Abstract: The present invention provides for a data acquisition system for EEG and other physiological conditions, preferably wireless, and method of using such system. The wireless EEG system can be used in a number of applications including both studies and clinical work. These include both clinical and research sleep studies, alertness studies, emergency brain monitoring, and any other tests or studies where a subject's or patient's EEG reading is required or helpful. This system includes a number of features, which enhance this system over other systems presently in the marketplace. These features include but are not limited to the having multiple channels for looking at a number of physiological features of the subject or patient, a built in accelerometer for looking at a subject's or patient's body motion, a removable memory for data buffering and storage, capability of operating below 2.

Abstract: A system and method for determining a measurement of anxiety in a vehicle that include receiving sensor data from a plurality of sensors disposed within a plurality of areas of the vehicle. The system and method also include processing the sensor data into metrics associated with a type of measurement. Processing of the sensor data is completed by a neural network. The system and method also include analyzing the processed metrics and determining an anxiety level associated with an occupant of the vehicle. The system and method further include training the neural network based on the anxiety level and at least one driving event that is correlated with the anxiety level.

Abstract: The present invention provides group performance monitoring systems and methods.

Abstract: Systems and methods for controlling a passive prosthetic knee joint with adjustable damping in the direction of flexion such that a prosthetic unit attached to the knee joint can be adapted for climbing stairs.

Abstract: Systems and methods for providing low-power sensing, identification, and sweep detection for items on a sensor mat are provided. Item detection sensors are provided in grid on a sensor mat. A first subset of the item detection sensors are sensed at a first time, and a second subset of the item detection sensors are sensed at a second time. The item detection sensors of the first and second subsets are chosen such that they span the surface of the sensor mat, and so that the sensors of the chosen subsets include all of the sensors of the mat after multiple sensing steps have been completed.

Abstract: In one example, an apparatus. includes a shoe having a sole with at least a portion of foam replaced with a composite polymeric foam, at least one probe disposed in the composite polymeric foam, a voltage detector coupled to the probe that detects voltage data generated by the composite polymeric foam, and a transformation module that converts voltage data generated by the composite polymeric foam in response to deformation events into GRF, acceleration, or pressure data. In another example, a method includes receiving voltage data produced by composite polymeric foam, the composite polymeric foam providing support and padding in the sole of a shoe, converting the voltage data to force data, comparing the force data to a profile, and transmitting, when the force data fails to fall within a threshold of the profile, a feedback signal to a physical feedback device, the feedback signal indicating a difference with the profile.

Abstract: The disclosure provides tissue force sensor systems and methods for tissues, e.g., laryngeal tissue. The systems include a top housing including on an upper side an attachment mechanism for connecting the top housing to a medical device, e.g., a laryngoscope, and on a lower side a first cavity for receiving a top portion of a force measurement device such as a load cell; a bottom housing including on a lower side an attachment mechanism for connecting the bottom housing to a handle, holding system, or suspension system for holding or supporting the medical device, and on an upper side a second cavity for receiving a bottom portion of the force measurement device; and an attachment device for connecting the top housing to the bottom housing.

Abstract: According to certain embodiments, an apparatus for applying negative pressure to a wound can include a negative pressure source, a sensor, and a controller. The negative pressure source can be configured to couple via a fluid flow path to a wound dressing and provide negative pressure to the wound dressing. The sensor can be configured to monitor a magnitude or frequency of pressure in the fluid flow path generated by the negative pressure source. The controller can be configured to determine an activity classification, such as breathing, changing positions while lying, sitting, walking, standing, jumping, traversing stairs, leg extending, leg bending, and performing chair squats, based on a change in the magnitude of pressure over time while the negative pressure source maintains the magnitude of pressure in the fluid flow path below a negative pressure threshold. The controller can output an indication of the activity classification.

Abstract: The present invention relates to a system for determining a posture of an operator of a device that transmits vibrations to the operator, wherein the system comprises at least one vibration sensor for measuring vibrations at at least one location on the body of the operator and/or the device, and a posture determining means for detecting one or more characteristics of the measured vibrations assigned to a predetermined posture and for determining the predetermined posture as the posture of the operator when the characteristic is detected.

Abstract: A hearing assistance device adapted to be worn by a wearer comprises a processor configured to generate a sequence of audio cues that audibly guide the wearer through a series of actions involving the wearer's head and neck in accordance with a predetermined corrective or therapeutic maneuver. A speaker is configured to play back the sequence of audio cues for reception by the wearer. One or more sensors are configured to sense movement of the head during each of the actions. The processor is configured to determine if head movement for an action associated with each audio cue has been correctly executed by the wearer, and produce an output indicative of successful or unsuccessful execution of the actions by the wearer.

