Abstract: The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine viability as candidates for certain therapy modalities, such as deep brain stimulation (DBS). The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to determine the therapy setting or parameters to be provided to the subject via his or her therapy device.

Abstract: According to an aspect, there is provided a computer-implemented method for evaluating movement of a subject. The method comprises obtaining a first signal from a first sensor; processing the first signal to determine a value of a quality measure for the first signal; and determining a configuration for a movement evaluation algorithm. The configuration of the movement evaluation algorithm is dependent on the determined value of the quality measure for the first signal such that either or both of a decision threshold of the movement evaluation algorithm is determined based on the determined value of the quality measure; and one or more weightings used in the movement evaluation algorithm for the one or more first features that are to be derived from a signal from the first sensor are determined based on the determined value of the quality measure. A corresponding apparatus and computer program product are also provided.

Abstract: The balance training apparatus includes: a moving cart capable of moving on a moving surface by driving a driving unit; a movement controller configured to drive the driving unit and to move the moving cart in accordance with a predetermined swing pattern; a posture detection sensor that is provided in the moving cart and is configured to detect that disturbance of the state of a trainee who is standing on the moving cart has become outside of a predetermined range; and a difficulty level setting unit configured to instruct the movement controller to change the swing pattern and change the difficulty level of the training that moves the moving cart based on results of detecting the state of the trainee regarding which a notification is sent from the posture detection sensor.

Abstract: A helmet for tracking impact including at least one sensor, a processor in communication with the sensor and a storage file in communication with the processor, the at least one sensor measures a force applied to the helmet and sends a signal to the processor indicative of the measured force. The processor receives the signal indicative of the measured force and compares the measured force to a predetermined value, wherein if the measured force exceeds the predetermined value data is sent to the storage file to record the measured force. The helmet can include an alarm system and/or an injury tracking system.

Abstract: A controller device configured to be worn on a hand of a user includes a plurality of sensors that, in a state in which the user wears the controller device on the hand, are disposed along a virtual curved surface being projected toward a position of a thumb of the user and detect the position of the thumb of the user.

Abstract: An augmented neuromuscular training system and method for providing feedback to a user in order to reduce movement deficits associated with injury risk, prior injury or disease pathology.

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: The present disclosure provides wearable apparatus and method for calculating drift-free plantar pressure parameters for gait monitoring of an individual. Most conventional techniques use different kind of sensors placed in in-sole based wearable apparatus but are costly and not effective in calculating accurate plantar pressure parameters. The disclosed wearable apparatus uses off-the shelf piezoelectric sensors that are widely available in market with less cost. The drift-free plantar pressure parameters are calculated using drift-free static pressure data obtained by numerically integrating acquired dynamic sensor data from the piezoelectric sensors, using a LiTCEM correction mechanism. A 6-DOF Inertial Measurement Unit (IMU sensor) helps in isolating zero-pressure duration indicating when a foot of the individual is in air during a stride, while obtaining the drift-free static pressure data.

Abstract: A wearable computing device that is secured or attached to a resilient strap, the resilient strap sized to fit around at least a part of a circumference of a human head. The device has a waterproof storage volume housing a plurality of sensors. The wearable computing device may calculate a plurality of swimming metrics based at least partly on data received from the at least one sensor. The wearable computing device may include a wireless communication subsystem secured to the resilient strap within the waterproof storage volume and may transmit at least one of the calculated plurality of swimming metrics to at least one computing device via the wireless communication subsystem. The wearable computing device may include at least one user output component and may present an indication of at least one of the calculated plurality of swimming metrics at the at least one user output component for communication to the user.

Abstract: A continuous socket/suspension monitoring system according to principles of the present invention tracks relative displacement between amputee residuum and their socket using magnetic sensors. The system includes at least one magnetic sensor in a liner worn on the amputees' residuum which correspond to sensors provide in or on the prosthesis socket. The system allows for monitoring of pistoning continuously during locomotion and does not require socket modification, is safe to amputee patients, is easy to use, and is low cost.

