349 results about "Physical activity" patented technology

A method for using a local large language model (LLM) within a user's secure computing environment is disclosed. The LLM operates behind a firewall to prevent transmission of sensitive data, and utilizes an encrypted vector database and artificial intelligence techniques for content retrieval, response generation, and task anticipation. This system can be used on mobile, wearable, vehicle, or IoT devices and offers various services such as health monitoring, financial advice, automated communications handling, and personalized daily activity optimization. It also has the ability to detect fraud, fine-tune responses using augmented user data, assist in negotiations, identify personal interests, and provide health recommendations based on dietary and physical activity data.

A wearable device consists of a smart band and a display unit. The smart band comprises a microbial biosensor, a particulate matter sensor, an enviro sensor, a physiological sensor, a biofluid sensor, a biokinetics sensor, a lifestyle sensor, and a single board computer. The microbial biosensor detects, measures, and monitors microorganisms, and a sterilizer kills pathogens. The particulate matter sensor detects, measures, and monitors a set of suspended particles in the surrounding air. The enviro sensor monitors environmental conditions surrounding the user. The biofluid sensor detects, measures, and monitors biological fluid parameters of the user. The physiological sensor detects, measures, and monitors physiological parameters of the user. The biokinetics sensor detects, measures, and monitors physical activities of the user. The lifestyle sensor detects, measures, and monitors healthy lifestyle activities of the user. The wearable device allows for continuous monitoring of user health for accurate clinical outcomes and wellness programs.

A method for using a local large language model (LLM) within a user's secure computing environment is disclosed. The LLM operates behind a firewall to prevent transmission of sensitive data, and utilizes an encrypted vector database and artificial intelligence techniques for content retrieval, response generation, and task anticipation. This system can be used on mobile, wearable, vehicle, or IoT devices and offers various services such as health monitoring, financial advice, automated communications handling, and personalized daily activity optimization. It also has the ability to detect fraud, fine-tune responses using augmented user data, assist in negotiations, identify personal interests, and provide health recommendations based on dietary and physical activity data.

The present disclosure generally relates to user interfaces for navigating and providing physical activity information.

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.

Wearable devices protect against musculoskeletal injuries and enhance performance. Systems and methods provide wearable devices to assist with human motion during physical activities, such as performing movements (e.g., lifting) and holding static poses (e.g., crouching, or holding a tool while working overhead). Materials, constructions, and system architectures allow the wearable devices to be worn over, under, or integrated into clothing for extended periods of time to improve performance or reduce risk of injury. Sensors may be included in the wearable devices to detect various activities, motions, and postures of the wearer, and various active and semi-active controls approaches may leverage sensor information to provide tailored assistance to individual users. Various controls optimization techniques ensure the wearable devices operate at peak efficiency.

Examples relate to a fatigue detection system to monitor and assess pilot fatigue levels during flight operations. An example system includes a wearable biometric sensor (WBS) integrated into a wristband that captures biometric data from the pilot. A processor analyzes the captured data to determine the pilot's fatigue level. When this level exceeds a predetermined threshold, the system provides an alert to the pilot through a haptic feedback mechanism in the wristband. Additionally, the system generates personalized fatigue mitigation advice, which is displayed on an electronic flight bag (EFB) application accessible to the pilot. The advice may include recommendations for taking a controlled rest, consuming caffeine, or engaging in physical activity. The system enhances flight safety by providing real-time alerts and actionable advice to combat pilot fatigue.

The present disclosure relates to a method and system for acquiring and analyzing multi-modal data to monitor, forecast, and manage one or more symptoms of the neurodegenerative disorders such as Parkinson disease of a subject. The multi-modal data may include sensor data from a wearable sensing device, medications data, symptom-intensity scores for one or more symptoms, and mobility metrics of the subject. A predicted symptom-intensity score (e.g., absolute or relative value) may be generated for each of the one or more symptoms using a symptom-forecasting model (e.g., a machine learning model) and for each of one or more future time periods. Based on the predicted symptom-intensity scores, a trend can be generated for a selected time period. The disclosed system may output a result that comprises of intervention actions, such as medication administration, physical activity, or any other intervention that can be used to control symptoms severity.

The present disclosure relates to a method and system for acquiring and analyzing multi-modal data to monitor, forecast, and manage one or more symptoms of the neurodegenerative disorders such as Parkinson disease of a subject. The multi-modal data may include sensor data from a wearable sensing device, medications data, symptom-intensity scores for one or more symptoms, and mobility metrics of the subject. A predicted symptom-intensity score (e.g., absolute or relative value) may be generated for each of the one or more symptoms using a symptom-forecasting model (e.g., a machine learning model) and for each of one or more future time periods. Based on the predicted symptom-intensity scores, a trend can be generated for a selected time period. The disclosed system may output a result that comprises of intervention actions, such as medication administration, physical activity, or any other intervention that can be used to control symptoms severity.

