130 results about "Exercise activity" patented technology

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, such as an interval-based exercise class (e.g., an AMRAP or EMOM). 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 during a round or segment, and perform an action for the exercise class.

A training program recommendation system may monitor a user while the user is performing an assessment exercise activity. An exercise chatbot may present the user with an assessment query. The assessment query may request exercise information for the user. A training program recommendation system may apply a health assessment model to the exercise information to determine a health parameter and a user scaling factor. A training program recommendation system may apply a recommendation model to the health parameter and a user response to the assessment query. The recommendation model generates a training program recommendation for the user based at least in part on at least one of the health parameter or the user scaling factor. The training program recommendation includes a training program. A training program recommendation system may provide the training program recommendation to the user.

A fitness device gaming controller to be used to control an application running on a host device. The fitness device operates as a normal piece of exercise equipment, with the capability of turning a user's monitored exercise activity and manual controls into standard gaming inputs for use by a gaming device such as a console or computer. Additional devices may be connected to the fitness device, such as additional sensors or smart devices that can provide additional sensors and controls for incorporation into the gaming inputs.

A stabilizing lower-body swimming garment that enhances a wearer's stability, balance, and control during aquatic activities, especially when swimming in a horizontal position, and is wearable, comfortably and discreetly, for long periods of time in any circumstance in which athletic shorts or pants might be worn, permitting wearers to transition seamlessly from aquatic activities to land-based athletic and non-athletic activities and vice versa. The garment works by incorporating low-density, closed-cell foam along a wearer's outer legs to increase the wearer's righting torque when in water.

An exercise recommendation system may receive exercise information for a user. An exercise recommendation system may, based on the exercise information, identify a missed exercise activity. An exercise recommendation system may, based on the missed exercise activity and using an exercise chatbot, present the user with a query, the query including a request for additional information related to the missed exercise activity. An exercise recommendation system may receive a response to the query. An exercise recommendation system may apply a recommendation model to the response to generate an exercise recommendation.

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 is provided for using any repetitive athletic activity as software input via a motion sensor assembly removably affixed to any limb segment moved by the activity in repeating swings. Embodiments may generate statistics about the intended activity, such as repetition count and cadence (e.g. cycling RPM), for use in triggering software response. Further embodiments may dynamically calibrate for various sensor assembly positions and exercise types (e.g. on the thigh or ankle for leg-pedaling, or on the wrist or upper arm for arm-pedaling, all at any roll about the limb segment's proximal-to-distal axial dimension). Preferred embodiments may handle calibration covertly as the user operates the software's intended purpose (without an overt “calibration phase,” and without needing to request information from the user). Further embodiments may track an intended activity (e.g. leg-pedaling) while identifying other motions (e.g. knee-swaying, knee-shaking, or sensor assembly disruptions) as distinct from the intended activity.

A risk analysis system is configured to collect and monitor sensor data associated with a user to generate an insurance policy or recommend products / services that may be better suited for the user based on the user's gameplay data, fitness data, streaming data, outdoor activity data, location data, etc. The risk analysis system is configured to correlate all the sensor data and control operations of devices to discourage behavior that may increase risk of an accident or other suitable insurance liabilities.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and / or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

A fitness tracking system can include at least one processor and non-transitory memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations including receiving, from one or more wearable devices having sensors for detecting motion of a user, first data characterizing raw motion of a user during an exercise activity, determining, using a first artificial intelligence (AI) model, based on the first data, a readiness metric associated with the exercise activity, determining, using a second AI model, based on the readiness metric, an exercise plan for the user, and providing second data characterizing the exercise plan.

The buffer element may include a texture layer and a second layer disposed over the texture layer. The texture layer includes a plurality of protrusions extending upwardly from a surface of the texture layer. The second layer may include a plurality of recesses, each configured to receive a respective projection of the texture layer. The protrusions of the textured layer form a surface texture on the upper surface of the second layer when a load pressure is applied to the upper surface of the second layer (e.g., by a foot of a user). The cushioning elements may be used to form part of garments, accessories, athletic equipment, and / or articles of footwear, and may be configured to accommodate specific foot anatomy of a user, and / or may be customized to support a user's foot while performing an athletic activity.

