114 results about "Physical activity" patented technology

Systems and methods are provided for enabling quick interactions with a user's frequent contacts from a wrist-wearable device. The method includes displaying, at a wrist-wearable device, a user interface including a plurality of representations of contacts. The plurality of representations of contacts includes a first representation of a first contact that is associated with an image-sharing application, and a second representation of a second contact that is associated with a fitness application that allows a user of the wrist-wearable device to compare performance of a physical activity against at least the second contact. The method includes, responsive to an input selecting the first representation of the first contact, causing activation of an imaging device for capturing an image. The method includes responsive to another input, capturing an image using the imaging device and causing the image to be sent to the first contact via the image-sharing application.

Various systems and methods that enhance an exercise or other physical activity performed by a user are described. In some embodiments, a repetition counting systems can track, monitor, count, or determine a number of repetitions of movements performed by a user during an exercise activity or other activity. For example, the repetition counting system can utilize classification or matching techniques to determine that a certain number of repetitions of a given movement or exercise are performed by the user.

A method and system for motion tracking that integrates pose estimation and segmentation. The method includes accessing a first set of keypoints generated by processing at least one image of a body area of a person. The first set of keypoints can be generated via pose estimation. The method further includes processing the at least one image to generate a body mask subsequently filtered to identify a second set of body contour keypoints, executing a predetermined function to identify a new keypoint based on the first set of keypoint and the second set of keypoints, generating a third set of keypoints based on the first set of keypoints and the new keypoint, and tracking the third set of keypoints to generate motion tracking data. The method generates feedback for the person based on the motion tracking data. The new keypoint and / or feedback can be generated based on a physical activity.

Systems, methods, and media for a configurable training system are provided. The configurable training system can include a controller and one or more configurable training devices. The configurable training device can include a housing, a cover coupled to a front surface of the housing, a sensor located within the housing to detect an impact, an indicator located within the housing and configured to emit light, and communication circuitry coupled with the indicator and the sensor. The communication circuitry may be coupled with the controller. The configurable training system may be adapted to various athletic training equipment or other equipment for physical activity.

A device may receive physical activity data for a subject, wherein the physical activity data comprises raw acceleration data. A device may derive a plurality of metrics from the raw acceleration data, wherein the plurality of metrics comprise a plurality of pattern-related metrics. A device may input the plurality of metrics into a deployed machine learning model. A device may be configured to perform receiving, from the deployed machine learning model, a physical activity score. A device may calculate a risk score for at least one disease or condition based on the physical activity score.

The present disclosure provides system and method for monitoring of at least one physiological parameter of a person engaged in a physical activity, for example, an impact received by a player engaged in a contact sport such as football. The system includes a monitoring unit that actively monitors the physiological parameter of the person, wherein the monitoring unit generates an alert event when the monitored physiological parameter exceeds a threshold of the parameter. The monitoring unit determines whether the parameter exceeds an over-exposure threshold, wherein said threshold is based upon both a single incidence or cumulative incidences.

In one example, a method includes receiving an indication of a body characteristic of a user collected by a sensor and an identifier of an actual choice by the user; deriving a level of health of the user from at least the body characteristic; correlating the identifier to an amount of a nutrient of a food item, or an amount of energy used by a physical activity; deriving an actual reward for actual choice, wherein the actual reward comprises an amount of money, credit or redeemable tokens; implementing the actual reward by providing the user or taking from the user the amount of money, credit or redeemable tokens; and transmitting to a portable device of the user, an indication of the actual reward to enable its presentation to the user.

Introduced here are computer-implemented platforms (also referred to as "muscle activation platforms") that are able to determine activated muscles of individuals performing physical activities. By predicting activated muscles, the muscle activation platforms are able to more accurately determine whether the individuals are performing the physical activities correctly.

