmit the response to the processing resource.

Abstract: A balance training system includes a moving carriage that moves on a moving surface, and a detection unit that detects a load received from training person's feet, and drives a driving unit based on the load's center of gravity of the feet to control movement of the moving carriage. A boarding plate is divided into a front plate on which a toe side of the feet is placed and a rear plate on which a heel side of the feet is placed. The detection unit includes right and left front load sensors, respectively provided with tilts to right and left foot sides, on a rear surface side opposite to the boarding surface of the front plate, and right and left rear load sensors, respectively provided with tilts to the right and left foot sides, on a rear surface side opposite to the boarding surface of the rear plate.

Abstract: Systems, methods, and techniques for operating a patient support apparatus are disclosed. The patient support apparatus includes moveable components and actuators to actuate the components. A user interface receives a user input to manipulate the actuatable components and produces an input signal in response to receiving the user input. A behavior controller receives the input signal from the user interface, generates a motion command signal based on the input signal, and transmits the motion command signal. A motion controller receives the motion command signal from the behavior controller and receives feedback signals from one or more of the actuators. The feedback signals are provided solely to the motion controller. The motion controller controls one or more of the actuators to actuate one or more of the actuatable components based on the motion command signal and the feedback signals.

Abstract: An inertial measurement unit includes: a sensor unit having at least one inertial sensor; a display unit performing a display based on detection information from the inertial sensor; and a mode changeover switch. The mode changeover switch changes a display mode of the display unit.

Abstract: The present invention relates to infant monitoring equipment, and particularly relates to apparatuses and methods for non-invasive monitoring and tracking of infants' vital health parameters, and for raising alerts on prediction or detection of one or more predefined health conditions. The invention provides apparatuses, methods and computer program products for non-invasive monitoring of blood analytes in a subject, and in particular embodiments, in infants.

Abstract: An AI agent may be trained using online session logs of actual customers interacting with an online software application. Datasets may be generated using the session logs, and the AI agent may be trained to use the online application by applying various machine learning techniques to the datasets. The AI agent may be provided login credentials and instructed to log into and perform specified tasks using the online application as part of training. Once trained, the AI agent may be instructed to perform the same or other tasks using a modified version of the application. The AI agent mimics the responses and behaviors of actual users of the modified application. The AI agent can be trained to mimic users sharing a certain demographic characteristic, and its performance can be used to more effectively and efficiently enhance the software application for users at large and/or for users in the demographic.

Abstract: For generating a breathing alert is disclosed, a method receives a video stream of a subject. The method further estimates a breathing signal from the video stream. The method determines one of a large-scale motion and/or a breathing event of the subject based on the breathing signal. The method generates an alert if both no breathing event is identified and no large-scale motion of the subject is identified within an event time interval.