Abstract: A method includes generating motion data by receiving a gyroscope data from a gyroscope sensor, performing integration using the gyroscope data and generating an integrated gyroscope data using a first processor. The method further includes receiving a data from one or more sensors, other than the gyroscope sensor, and performing sensor fusion using the integrated gyroscope data and the data to generate motion data using a second processor.

Abstract: The present invention provides a virtual reality environment generating apparatus including a non-base type interface configured to allow a user to haptically touch virtual objects and game characters. The virtual reality environment generating apparatus includes a content creating device 102 configured to create a content based on information from various sensors 108 to 111 and content data, an illusionary tactile force sense evoking device 103 configured to use illusionary tactile force sense data to generate an illusionary tactile force sense evoking function 1713 adapted for the content, an illusionary tactile force sense interface device 101 including a illusionary tactile force sense device 107, and an illusionary tactile force sense device driving control device 112 configured to drivingly control the illusionary tactile force sense device.

Abstract: A system includes wearable devices positioned on a subject in different locations. Each wearable device includes motion sensors that measure the subject's movement in three dimensions. The motion sensors generate raw sensory data as the subject performs a physical movement. A data filter is selected based on a condition of the subject and a designated movement corresponding to the physical movement, and used to convert the raw sensory data into formatted data. A level of compliance of the physical movement with a movement model for the designated movement is determined by applying comparative modeling techniques to the formatted data and the movement model. Real-time feedback is delivered dynamically to the subject by the wearable devices during the performance of the physical movement based on the level of compliance. The movement model can be generated, and the comparative modeling techniques can be selected, based on the condition of the subject.

Abstract: System comprises a first sensing unit, attached to a proximal portion of a human body with a joint of the human body as a reference, for measuring an acceleration of the proximal portion or an angular velocity of the proximal portion; a second sensing unit, attached to a distal end portion of the human body, for measuring an acceleration of the distal end portion or the angular velocity of the distal end portion; a processing unit for determining an angle of the joint between the proximal portion and the distal end portion on the basis of the measured acceleration or the measured angular velocity and determining a spasticity time point at which resistance to motion of the distal end portion is received; and a display unit for displaying spasticity evaluation information for a spasticity evaluation on the basis of the angle of the joint and the spasticity time point.

Abstract: One embodiment relates to an apparatus, comprising logic, at least partially incorporated into hardware, to: receive first sensor data associated with a first sensor of a first smart device; determine a first reliability factor associated with the first sensor data; receive second sensor data associated with a second sensor of a second smart device; and determine a second reliability factor associated with the second sensor data. The logic is further to determine a sensor data reporting plan based upon the first reliability factor and the second reliability factor, the sensor data reporting plan indicating whether each of the first sensor and the second sensor are to subsequently send their respective sensor data to a primary communication device.

Abstract: The present invention is an Deep Neural Network based technology relating to diagnosis of Anisomelia, also referred to as Leg Length Discrepancy (LLD). This invention is a system and method, which comprises of a diagnosis device referred to as the “LEG-Minder” device that is typically installed in a diagnosis center setting, and diagnoses for LLD on the basis of a neural network model with patient's leg photos or x-rays thereof; and a neural network learning server referred to as the “LEGislator” which is connected to the Internet and performs Deep Neural Network (DNN) learning, on the individual LLD databases generated by a plurality of the “LEG-Minder” device(s).

Abstract: A system and method for determining stress level of a person in real-time have been disclosed. In one aspect, the system captures physiological data associated to the person. In one embodiment, the physiological data may be captured by using a plurality of sensors attached at wrist or ankle or neck or waist or hip of the person, for a predetermined time interval. The plurality of sensors may include a wrist watch or a wristband or a textile material. The system further pre-processes the physiological data in order to extract one or more physiological parameters. In one aspect, the pre-processing may include performing an analysis on the physiological data. The system further determines the stress level of the person upon performing the statistical analysis on the one or more physiological parameters. According to another embodiment, a method for real time determination of stress level of the person has also been provided.