A computer-implemented method for generating synthetic inertial measurement unit (IMU) data comprises: accessing a video dataset containing a multitude of video frames depicting at least one human performing a physical activity; using a pose estimation model, extracting three-dimensional (3D) body mesh data from the multitude of video frames, where the 3D body mesh data represents a human posture in each of the multiple video frames; generating an animation of the 3D body mesh data, where the animation comprises a sequence of 3D body meshes representing the human movement; defining a multitude of virtual sensor positions on the 3D body mesh; and generating synthetic inertial data for each virtual sensor.

An insulin delivery system for diabetes management includes a patch-based insulin pump configured to deliver insulin to a user, a user input button disposed on the patch-based insulin pump, a processor configured to execute a hybrid closed loop algorithm that automatically controls insulin delivery based on glucose levels. The user input button is configured to receive user input comprising a sequence of button presses that communicate contextual information about user activities to the hybrid closed loop algorithm, the contextual information being distinct from direct insulin bolus delivery commands. The contextual information may include meal intake, physical activity, and sleep status communicated through different sequences of button presses. The system includes confirmation mechanisms that provide feedback and allow cancellation of inputs, enabling discrete real-time communication of personalized data to enhance diabetes management.

Example embodiments relate to a computer-implemented method for determining endurance performance of a subject based on sensor measurements; the computer-implemented method comprising: obtaining (201) workload data measured by at least one workload sensor, comprising a time series (212) of the workload exerted by the subject during one or more physical activities; obtaining (202) heart rate data measured by at least one heart rate sensor, comprising a time series (211) of the heart rate of the subject during the one or more physical activities; selecting (203) time intervals (213 - 219) within the workload data and the heart rate data based on a set of selection criteria (204); for the respective time intervals (213 - 219), determining (205) an average workload (207) and, for a final portion of the respective time intervals (213 - 219), determining (205) an average heart rate (206); and determining (208) at least a portion of a workload-heart rate relationship (221), indicative for the endurance performance of the subject, by fitting a linear equation (224) to the average workloads and the average heart rates (230) of the respective time intervals (213 - 219).

This invention discloses a holistic exercise device that provides exercise for the user's core muscles and legs throughout the range of motion during various physical activities by simultaneously providing counterbalancing tension to the user's core muscles and legs when performing selected physical activities. The exercise device includes a waist ring, a left thigh ring, a right thigh ring, and left and right front and rear straps, all of which are heat-fused or sewn together to provide an elastic material specifically designed for a particular user. When worn by the user, the elastic rear and front straps of the exercise device provide counterbalancing tension to various muscle groups and legs depending on the physical activity being performed, and over time, through repeated use and practice, will provide the user with improved performance or rehabilitation when subsequently performed without the exercise device.

A system for training a user to perform a physical activity includes a control device that obtains movement information associated with a portion of a user's body and provides image information to a display device that displays an image associated with the portion of the user's body with a second image associated with a first target that is associated with physics information associated with simulated physical characteristics of the first target and a third image associated with a second target. The control device controls movement of the first image relative to the second image and the second image relative to the third image based on the movement information and the physics information.

Systems, methods, and computer-readable media for monitoring and motivating physical activity of a user with an electronic device are provided.

A system to augment motion via a battery-powered active exoskeleton boot is provided. The system can include a controller and an electric motor that generates torque about an axis of rotation of an ankle joint of the user. The controller can receive sensor data associated with activity of the exoskeleton boot during a first time interval. The controller can determine, based on the sensor data input into a model trained via a machine learning technique associated with one or more users performing one or more physical activities, one or more commands for a second time interval. The controller can transmit the one or more commands generated based on the model to the electric motor to cause the electric motor to generate torque about the axis of rotation of the ankle joint of the user in the second time interval.

The present disclosure generally relates to user interfaces and more specifically to techniques for displaying user interfaces associated with physical activities. Exemplary user interfaces related to activity competitions are described. Exemplary user interfaces related to a friends list for activity sharing are described. Exemplary user interfaces associated with alerts presented to a user in response to automatically determining a boundary of a workout are described. Exemplary user interfaces associated with configuring a pace alert for a workout application are described.