Abstract: A prosthetic limb test fixture is configured to mimic a human stride. An electronic management system can control the test fixture to follow the position and pattern of a particular selected gait cycle during testing. A proposed prosthesis can be attached to the test fixture. Sensor data collected during testing can be evaluated to determine whether the proposed prosthesis is likely to appropriately fit an amputee patient. Iterative adjustments may be made to the prosthesis based on test data in order to maximize the likelihood of a good fit.

Abstract: Medical diagnostic images that are embedded with contact messages about a professional are sent to a patient for sharing with others. Although the images may be obtained using any of a variety of imaging devices, in some instances, the images may be obtained using a soft-tissue-injury diagnostic system for diagnosing soft tissue injury within a patient. A visual display is configured and arranged for receiving and displaying the medical diagnostic image. Personalized contact messages are then embedded within the image as a watermark to with information about the professional, such as an electronic business card, contact information, or hyperlinks to additional information. The sharable image with embedded messages is electronically sent to the patient for sharing with others. Personalized contact messages may also be embedded in non-medical images for sharing with others.

Abstract: A dynamic neuropsychological assessment tool according to an embodiment utilizes speech recognition, speech synthesis and machine learning to assess whether a patient is at risk for a neurological disorder, such as Alzheimer's disease. The dynamic neuropsychological assessment tool enables self-administration by a patient. The tool performs pre-test validation operations on the test environment, test equipment, and the patient's capability for performing the test at that time. The tool also enables dynamic modification of a questionnaire presented to the patient while the patient completes the questionnaire. Also provides the dynamic modification of which tests to present the patient with. The modification can be rule based or modified by a provider. The dynamic neuropsychological assessment tool enables providers and administrators to modify and improve tests and validate them using machine learning based on previously completed assessments and results.

Abstract: A computer-implement method comprises: training a classifier with labeled data from a dataset; classifying, by the trained classifier, unlabeled data from the dataset; providing, by the classifier to a policy gradient, a reward signal for each data/query pair; transferring, by the classifier to a ranker, learning; training, by the policy gradient, the ranker; ranking data from the dataset based on a query; and retrieving data from the ranked data in response to the query.

Abstract: A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject, and one or more data processing devices operatively coupled to the force measurement assembly. In one embodiment, the one or more data processing devices are configured to determine a difference between a center of pressure and a center of mass for the subject from output force and/or moment data, and to determine the fall risk of the subject based upon the difference between the center of pressure and the center of mass for the subject. In another embodiment, the one or more data processing devices are configured to determine one or more balance parameters of the subject from the output force and/or moment data while the subject is stepping onto the top surface of the force measurement assembly and/or stepping off the top surface of the force measurement assembly.

Abstract: Various implementations disclosed herein include devices, systems, and methods for detecting and correcting the posture of users of electronic devices. In some implementations, an image capture device or other sensor is used to estimate or otherwise determine a posture of a user. As a specific example, a head mounted device (HMD) may include a camera that captures an image of the user wearing the device and the image may be analyzed to identify 3D joint locations representing the current posture of the user relative to the HMD. The user's posture is analyzed to assess whether a posture correction or change is desirable, for example, by classifying the posture as good or bad or by scoring the posture on a numerical scale. If a posture correction or change is desirable, appropriate feedback to encourage the user to adopt the posture correction or otherwise change his or her posture is identified and provided.

Abstract: Systems and methods for utilizing an image capture device to scan facial features of a user, responsive to recognition of a plurality of beam projection points on the face of the user. The first data captured from scanning the facial features may be authenticated against a facial depth map stored as a data structure in a data storage medium. In response to successful authentication, the facial features of the user may be continually scanned to detect facial movements indicative of the user's liveness. Access may be granted to the user, in response to verifying the user's liveness.

Abstract: A motion sickness control system for a vehicle includes a vibrator. The motion sickness control system includes a sensor configured to measure vibration of the vehicle. The motion sickness control system includes a computer having a processor and a memory storing instructions executable by the processor to actuate the vibrator at a target frequency based on the measured vibration of the vehicle. The target frequency attenuates the measured vibration of the vehicle.

Abstract: The present invention relates to a method of operating a smart mattress system for preventing snoring which can stop snoring of a user, wherein an air mattress and an air pillow interlock with a user terminal so that a user can easily control the air mattress and the air pillow.