An approach for assisting users with physical activities by using one or more exoskeleton suits is disclosed. The approach includes, receiving a plurality of data from a user and devices; analyzing one or more problems associated with the plurality of data; determining one or more solutions for the one or more problems based on the analysis; identifying an optimal solution from the one or more solutions; instructing the one or more exoskeleton suits with the optimal solution, wherein the user wears the one or more exoskeleton suits; and performing the instructions, by the exoskeleton suits, based on the optimal solution.

The present disclosure relates to system and method for coordinating and providing overall feedback for one or more users performing one or more physical activities at one or more locations. The feedback may be generated as AI feedback or human feedback. The method involves data capturing and coordinating the physical activities of the multiple users. The information to be captured is regarding performance activity of the multiple users and processing the same information in real time using AI assisted model. The method includes comparing each user's activity performance data including various performance parameters having a set of target activity performance parameters. The method includes generating feedbacks based on the comparison of the performance parameters. The feedbacks generated are shared with the users and rendered on the multimedia output device available to the users. The method includes sending the feedback to external portals via corresponding Application Programming Interfaces (APIs).

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.

A computer-implemented method for treating a patient suffering from Type I Diabetes (T1D). The method can include quantifying physical activity (PA) of the patient; calculating an accumulated PA periodically based on the quantified PA, the accumulated PA indicating an aggregate of the PA; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with a previous activity component, wherein the previous activity component is based on the accumulated daily PA, an activity profile, and an activity factor of the patient. The method can include determining an additional glucose uptake within a time period, the additional glucose uptake being caused by a PA; translating the additional glucose uptake into a number of insulin units with a same BG lowering impact; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with the insulin units.

A sports bra exhibits increased resistance in response to increased force. The sports bra includes a front curved region for accommodating a wearer's breasts, the front curved region including a shear-thickening foam. The shear-thickening foam is relatively flexible up to a first force and is relatively rigid above the first force to retain the wearer's breasts within the front curved region during vigorous physical activity. A back panel connecting to the front curved region such that the force is at least partially transferred to an upper back or shoulder region of the wearer. A body protecting element protects a body part from an external impact, the body part selected from head, knee, shin, elbow, foot, leg, torso, arm, wrist or hand. The body protecting element includes a housing conforming to the shape of the selected body part. A shear-thickening foam is included in the housing.

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.

An athletic apparel with an internal front pocket allowing users to conveniently wipe away sweat while engaging in various physical activities and athletic endeavors, including a first part indicating a front portion, and a second part indicating a rear portion. The first part includes the internal front pocket capable of absorbing sweat. The athletic apparel includes an opening at the first part allowing the user to insert hands and wipe off sweat on the internal front pocket. The internal front pocket mounts at or above a torso portion, or at the bottom or side of the athletic apparel. The athletic apparel allows the user performing various physical activities and experiencing excessive sweat to keep hands dry without the need for towels or wristbands. The athletic apparel integrates the internal front pocket at an interior of the athletic apparel and provides a convenient and efficient way to manage perspiration.

The invention relates to a wearable fitness monitoring system that uses advanced sensor technology to track real-time muscle engagement, posture, and fatigue levels during physical activity. The system comprises a capacitive sensor system, incorporating elastic silver fiber cloth and medical-grade silicone, for precise muscle movement detection; a motion sensor for tracking movement along multiple axes; and an AI-powered processing unit to provide ergonomic feedback, prevent injuries, and optimize performance. It features dynamic self-calibrating sensors that adjust to user-specific movements using machine learning algorithms. The system offers personalized workout plans, adjusting in real-time based on biometric feedback, environmental conditions, and muscle fatigue. Additionally, it integrates Bluetooth Low Energy (BLE) for wireless communication, haptic feedback for posture correction, and AR / VR for immersive workout guidance. The system includes cloud-based data storage with encryption and supports blockchain for secure data management, offering a comprehensive, personalized fitness experience that improves workout efficiency and safety.

The disclosure relates generally to methods and systems for real time video driven human 3-dimensional (3-D) posture estimation during physical activities. Conventional techniques do not exploit temporal information, they do not give smooth transition of postures over time. Furthermore, the techniques that exploit the temporal information suffer from higher time requirements due to two state computations. The present disclosure solves the technical problems in the art with the methods and systems for real time video driven human 3-D posture estimation during physical activities. The present invention discloses a smart-phone camera based automatic posture monitoring system designed with an auto-encoder based architecture. The disclosed auto-encoder based cross-modal method uses monocular video (2-D image sequences) from a single low-end mobile device (for example, smart-phone camera) for estimating human 3-D posture in real time (˜5 fps) with high accuracy (less than 1 cm error per joint location).

