16 results about "Activity tracking" patented technology

Embodiments described herein relate to systems, devices, and methods for use in the implementation of a brain-computer interface that integrates real-time eye-movement tracking with brain activity tracking to present and update a user interface that is strategically designed for high speed and accuracy of human—machine interaction. Embodiments described herein also relate to the implementation of a hardware agnostic brain-computer interface with specific user interface adaptations to enable high-speed, intuitive, and accurate user manipulation of applications and / or machines.

The present invention pertains to an advanced method for automatically detecting and recognizing wellness activities and kinetic movements using accelerometer data from wearable devices. This method involves creating a user profile, linking the user to their wearable device via specific identifiers (make, type, and unique device ID), and processing accelerometer data to develop and continuously update a supervised machine learning model. This model accurately identifies and classifies various physical activities by utilizing detailed device information and user preferences. Designed for scalability, the system integrates new wearable devices and models as they emerge. It is particularly effective in tracking activities across diverse environments, including homes and fitness centers. Moreover, it identifies and associates ICD-10 activity codes with the performed activities and integrates with Electronic Medical Records (EMR) systems. This method offers valuable applications for fitness centers, healthcare providers, government agencies, and payers interested in monitoring or promoting physical wellness through reliable activity tracking.

This system will allow voters to quickly grasp information about candidates, enabling them to make informed voting decisions, and also provide a way to follow their activities as legislators after the election. [Solution] A system comprising: information gathering means for collecting data from election management agencies, local government websites, parliamentary broadcast data, candidates' social media, blogs, election information websites, and general social media; information analysis means for analyzing, extracting, and classifying the collected data; database registration means; user interface means for providing an interface for users to select their interests, electoral districts, and specific candidates; candidate suggestion means for searching the database for and presenting the most suitable candidate; candidate comparison means for comparing and displaying information such as policies and achievements for multiple candidates selected by the user; and legislator activity tracking means for periodically collecting information on legislators' activities after elections, allowing users to check the legislators' activities even after elections.

The present disclosure provides systems and methods for monitoring tracker activity for applications on an electronic device. A monitoring process running on an electronic device is configured to monitor network connections of at least a first application running on the electronic device to identify network connections that connect to a network endpoint associated with an activity tracker. Based on the monitoring, tracker monitoring information is generated for at least the first application. The tracker monitoring information identifies activity tracking initiated by the first application. Based on the tracker monitoring information, the monitoring process performs an action.

The invention relates to the technical field of data processing, and discloses an employee work saturation and bearing capacity analysis system, which comprises a data acquisition module used for acquiring multi-source dynamic data of employees; the fusion calculation module is used for calculating a comprehensive score based on a dynamic weighted entropy fusion method, and the formula is as follows: information entropy; the decision recommendation module is used for performing saturation dynamic prediction and cross-post matching through an improved hidden Markov model and a Q-learning algorithm; through multi-source data fusion and HMM model improvement, employee saturation is quantified in real time, hysteresis of static KPI is avoided, intelligent cross-post matching can be realized, man-post optimization configuration is realized through cosine similarity and a Q-learning algorithm, in addition, pressure sensing and activeness tracking are realized through a closed-loop feedback mechanism, a post transfer effect is dynamically verified, and the method is suitable for mass production. And the decision risk is reduced, the anti-deviation capability is strong, and the influence of subjective evaluation is reduced based on the dynamic weighting method of the information entropy.

The invention provides a scholar academic activity automatic accurate tracking method and system based on a large language model, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing a user calibration crawling frequency; target scholar feature extraction is executed to establish a feature set; inputting the feature set into a frequency dynamic compensation network to output a correction factor, compensating a crawling frequency according to the correction factor, and then executing data acquisition; performing multi-dimensional identity authentication on an acquisition result; and performing academic activity extraction model event verification by using the authentication result, and realizing academic activity tracking management according to the verification result, thereby solving the technical problems of insufficient comprehensiveness, accuracy and real-time performance of automatic tracking of scientific research information of scholars caused by dependence on static data in a traditional academic activity tracking method of the scholars. The technical effects that dynamic updating and accurate tracking of academic activities of scholars are achieved through multi-source heterogeneous data dynamic collection, event extraction driven by a large language model and a multi-dimensional cross validation mechanism, and the information obtaining efficiency and accuracy are improved are achieved.