An apparatus for configuring a wearable device for exercise tracking includes a data storage unit for storing sensor data generated by a sensor arrangement in the wearable device based on sensed movement of the wearable device and optical movement data including representations of an individual obtained from an image-based monitoring system; and a processing unit configured to: execute a movement tracker model on the sensor data to determine a first exercise activity and an associated first confidence indicator; execute an optical tracker model on the optical movement data to determine a second exercise activity and an associated second confidence indicator; process the movement tracker model based on the first confidence indicator and the second confidence indicator.

1. Name of the product in this design: Grip Strength Playground Ball. 2. Purpose of this design: For exercise activities of children aged three and above. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A system for automatically monitoring activity on an athletic activity area is provided. The network device includes artificial intelligence configured to automatically identify objects and gestures from video received from cameras disposed at the activity area. The artificial intelligence automatically edits the video based on objects and gestures identified from the video and generates a video file including predetermined objects and gestures. The artificial intelligence may generate a video including each trial completed by a particular athlete and may provide the video automatically to the player or a third party.

The invention provides a health management method and system based on big data, and belongs to the technical field of big data and health management, the method is realized based on cluster equipment, and the method comprises the following steps: step S100: determining a first cluster to which a first user currently belongs; s200, judging whether a cluster updating time point is reached or not, and if yes, updating the first cluster; s300, obtaining updated data of the updated first cluster; and S400, based on the update data, obtaining an updated health management strategy. The health management strategy comprises one or any combination of a diet management strategy, an exercise activity management strategy, a physical sign data measurement management strategy and a health target management strategy. The system comprises a cluster device, wherein the cluster device comprises M clusters formed by N different user terminals; according to the technical scheme, a health management strategy based on big data is more active and flexible, the user experience is improved, and meanwhile the user stickiness and the participation degree are enhanced.

In some examples, an electronic device detects initiation of an exercise activity associated with a user of the electronic device. In some examples, in response to detecting the initiation of the exercise activity, the electronic device activates an image compilation capture mode of operation in which one or more images for formulating a compilation of the one or more images corresponding to the exercise activity are captured, including capturing one or more portions of a physical environment. In some examples, while the image compilation capture mode of operation is active, the electronic device visually detects a first object in the one or more captured portions of the physical environment. In some examples, in accordance with a determination that the first object satisfies one or more criteria, the electronic device generates a first event associated with formulating a first compilation of one or more images corresponding to the exercise activity.

Disclosed herein is a device for continuous physiological monitoring as well as systems and methods for interpreting data from such a device. The systems and methods may include automatically detecting, assessing, and analyzing exercise activity, physical recovery states, sleep states, and the like. The acquisition of continuous physiological data may facilitate automated recommendations concerning changes to sleep, recovery time, exercise routines, and the like.

The invention relates to a topical, preferably transdermal preparation and patch, which can deliver its active ingredient content into the skin with near zero-order kinetics, as well as a method for their production. The active ingredient is preferably an NSAID or a capsaicinoid. In particular, the invention relates to a transdermal patch comprising a low dose of capsaicin, which, when placed on the skin, ensures the release of the active ingredient over a long period of time, preferably for 4 to 24 hours, more preferably for 6-12 hours, with near zero-order kinetics. The invention further relates to the production of these preparations. The invention further relates to the use of these preparations to relieve pain, preferably acute pain, and / or chronic inflammatory and neuropathic pain, and as a warm-up patch during sports activities.

Provided is an information processing device with which it is possible to generate a plan of exercise activity with improved level of preference. The information processing device assists in exercise activity by an exerciser and includes: an exercise activity information acquisition unit for acquiring information on exercise activity; a delivery request information acquisition unit for acquiring information on a delivery request including a delivery route of an article from a delivery requester of the article; and a generation unit for generating a plan of the exercise activity passing through the delivery route of the article on the basis of the information on the exercise activity and the delivery request.