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.

A method for assessing pain experienced by a patient (3) comprises: receiving a sensor signal (8) which has been generated in a sequence of epochs (10) by a sensor (2) configured for measuring a physical activity of the patient (3), wherein each epoch (10) comprises a sequence of measurement periods (11), wherein the sensor signal (8) has been generated in each measurement period (11); determining a signal intensity value (12) for each measurement period (11) from the sensor signal (8); classifying the signal intensity values (12) of each epoch (10) with different physical activity classes (13a, 13b, 13c, 13d) to obtain a classification result (15) for the epoch (10); and determining a behavior assessment score (16) indicative of the pain experienced by the patient (3) from the classification results (15) of different epochs (10).

An assessment of basal cardiac fitness uses noninvasively obtained physiological measures to determine the presence of a basal physiological state and cardiometric measures to determine cardiac fitness. In the presence of preload independence and cardiac vagal control, cardiometric signals are acquired that are sensitive to cardiac function and include information indicative of the opening and closing of the individual's aortic valve. The cardiometric signals are analyzed by a cardiac fitness assessment system for the determination of basal cardiac fitness. The invention assures preload independence through the assessment of observational physiological parameters or the use of physiological parameters obtained following alterations in venous return. The invention assures the presence of cardiac vagal control by assessment of measured parameters, including the presence of respiratory sinus arrhythmia. The resulting test is specific for cardiac function without dependencies on physical activities associated with heart rate elevation or respiratory capabilities.

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.

Methods and systems are provided to assess physical movements of a patient based on a video or consecutive images taken of the patient performing a particular physical activity. The assessment can be used for determining a medical disorder or a stage of a medical disorder that the patient suffers.

A method for tracking and measuring body flexibility and balance of a user during physical activity is provided. The method includes capturing sensor data from a plurality of wearable devices for tracking and determining body posture, analyzing the captured sensor data to determine a plurality of parameters including information related to body posture and physical metrics including balance and flexibility, and displaying a balance score, a flexibility score, and transition over time based on the analysis.

The invention provides a personal health steady state monitoring and calibration method and system, equipment and a storage medium. The method comprises the following steps: acquiring a current measurement result of a user physiological index, multi-camera data recorded during measurement and corresponding measurement time; calculating a face temperature field and breath / pulse data when the physiological indexes of the user are measured through the multi-camera data; adjusting the current measurement result of the physiological indexes of the user by referring to the steady-state data of the same time node according to the respiratory frequency and the face temperature field of the user; and judging whether the user index is abnormal or not based on the adjustment result and the normal range standard of each physiological index. According to the invention, when health monitoring is carried out on residents in the field of health management, physiological index fluctuation caused by physical activity states or external environments can be compensated intelligently and automatically, stable health state boundaries of the residents can be calculated more accurately, and real abnormal fluctuation conditions of the residents can be better monitored.

A wearable device for monitoring physical activity of a user, the wearable device being reversibly attachable to a chest strap and an arm strap. The wearable device comprises an ECG sensor arranged to collect ECG measurements of the user only when the wearable device is attached to the user's chest by the chest strap, and a PPG sensor arranged to collect PPG measurements of the user when the wearable device is attached to the user's arm or wrist by the arm strap. The wearable device also comprises control circuitry arranged to switch the wearable device between an ECG only mode and a PPG only mode. In the ECG only mode, the control circuitry is configured to control the ECG sensor to collect ECG measurements but prevent the PPG sensor from initiating PPG measurements. In the PPG only mode, the control circuitry is configured to control the PPG sensor to initiate PPG measurements but prevent the ECG sensor from collecting ECG measurements.

Systems and methods are provided for capturing image data using an imaging device of a head-wearable device and modifying the image data with captured sensor data. An example method includes receiving image data captured by an imaging device of a head-wearable device worn by a user during performance of a physical activity, and receiving, during performance of the physical activity, sensor data sensed from the user by one or more sensors. The sensor data includes, at least, biometric data. The method includes generating modified image data based on the sensor data and the image data. The modified image data includes the image data and an overlay including, at least, the biometric data. The method also includes providing the modified image data to an electronic device, and causing presentation of the modified image data at a user interface displayed at the electronic device.

Provided is a method for treating musculoskeletal atrophy in patients suffering from a neurological or neuromuscular disease or disorder by combining testosterone replacement therapy with neuromuscular electrical stimulation of multiple muscle groups and, optionally, physical activity.