Abstract: Systems and methods for controlling an orthopedic joint device of a lower extremity, the orthopedic joint device comprising an upper part, a lower part mounted in articulated fashion to the upper part, and a conversion device arranged between the upper and lower parts. The conversion device provides for, during pivoting of the upper part relative to the lower part, mechanical work from a relative movement between the upper and lower parts to be converted and stored in at least one energy store and supplied back to the joint device with a time offset in order to assist the relative movement. The stored energy is converted back and the supply of mechanical work takes place in a controlled manner during the assistance of the relative movement.

Abstract: Embodiments herein relate to sensor based authentication between an implantable medical device (IMD) and an external device. In an embodiment, the IMD includes a wireless communication module and an internal inertial measurement unit (IMU) capable of measuring vibrations, movement, or rotation. The IMD is configured to record an internal IMU signal from the internal IMU. The external device includes a wireless communication module and an external IMU. The external device is configured to record an external IMU signal from the external IMU. The system further includes a data processing system to receive a first level communication that can include the internal IMU signal, the external IMU signal, or both, compare data from the internal IMU signal with data from the external IMU signal, and authorize a second level communication based on results of the comparison step.

Abstract: Shown is a simple, reliable manner of monitoring a process of expelling a variable dose of medicament from an injection device by analyzing mechanical feedback of the injection device with reduced requirements on signal data memory space and processing power. Specific measurand and mechanical user feedback sensor configurations enable sensor signal data from which individual dosage units of expelled drug are identifiable at moderate sampling rates. Preferred configurations include a force sensor adapted to measure an axial force component as applied to the device by a user pressing a proximal injection button, and a direction sensor adapted to measure an azimuth angle of an orientation of the device. The specific measurands, or process quantities observed, relate to feedback means of the device including a resilient element that produces a number of successive mechanical feedback events proportionate to a dose or quantity of drug expelled from a medicament reservoir.

Abstract: Embodiments are disclosed for a gyroscopic precession engine for wearable devices. In an embodiment, a wearable device comprises: a support structure including at least one attachment mechanism for attaching the support structure to a human body part; at least one gyroscopic precession engine coupled to the support structure, the gyroscopic precession engine, comprising: a first motor configured to rotate a wheel mount at a first angular velocity; at least one wheel rotatably coupled to the wheel mount and configured to spin at a second angular velocity different than the first angular velocity; a second motor configured to spin the wheel at the second angular velocity; and at least one motor controller coupled to the first motor and the second motor, the at least one motor controller configured to rotate the wheel mount at the first angular velocity and spin the wheel at the second angular velocity, thereby producing a torque in a desired direction.

Abstract: A physiological status evaluation method and a physiological status evaluation apparatus are provided. The method includes the following: obtaining original electrocardiogram data of a user by an electrocardiogram detection apparatus; converting the original electrocardiogram data into digital integration data; obtaining a plurality of physiological characteristic parameters according to the digital integration data; filtering the physiological characteristic parameters for at least one notable characteristic parameter through at least one filter model, where decision importance of the at least one notable characteristic parameter in a decision process of the at least one filter model is greater than a threshold; building a prediction model according to the at least one notable characteristic parameter; and evaluating a physiological status of the user through the prediction model.

Abstract: A medical device includes at least one electrode to sense an electrocardiogram (ECG) signal of a patient, and a controller coupled to the at least one electrode. The controller is configured to generate a first ECG template based on a first ECG signal of the patient received during a first baselining operation. The controller is configured to determine that the patient has been administered a therapeutic shock, and responsive to the determination that the patient has been administered the therapeutic shock, the controller is configured to initiate a second baselining operation and generate a second ECG template based on a second ECG signal of the patient received during the second baselining operation. The controller is configured to determine whether the patient is experiencing a cardiac event based on a comparison of the second ECG template to a real time ECG signal received during real time monitoring of the patient.

Abstract: The present invention provides a method for robot action imitation learning in a three-dimensional space and a system thereof, relates to the technical fields of artificial intelligence and robots. A method based on a series-parallel multi-layer backpropagation (BP) neural network is designed for robot action imitation learning in a three-dimensional space, which applies an imitation learning mechanism to a robot learning system, under the framework of the imitation learning mechanism, to train and learn by transmitting demonstrative information generated from a mechanical arm to the series-parallel multi-layer BP neural network representing a motion strategy.