A Vaginal Hygienic Obstructor Prosthesis device comprising of a single piece article that forms an implantable obstructor. Described as implantable portion one wherein joins continuously to second portion. Second portion possesses a saddle back flange that parallels posterior to anterior to the first portion wherein possesses a bulbous, peanut shape joining portion two at the central most convex point of portion two described as a saddle back flange by an hour glass shape, furthermore portion two is fixed outside of the body to leverage implanted portion one, wherein is implanted in position to close vaginal opening physiologies. A flexible article for ergonomic fitting, physical activity, insertion, sealing, unsealing, removal of leveraged position for implant cleaning, re-application and manufacturing.

This invention discloses a method for identifying the physiological state of adult product users based on multi-sensor data acquisition, relating to the fields of intelligent health monitoring and biosignal processing technology. This invention uses non-negative matrix factorization (NMF) technology to decompose multi-channel non-steady-state electromyographic signals collected from the pelvic floor and core muscle groups into multiple muscle coercive elements and their temporal activation coefficients. Each coercive element represents a fixed pattern of muscle cooperating under neural drive, while the activation coefficient reflects the change of this pattern over time. Sexual arousal, as a specific neurophysiological process, induces the activation of coercive elements with specific spatiotemporal patterns. By tracking the activation and evolution of specific coercive patterns, the neural control fingerprint reflecting sexual arousal is extracted from the original signal contaminated by motion noise. This effectively distinguishes between ordinary muscle contractions caused by device use and physical activity and autonomous neuromuscular activities related to sexual responses, overcoming the defects of susceptibility to interference and insufficient specificity.

Provided herein are methods and devices for determining a personalized circadian rhythm identification and prediction from wearable data comprising: obtaining or having obtained data from one or more wearable devices during one or more daytime and nighttime cycles; using a processor and a machine learning algorithm comprising: determining a daytime threshold and a nighttime threshold from the data obtained during the one or more daytime and nighttime cycles by: temporally segmenting the data; identifying one or more daytime and nighttime boundary by: selecting from at least one of physical activity, heart rate, or sleep status data; temporally segmenting the physical activity, heart rate, or sleep status data to establish a circadian rhythm; using at least one of a 2-mean, 5-mean, or K-nearest neighbor algorithm to determine the one or more daytime and sleeptime boundaries; and identifying and predicting the personalized circadian rhythm.

Methods, systems, and devices for activity classification are described. A system may receive physiological data associated with a user via a wearable device, where the physiological data includes at least motion data. The system may identify an activity segment during which the user is engaged in a physical activity based on the motion data, where the activity segment is associated with activity segment data including at least the physiological data collected during the activity segment. The system may generate activity classification data associated with the activity segment based on the activity segment data, the activity classification data including a set of classified activity types and corresponding confidence values. The system may then cause a graphical user interface (GUI) of a user device to display the activity segment data and at least one classified activity type of the set of classified activity types.

This invention relates to compositions comprising branched-chain amino acids (BCAA) and the dipeptide L-alanyl-L-alanine, and their use in improving performance and recovery during physical activity and in preventing and / or treating muscle degeneration associated with pathological conditions or age-related conditions.

The present invention relates to a system and a method for evaluating motion imitation. According to an embodiment of the present invention, a user's motion performance accuracy is evaluated in real time and the result is converted into a score and provided to the user, thereby promoting motivation for motion performance and improving physical activity. In addition, according to the present invention, a user's motion performance state can be more accurately and quickly analyzed on the basis of image analysis and joint coordinate extraction technology, thereby stably evaluating a motion regardless of physical conditions and motion environments of various users such as seniors and infants.

A tip presentation device according to the present invention has a myoelectric data input unit, a muscle synergy analysis unit, a prompt input unit, a tip extraction unit, and a tip presentation unit. The myoelectric data input unit receives input of myoelectric data. The muscle synergy analysis unit analyzes muscle synergy from the myoelectric data inputted into the myoelectric data input unit. The prompt input unit receives input of a prompt for a large language model. The tip extraction unit uses the large language model to extract a tip for physical activity from the results of the analysis of muscle synergy by the muscle synergy analysis unit and the prompt inputted into the prompt input unit. The tip presentation unit presents the tip for physical activity extracted by the tip extraction unit.