Abstract: In one embodiment, a system for heel-to-shin testing includes a patient interface configured to be applied to a shin of a patient and extend from a point on the shin adjacent the knee to a point on the shin adjacent the ankle, the patient interface including an elongated medial touch sensor configured to sense contact of a heel of the patient to a centerline of the shin at any axial position between the knee and the ankle, and a control module in electrical communication with the patient interface, the control module being configured to identify a number of times the patient's heel deviates from the centerline of the shin as the patient slides the heel down the shin or drags the heel up the shin.

Abstract: Disclosed is a system for objective self-assessment of physical capabilities and condition changes of individuals with conditions like multiple sclerosis, the system has a mobile device with an appropriate software for carrying out a set of tests for assessment of motor capabilities such as body balance, muscle strength, and muscle spasticity, and receiving assessment feedback. The system has inertial motion sensors for performing motion sensing, wherein said inertial motion sensors are integrated with said mobile device, e.g., a smartphone, a smart watch, or a personal computer, or in a separate wearable sensor device, connected with said mobile device over wired or wireless data connection. Also disclosed is a method for such self-assessment with such system.

Abstract: A sleep position trainer (1) has a normal operational mode for alerting when a posture of the body detected by the position sensor (34) corresponds with an undesired body posture. The sleep position trainer further comprises a non-movement timer (t1) for timing a non-movement period of the user wearing the sleep position trainer. An output signal is send to an alert unit in case that a posture of the body detected by a position sensor (34) corresponds with a body posture when a threshold value of the non-movement timer (t1) of at least 15 minutes is exceeded.

Abstract: A system for tracking a user's weight includes an insole which is configured to be interchangeably located within one of each of a number of a user's pairs of shoes. A weight sensor located within the insole is configured to detect the weight of the user. A communications interface is located within the insole and is electrically connected to the weight sensor. The communications interface is configured to transmit weight readings from said weight sensor to a computerized device.

Abstract: The present invention relates to a feedback device and a thermal feedback provision method using the same. The thermal feedback provision method may include checking first operating power applied to a first thermoelectric couple group for a first thermoelectric operation and second operating power applied to a second thermoelectric couple group for a second thermoelectric operation when the first thermoelectric operation is initiated in the first thermoelectric couple group to initiate the output of the first thermal feedback after the second thermoelectric operation is initiated in the second thermoelectric couple group to initiate the output of the second thermal feedback and include applying cognitive enhancement power for enhancing a user's cognition to the first thermoelectric couple group from a time point at which the output of the first thermal feedback is initiated up to a first time point so that the user's cognition of the first thermal feedback is enhanced.

Abstract: A method for determining the amplitude of a movement performed by a member of an articulated body comprises: obtaining a segment representative of the positioning of the member in a given reference frame at the end of said movement, generating a three-dimensional model of the member, positioned in said reference frame by means of the obtained segment, obtaining a cloud of three-dimensional points representing the member in said reference frame at the end of said movement, based on depth information provided by a sensor, said depth information defining a three-dimensional scene comprising at least a part of the articulated body including said member, repositioning the model of the member so as to minimize a predetermined error criterion between the obtained cloud of points and said model, and determining the amplitude of the movement, based on the new positioning of the model of the member.

Abstract: An interactive method of a smart watch includes the following steps: S1. acquiring a vibration signal of an accelerometer and a gyroscope of a smart watch based on a vibration signal transmitted by a human body; S2. identifying the vibration signal by using an anomaly detection algorithm; S3. pre-processing the vibration signal, and further classifying and identifying the vibration signal by using an improved algorithm of a k-nearest neighbor algorithm; S4. analyzing the user's feedback on the results and correcting them in time to maintain a stable identification accuracy. The present disclosure also discloses an interactive system, including a signal detection module, an identification and classification module, and a real-time feedback module. In the present disclosure, the human body part is regarded as a virtual screen based on the vibration signal transmitted by the human body.