A system for evaluating health risk is provided. The system may be configured for requesting first data from a merchant associated with a user and second data from an activity tracking service associated with the user. The system may also comprise analyzing the item to determine a first health impact for the item based on the item and demographic information associated with the user. The system may further comprise analyzing the level of activity to determine a second health impact from the level of activity based on the level of activity and the demographic information associated with the user. The system may further comprise selecting an advertisement based on medical data, and at least one of the first health impact, the second health impact and the demographic information associated with the user.

Embodiments relate to systems and methods for assigning a medical tracking application to a client device to provide codified medical instructions and receive medical activity about the client device. An external computer manages client device assignments that execute the medical tracking applications. Embodiments relate to systems and methods for improved security and activity tracking. For example, an external computer may be physically separate from the client's device, allowing for a separate control point to add security and detectability elements to medical events that are taking place.

The invention relates to a multi-mode activity tracking user interface. The present disclosure relates generally to user interfaces and techniques for monitoring fitness activities. In accordance with some embodiments, user interfaces and techniques are described for transitioning between a user interface mode for measuring activity metrics and a user interface mode for measuring different activities based on detecting that user characteristics have changed. In accordance with some embodiments, user interfaces and techniques are described for measuring activity data and providing activity reviews in response to activity-based events, where different activity reviews are provided based on user characteristics.

A chair that provides movement of a seat about an axis of rotation above the seat plane with the seat having a sensor in communication with a computer system that tracks movement. The seat may be simultaneously pivotable about a second axis of rotation defining a range of motion for the seat about the two axes. An actuation system in communication with the computer system can move the seat to desired positions and / or prevent the seat from being positioned at certain locations within the range of motion. The computer system may also include an application that can promote user movement within the seat and allow movement of the seat to be used for gaming, health monitoring and treatment, activity tracking, and the like. The chair may include a mechanism that has one or more glides operably received in curved structures to provide the movement about the axes.

1. Name of the product in this design: Smart Bracelet (H59max). 2. Purpose of this design: A smart bracelet for functions such as activity tracking, sleep monitoring, vibration alerts, and time and date display. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

Music classifier for an audio device, the music classifier comprising the following: a signal processing unit configured to transform a digitized time-domain audio signal into a corresponding frequency-domain signal encompassing a variety of frequency bands; a multitude of decision-making units operating in parallel, each configured to evaluate one or more of the multitude of frequency bands in order to determine a multitude of feature ratings, each feature rating corresponding to a property associated with music; and a combination and music recording unit configured to to receive the multitude of feature ratings asynchronously from the decision-making units, and to combine the multitude of feature ratings over a period of time to determine whether the audio signal includes music, wherein the multitude of decision-making units includes a modulation activity tracking unit configured to detect broadband modulation based on a minimum averaged energy and a maximum averaged energy of a sum of the multitude of frequency bands.

Techniques for activity tracking for multiple users on a device are described. For instance, the described techniques can be implemented to detect that a first user is in possession of a client device and to track physical activity of the first user as part of an activity log of the first user. The techniques can detect, via sensor data, that possession of the client device switches from the first user to a second user, and track physical activity of the second user as part of an activity log of the second user. In implementations the techniques can track physical activity of multiple users via a single device.

In order to facilitate the entity resolution and entity activity tracking and indexing, systems and methods include receiving first source records from a first database and second source records from a record database. A candidate set of second source records is determined by a heuristic search in the set of second source records. A candidate pair feature vector associated with each candidate pair of first and second source records is generated. An entity matching machine learning model predicts matching first source records for each candidate second source record based on the respective candidate pair feature vector. An aggregate quantity associated with the matching first source records is aggregated from a quantity associated with each first source record, and a quantity index for each candidate second source record is determined based the aggregate quantities. Each quantity index is displayed to a user.

Methods and processes for activity tracking and health analytics applications can include a smart ring device comprising embedded sensors configured to collect user data. The collected data can be used to provide three-dimensional finger motion tracking analysis. In addition, or alternatively, the collected data can be used to provide blood alcohol concentration measurement and analysis.