The invention discloses a balance force bonesetting and tendon shifting six-step method which comprises the following steps: (1) observing the whole body: observing whether the standing position, the squatting position, the walking posture, the running posture and the take-off posture of the whole opposite side are normal or not, and observing whether a lumbago person does not coordinate with two legs and does not dare to bend down or not when walking, and whether a knee joint pain person is difficult to walk or not and whether the two knees are deformed or not; (2) local observation: observing whether the opposite side has obvious fracture depression, dislocation, swelling and bruise, the joint part has swelling, the color, the shape and the size, and the muscle and tendon are uniform and smooth, and finding the affected part; by designing the balance force bone-setting tendon-shifting six-step method, the method is used for exercising middle-aged and elderly people with difficulty in leg and foot movement, the exercising effect can be achieved without violent exercise, and the problem that some elderly people are difficult to run, swim and other exercising activities after the legs and the feet become inflexible, and consequently the bodies become worse and worse is effectively solved.

An athletic parameter measurement device associated with a first user may include a display, a processor associated with the display, and an athletic parameter measurement sensor. During the athletic activity, the device may detect, using the sensor, athletic activity of the first user. A plurality of video segments, captured by video sources, may correspond to the athletic activity and may be reconstructed to generate a video replay. Video segments of the plurality of video segments may be selected to maximize an image of the user.

The invention relates to a computer-implemented method for providing treatment readiness data (BBD) of a child to be treated in preparation for medical treatment, comprising the steps - Acquisition (S11, S21, S31, S41) of input data (ED), whereby the input data (ED) - a treatment statement relating to the medical treatment to be carried out, - an indication of the child’s age and / or sex, and - include at least one exercise parameter characterising an exercise activity of the child, - applying (S12, S22, S32) a first trained function (TF1) to the input data (ED), thereby generating the treatment readiness data (BBD), - Providing (S13, S23, S33) the treatment readiness data (BBD) to clinical staff in the treating medical facility.

Methods and systems are described for real-time coaching and guidance using a virtual assistant that interacts with a user. A user can receive feedback inferences provided substantially in real-time after a video sample is collected from the user's device. Neural network architectures and layers can be used to determine motion patterns and temporal aspects of the video sample, as well as to detect the activity of the foreground user despite background noise. The methods and systems can have various capabilities, including but not limited to real-time feedback on the exercise activity performed, exercise score, calorie estimation, and repetition count.

An exercise recommendation system may receive exercise information for a user. An exercise recommendation system may, based on the exercise information, identify a missed exercise activity. An exercise recommendation system may, based on the missed exercise activity and using an exercise chatbot, present the user with a query, the query including a request for additional information related to the missed exercise activity. An exercise recommendation system may receive a response to the query. An exercise recommendation system may apply a recommendation model to the response to generate an exercise recommendation.

A set of UEs may be configured to cooperate to calculate an exercise state of a user of the set of UEs. A UE may obtain at least one of a set of relative ranges between UE pairs of a set of UEs, a set of relative angles between the UE pairs of the set of UEs, or a set of radio frequency (RF) sensing measurements associated with a user of the set of UEs. The UE may calculate an exercise state based on at least one of the set of relative ranges, the set of relative angles, or the set of RF sensing measurements.

The present invention relates to the technical field of auxiliary training equipment and proposes a user data analysis method based on a wearable device, comprising: collecting electrocardiogram (ECG) data of an exercise user during training to obtain an ECG sequence, an ECG waveform sequence, and a quasi-period; determining a frequency curve, obtaining an extreme value pair of the frequency curve, and then obtaining a frequency extreme value disorder coefficient; obtaining a fundamental frequency shift coefficient of the ECG data, and then obtaining an intra-cluster fundamental drift deviation coefficient, obtaining a first correlation coefficient, obtaining an ECG waveform quasi-period deviation coefficient, and then obtaining an ECG waveform disturbance distortion index; obtaining a first particle number of the ECG data, denoising the ECG sequence based on the first particle number, obtaining a denoised ECG sequence, and implementing intelligent analysis of exercise activity data based on the wearable device based on the denoised ECG sequence. The present invention aims to solve the problem of being unable to dynamically adjust the denoising of training data based on the exercise state of the exercise user, resulting in poor denoising effect.

System and method for creating an exercise plan for a user based on a goal state of a digital twin of the user. A baseline state of the digital twin is created based on a first 3D model of the user and first physiological data of the user. Using a machine-learning model, an exercise plan for the user, comprising one or more motion profiles, is created that most likely effectuates a goal state of the digital twin from the baseline state of the digital twin. Electronic exercise equipment is configured to physically manifest the one or more motion profiles during exercise activity of the user, and data is acquired by the electronic exercise equipment based on the exercise activity.