Abstract: An electronic device and a control method therefor are disclosed. A control method for an electronic device, according to the present disclosure, enables relearning of an artificial intelligence model for: receiving fall information acquired by a plurality of sensors of an external device when a fall event of a user is sensed by one of the plurality of sensors included in the external device; determining whether the user has fallen by using the fall information acquired by the plurality of sensors; determining a sensor, having erroneously determined that a fall has occurred, from among the plurality of sensors on the basis of whether the user has fallen; and determining that a fall has occurred by using a sensing value acquired by the sensor having erroneously determined that a fall has occurred.

Abstract: Apparatus for providing transcutaneous electrical nerve stimulation (TENS) therapy to a user, the apparatus comprising: a housing; an application unit for providing mechanical coupling between the housing and the user's body; a stimulation unit for electrically stimulating at least one nerve of the user; a sensing unit for sensing the user's body movement and body orientation; and a reporting unit for providing the user with feedback based on the user's sensed body movement and body orientation.

Abstract: A method and apparatus for measuring a subject's ability to perform a varying range of barrier reaches is provided. The apparatus includes a barrier having a substantially horizontal upper surface at a height above a base point. A sensing and recording device is positioned adjacent to the barrier for sensing and recording a plurality of data points. A marking device for grasping by the subject engages the sensing and recording device for creating the plurality of data points as the subject bends forward against the barrier. The data points are recorded and converted into an interpolated arc reflecting the subject's reach at the barrier height.

Abstract: One variation of a method includes: accessing a virtual patient model defining a target resected contour of a hard tissue of interest; after resection of the hard tissue of interest during a surgical operation, accessing an optical scan recorded by an optical sensor facing a surgical field occupied by a patient, detecting a set of features representing the patient in the optical scan, registering the virtual patient model to the hard tissue of interest in the surgical field based on the set of features, and detecting an actual resected contour of the hard tissue of interest in the optical scan; and calculating a spatial difference between the actual resected contour of the hard tissue of interest and the target resected contour of the hard tissue of interest represented in the virtual patient model registered to the hard tissue of interest in the surgical field.

Abstract: The present invention relates to a pregnancy monitoring system, the system comprising a fetal monitoring transducer (20) arranged to detect fetal medical condition information; and a control device (48) comprising a motion assessment unit (50) and a signal output unit (52); wherein the fetal monitoring transducer (20) is arranged to detect fetal movement indicative information, wherein the motion assessment unit (50) is arranged to process fetal movement grading information, in addition to the fetal movement indicative information, wherein the signal output unit (52) is arranged to simultaneously output a fetal condition signal, particularly a fetal heart rate signal, and an augmented fetal movement signal based on the fetal movement indicative information and the fetal movement grading information, wherein a characteristic property of the original fetal movement information is still present in the augmented fetal movement signal. The disclosure further relates to a corresponding pregnancy monitoring method.

Abstract: Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.

Abstract: A system for processing biological data is provided and includes a monitoring device configured to receive biological data responsive to a living being. The system also includes an interface device communicated with the monitoring device to receive the biological data. Furthermore, the system includes a data transfer device, configured to receive the biological data from the interface device and communicate the biological data to a processing device for processing. Additionally, a method for processing biological information is provided, wherein the method includes receiving biological information from a monitoring device responsive to a first party and responsive to an exercise regime and processing the biological information to generate resultant information responsive to at least one physical characteristic of the first party.

Abstract: A system for processing biological data is provided and includes a monitoring device configured to receive biological data responsive to a living being. The system also includes an interface device communicated with the monitoring device to receive the biological data. Furthermore, the system includes a data transfer device, configured to receive the biological data from the interface device and communicate the biological data to a processing device for processing. Additionally, a method for processing biological information is provided, wherein the method includes receiving biological information from a monitoring device responsive to a first party and responsive to an exercise regime and processing the biological information to generate resultant information responsive to at least one physical characteristic of the first party.

Abstract: A detecting device obtains a first body motion signal from a body motion sensor while a person walks with a predetermined stride, the body motion sensor being attached to a body of the person and configured to detect a body motion of the person, obtains a reference-walk-waveform from a memory, the reference-walk-waveform being generated from a second body motion signal obtained from the body motion sensor while the person walks with the predetermined stride with the body motion sensor attached to an initially attached position, compares the obtained reference-walk-waveform with a waveform of the obtained first body motion signal to determine whether an attached position of the body motion sensor is shifted from the initially attached position, and outputs a determination result.