A health impact assessment method and system applied to urban planning schemes, the assessment method comprising the steps of: (1) based on the spatial data and attribute data of the present situation and the urban planning scheme; (2) calculating the PM2.5 change (Delta Air) and the physical activity change (Delta PA) of the present situation and the urban planning scheme scenario relative to the present situation; (3) calculating the disease incidence / death number change (H) caused by the urban planning scheme; (4) whether the planning scheme optimization is needed is judged by the evaluation personnel according to the output of step 3. The system comprises an index calculation module, a PM2.5 / physical activity change calculation module, a health result calculation module, a planning scheme optimization module and the like. Based on the evaluation path of "built environment-health risk / health behavior-health result", a complete quantitative health impact assessment method is constructed, which can face the urban planning scheme, calculate the health result change of the urban planning scheme relative to the present situation, and support the planning decision and the urban planning scheme optimization.

The present invention addresses the problem of providing a measure proposal device or the like capable of proposing a personalized behavior modification measure for improving quality of life (in particular, dietary habits, physical activity, or sleep). A measure proposal device according to the present embodiment acquires actual dietary habit data relating to the actual dietary habits of a user, acquires intervention measure data relating to an intervention measure by the user for a health matter desired by the user, acquires a diet evaluation score relating to the quality of the current diet of the user using a machine learning model on the basis of the acquired actual dietary habit data, generates intervention measure data relating to an intervention measure that can be added to the intervention measure on the basis of the acquired intervention measure data and the acquired diet evaluation score, and outputs the generated intervention measure data.

The present disclosure relates generally to a method for selecting a predetermined product set for a patient at risk of developing pressure ulcers, comprising: a) determining a plurality of risk parameters associated with the patient, wherein the plurality of risk parameters is selected from the group consisting of sensory perception, moisture exposure, degree of physical activity, mobility, friction and / or shear, skin condition, medication, trauma, fluid and / or food intake pattern, length of hospital stay, perfusion and / or medical condition, b) assessing a risk score associated with the patient based on the risk parameters, c) selecting a predetermined product set based on the risk score, wherein the predetermined product set is selected from at least a standard risk product set and a high risk product set, wherein the standard risk product set comprises a first preventive dressing, a second preventive dressing and a third preventive dressing; the first preventive dressing is a sacral dressing (200); the second and third preventive dressing are heel dressings (300), and the high risk product set comprises the first, second and third preventive dressing, and at least one additional preventive dressing or preventive product. The present disclosure also relates to a product array comprising the standard risk product set and the high risk product set.

Mandibular repositioning devices have a maxillary piece with a right side backmost teeth mold and / or left side backmost teeth mold and a driver flange having an anterior side with a convex curvature protruding from one or both thereof. The devices have a mandibular piece with a protrusive flange extending cranially therefrom positioned to have a posterior side engaged with the anterior side of each driver flange and with a plateau of a preselected height between the base of the protrusive flange and the tooth covering. The posterior side of each protrusive flange has a concave-to-convex curvature from a base of the protrusive flange toward a most cranial point of the protrusive flange and a convex portion of the concave-to convex curvature engages the convex curvature of the driver flange in a rest position. The plateau prevents disconnect between each protrusive flange and a respective driver flange.

Methods, systems, and devices for controlling external devices are described. A method may include receiving physiological data associated with a user from a wearable device, and identifying one or more physiological states, physical activities, or both, associated with the user based on the physiological data. Physiological states may include physiological states associated with waking up, falling asleep, anxiety, relaxation, and the like. The method may further include transmitting an instruction to one or more external devices based on the one or more physiological states, physical activities, or both, where the instruction is configured to selectively modify one or more operational parameters associated with the one or more external devices.