Abstract: A method of air quality notification is disclosed. The method includes steps of providing a portable air quality monitoring device for monitoring air quality. The portable air quality monitoring device monitors the ambient air quality at a location in a monitoring period of time to generate a monitoring data, and has a GPS component to generate a position data of the location, both of them can be integrated as a notification data and delivered. A cloud data processing device is provided for receiving the notification data delivered from the portable air quality monitoring device, wherein the notification data is processed, calculated and converted to generate a push data, and the push data is delivered at a push period through a push notification service. A notification receiving device is provided for receiving the push data delivered from the cloud data processing device, so as to display the push data immediately.

Abstract: A method for monitoring at least one cardiac tissue. The method comprises a) intercepting a plurality of reflections of an electromagnetic (EM) radiation reflected from at least one cardiac tissue of a patient in a plurality of EM radiation sessions, b) computing a mechanical tracing indicative of at least one mechanical property of said at least one cardiac tissue according to said plurality of reflections, c) analyzing said mechanical tracing so as to detect a presence or an absence of a physiological condition, and d) outputting said analysis.

Abstract: An acquisition unit acquires a classification result obtained by classifying training assistants by performing a cluster analysis based on first rehabilitation data about rehabilitation performed by the trainee by using the rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant and index data indicating a degree of recovery of the trainee. A learning unit generates a learning model, the learning model being configured to input second rehabilitation data including at least the action data indicating an assisting action performed by the training assistant to assist the trainee and output the action data for suggesting a next action to be performed by the training assistant. The learning unit generates the learning model by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the classification result.

Abstract: Systems, methods, and apparatus for identifying a health disorder based on a temperature asymmetry estimation. A system may include a thermal camera configured to detect thermal images of an inspected body part and a reference body part, which may be contralateral to the inspected body part. The system may further include an optical camera configured to detect optical images of the inspected body part and the reference body part. The system may further include a remote mobile device having a mobile processor programmed to control the thermal camera to detect the thermal images and the optical camera to detect the optical images. The system may further include remote server having a diagnostic processor programmed to determine that a functional disorder or inflammation of the inspected body part has occurred by analyzing the thermal images and the optical images.

Abstract: A processing system capable of educating a training assistant, who assists a trainee when the trainee performs rehabilitation by using a walking training apparatus, in order to enable the training assistant to appropriately assist the trainee is provided. The processing system includes a determination unit and an output unit. The determination unit determines an adjustment-required parameter, the adjustment-required parameter being, among parameters that can be adjusted in a walking training apparatus, a parameter of which a frequency of adjustments by a training assistant who assists a trainee performing walking training in the walking training apparatus or by an assistant in a hospital other than the training assistant is lower than an adjustment criterion. The output unit outputs parameter information indicating the adjustment-required parameter and effect information indicating an adjustment effect that is obtained when the adjustment-required parameter is adjusted.

Abstract: A system and method that receive a distance matrix for multiple patients and a patient of interest, assign a radial distance value between the patient of interest and the other patients based on the distance matrix value for each of the multiple patients, generate an angular distance value between the multiple patients based at least in part on a measure of similarity between each patient, and minimize a cost function based at least in part on the angular distance value between each patient and each other patient. Minimizing the cost function may include calculating a patient contribution to the cost function for a plurality of angular distance values and selecting the angular distance value with the smallest patient contribution. The processor also may be configured to generate and display a radar plot based on the assigned radial distance value and generated angular distance value of each patient.

Abstract: According to an aspect, there is provided a computer-implemented method for evaluating movement of a subject.

Abstract: A hearable comprises at least one microphone coupled with a wearable structure and a sensor processing unit disposed within the wearable structure and coupled with the microphone. A portion of the wearable structure is configured to be disposed within a user's ear. The sensor processing unit acquires audio data from the at least one microphone and head motion data from at least one motion sensor of the sensor processing unit. The head motion data describes motions of the user's head and comprises cranium motion data and mandible motion data. The sensor processing unit separates the mandible motion data from the head motion data, synchronizes the mandible motion data and the audio data into a synchronized data stream; classifies an activity of the head during a portion of the synchronized data stream; and generates a health indicator for the user based on the activity and the synchronized data stream.