Abstract: Various systems are disclosed herein for detecting, monitoring, evaluating, and characterizing pain. They systems include a number of connected components, such as a provider device, a body-mapping system, a patient device, a user device, a referred pain device and/or a rectal probe device. Accordingly, the systems allow providers to track location-specific pain intensity for any number of patients over time in order to generate reports and determine treatment recommendations for such patients.

Abstract: Four striking panels having wireless sensors are arranged such that at least one striking panel is: in front of an athlete, behind the athlete, to the right of the athlete, and to the left of the athlete. A display is situated in front of the athlete. Randomly, a particular striking panel is presented on the display during an exercise routine. When the athlete strikes the appropriate corresponding panel based on detection of a wireless signal provided by the corresponding wireless sensor, a next randomly selected panel is presented on the display. This continues for a particular number of times or for a particular elapsed period of time. Response time metrics are retained for the routine and provided at the conclusion of routine.

Abstract: Systems and methods for monitoring movement capabilities using clinical mobility based assessments of a user are provided herein. In embodiments, methods include: providing, using a mobile device comprising an inertial measurement device, a clinical mobility based assessment to a user; and generating, using the inertial measurement device, inertial data of the user that is indicative of movement capabilities of the user based on the clinical mobility based assessment. Embodiments include logging the inertial data of the user locally to the mobile device resulting in locally logged inertial data of the user; processing in real-time the locally logged inertial data of the user to determine position and orientation of the mobile device during the clinical mobility based assessment; and determining, using the position and the orientation of the mobile device during the clinical mobility based assessment, a physical movement assessment of the user associated with the clinical mobility based assessment.

Abstract: A method for providing a thermal feedback performed by a feedback device is disclosed. The method includes: applying an operating power to a thermoelectric element to start a thermoelectric operation for outputting a thermal feedback; stopping the application of the operating power to terminate the thermoelectric operation; and when the application of the operating power is stopped, applying a buffering power to the thermoelectric element to reduce a temperature returning speed of a contact surface so that a thermal inversion illusion is prevented. The thermal inversion illusion being opposite to the outputted thermal feedback.

Abstract: Systems and methods for providing enhanced surface electrical neurostimulation and haptic feedback to a user within a simulation environment are provided. Enhanced surface electrical neurostimulation (eSENS) platforms are able to elicit distally referred tactile percepts while avoiding large charge densities as a method to deliver intuitive haptic feedback during functional tasks.

Abstract: A system is provided to monitor, over time, one or more physical variables related to a severity or progression of a movement disorder and/or of symptoms thereof. The monitored physical variables can include speech sounds; keyboard outputs; or accelerations, rotations, or other properties of the motion of one or more body parts. The system operates to detect, based on the monitored one or more physical variables, potential changes in the degree and/or character of the movement disorder symptoms. In response to detecting such a potential change, the system provides the user with one or more tasks that the user can perform. The system detects one or more properties of the user's performance and, based on that detection, determines the severity or progression of the movement disorder. The tasks can include stepping, turning, standing, sitting, reaching, typing, pointing, manipulating an object, speaking into a microphone, or other tasks.

Abstract: The present invention relates to a method for estimating the relative orientation between a tibia (11a) and a femur (11b) of a lower limb (10) of a person (1), the method being characterised in that it comprises the steps of: (a) During at least one reference movement of said lower limb (10) from a reference position, acquiring by first inertial measuring means (20a) integral with the tibia (11a) and by second inertial measuring means (20b) integral with the femur (11b) reference accelerations and angular velocities; (b) Estimating a plurality of morphological parameters of said lower limb (10), as a function of said measured reference accelerations and angular velocities; (c) Determining a relative orientation in said initial position between said tibia (11a) and femur (11b), as a function of said estimated morphological parameters of said lower limb (10); (d) During a working movement of said lower limb (10) from an initial position, acquiring by the first inertial measuring means (20a) and the second in

Abstract: A system for processing biological data is provided and includes a monitoring device configured to receive biological data responsive to a living being. The system also includes an interface device communicated with the monitoring device to receive the biological data. Furthermore, the system includes a data transfer device, configured to receive the biological data from the interface device and communicate the biological data to a processing device for processing. Additionally, a method for processing biological information is provided, wherein the method includes receiving biological information from a monitoring device responsive to a first party and responsive to an exercise regime and processing the biological information to generate resultant information responsive to at least one physical characteristic of the first party.

Abstract: The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine if they are viable candidates for certain therapy modalities. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette Syndrome, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to allow a clinician, technician or physician to determine the therapy setting or parameters to be provided to the subject via his or her therapy device.

Abstract: The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine if they are viable candidates for certain therapy modalities. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette Syndrome, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to allow a clinician, technician or physician to determine the therapy setting or parameters to be provided to the subject via his or her therapy device.

Abstract: A system for processing biological data is provided and includes a monitoring device configured to receive biological data responsive to a living being. The system also includes an interface device communicated with the monitoring device to receive the biological data. Furthermore, the system includes a data transfer device, configured to receive the biological data from the interface device and communicate the biological data to a processing device for processing. Additionally, a method for processing biological information is provided, wherein the method includes receiving biological information from a monitoring device responsive to a first party and responsive to an exercise regime and processing the biological information to generate resultant information responsive to at least one physical characteristic of the first party.

Abstract: Systems, methods and software products determine an overall motion and/or flexibility envelope for an individual. Movement and position data of the individual is captured and processed to generate an overall motion and/or flexibility envelope for the individual defining overall motion and/or flexibility of the individual. The systems include a flexibility server with memory and a processor adapted to receive movement and position data of the individual, a motion and/or flexibility analyzer, implemented as machine readable instructions stored in the memory and executed by the digital processor, capable of processing the movement and position data to generate an overall motion and/or flexibility envelope for the individual defining overall motion and/or flexibility of the individual.

Abstract: The present disclosure provides an acceleration compensation method for a humanoid robot as well as an apparatus and a humanoid robot using the same. The method includes: calculating an angular acceleration of each joint and calculating a six-dimensional acceleration of a centroid of a connecting rod corresponding to the joint in an absolute world coordinate system, if the humanoid robot is in a single leg supporting state; calculating a torque required by the angular acceleration of each joint of the humanoid robot; determining a feedforward current value corresponding to the torque of each joint; and superimposing the feedforward current value on a control signal of each joint to control the humanoid robot. In this manner, the influence of the acceleration can be effectively suppressed, the rigidity of the PID controller of the humanoid robot can be reduced, thereby improving the stability of the entire humanoid robot.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: Anomaly notification system that notifies of an anomaly of cared person in room includes sensor, sound collecting unit, first determination unit that determines whether a volume of the collected sound is more than or equal to a reference volume, second determination unit that determines whether a target sound is a predetermined activity sound generated by an activity of cared person, and third determination unit that determines whether an anomaly occurs in cared person, based on the activity amounts, which are measured before and after the target sound is collected, and notification unit.

Abstract: Lenses and methods for adjusting the focus of a lens include dividing multiple light sensors in a lens into four quadrants. A position of the lens relative to occlusion along a top and bottom edge of the lens is determined based on numbers of bits in respective bit sequences from light sensors in respective regions of the lens. An optimal focal length for the lens is determined based on the position of the lens. The focal length of the lens is adjusted to match the optimal focal length.

Abstract: A method for displaying archived exercise classes comprising displaying information about archived exercise classes that can be accessed by a first user via a computer network on a display screen at a first location, wherein the first user can select among a plurality of archived classes, outputting digital video and audio content comprising the selected archived class, detecting a performance parameter for the first user at a particular point in the selected class, displaying the performance parameter on the display screen, and displaying performance parameters from a second user at a second location on the display screen such that at least one of the performance parameters from the first user and at least one of the performance parameters from the second user at the same point in the class are presented for comparison.