Abstract: A pressure sensitive pad configured to be placed under a mattress and configured to identify presence and absence of a threshold weight on the mattress. The pressure sensitive pad comprises a signal generator, a sensing zone, at least one variable matching resistor, a microcontroller unit (MCU). The signal generator configured to generate an electrical signal. The sensing zone has a sensing resistor with a first resistance which varies depending on a pressure applied on sensing zone. The variable matching resistor is in series with the sensing resistor and the signal generator, the variable matching resistor having a second resistance. The MCU has an analog-to-digital converter (ADC) configured for receiving and measuring a portion of the signal at an electrical junction between the sensing resistor an the at least one variable matching resistor, the MCU being configured to control the second resistance of the at least one variable matching resistor.

Abstract: Disclosed is a computer-implemented method which encompasses comparing the requirements for radiation therapy imposed by a patient's individual condition to the capabilities and requirements of different types of treatment machines to determine a suitable radiation treatment strategy including an identification of the treatment machine which shall be used and a treatment plan. Furthermore, a treatment plan is generated by simulating the envisaged radiation treatment. The type of treatment machine associated with a predetermined value for the sum of weights for all fields assigned to that treatment machine is determined as the treatment machine for treating the patient, and corresponding information is output detailing the treatment specifics such as radiation treatment parameters specifically suited for the patient target region tumor thereby reducing radiation exposure, efficient use of the machine and appropriate gating and tracking modes.

Abstract: Machine learning-based systems and methods for predicting running-related injuries and related training methods are described herein. An example method for training a machine learning model includes receiving a dataset including running-related data, where the running-related data includes a plurality of samples tagged with respective running-related injury labels. The method also includes augmenting the dataset, where the augmented dataset further includes a plurality of synthetic samples tagged with respective running-related injury labels. The method further includes training a machine learning model using the augmented dataset. The trained machine learning model is configured for predicting risk of running-related injury.

Abstract: An arousal support device including a processor programmed to output a dialogue speech in a form of a question, and obtain response speech which is a response of a driver to the dialogue speech; measure a response time from when the dialogue speech is output till the response speech is obtained; store the measured response time in a database; derive an estimated value of wakefulness of the driver based on the measured response time and a plurality of response times previously stored in the database; and output a signal corresponding to the estimated value to provide arousal support.

Abstract: The present invention relates to a gesture acquisition system, comprising a finger posture acquisition device, the finger posture acquisition device comprising a main acquisition module which is located below a palm and synchronously swings with the palm, the main acquisition module being configured to acquire finger postures. In the gesture acquisition system, the main acquisition module of the finger posture acquisition device is arranged below a palm. In this way, the angle of view and the position of the main acquisition module are fixed relative to the palm. Thus, for a same gesture, it is recognized by images captured from a fixed angle. The recognition time is reduced, the recognition accuracy is improved, and the computation for background deletion is eliminated.

Abstract: A motion sickness control system for a vehicle includes a vibrator. The motion sickness control system includes a sensor configured to measure vibration of the vehicle. The motion sickness control system includes a computer having a processor and a memory storing instructions executable by the processor to actuate the vibrator at a target frequency based on the measured vibration of the vehicle. The target frequency attenuates the measured vibration of the vehicle.

Abstract: Methods and apparatus are provided for 6DoF inside-out tracking game control. In one novel aspect, a multi-processor architecture is used for VI-SLAM. In one embodiment, the apparatus obtains overlapping image frames and sensor inputs of an apparatus, wherein the sensor inputs comprise gyrometer data, accelerometer data and magnetometer data, splits computation work onto a plurality of vector processors to obtain six degree of freedom (6DoF) outputs of the apparatus based on a splitting algorithm, and performs a localization process to generate 6DoF estimations, and a mapping process to generate a cloud of three-dimensional points associated to the descriptors of the map. In one embodiment, the localization process and mapping process are configured to run sequentially. In another embodiment, the localization process and mapping process are configured to run in parallel.

Abstract: A monitoring device for measuring one or more physiological parameters of a medical patient can include a finger clip sensor connected to a monitor. A placement indicator helps the patient to properly position the sensor. The monitor can display a message alerting the patient to reposition the sensor. The device can delay measurement until the sensor is properly positioned.

Abstract: The present disclosure relates to a method for parameterizing an automation field device which is communicatively connected to a server, having the following steps: initiating the method by transmitting a command to parameterize the field device on the server; transmitting identification information of the field device to the server; ascertaining a digital image of the field device stored on the server using the transmitted identification information, said digital image containing configuration settings of the field device and measurement location-relevant information and being designed to reproduce the behavior of the field device in a simulated or emulated manner; generating and proposing a parameter set for the field device using the field device information; selecting and confirming the proposed parameter set by a user; and transmitting the confirmed parameter set to the field device and parameterizing the field device using the transmitted parameter set.

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.