49 results about "Activity level" patented technology

A system includes a processor that collects data representing activity levels, sleep patterns, and food intake from an information collection device attached to a dog, transmits the collected data to an analysis server, wherein the analysis server inputs the collected data into a generative artificial intelligence model and analyzes the data, transmits analysis results to a terminal and notifies a user, receives user input regarding questions or symptoms of the dog and generates advice using the generative artificial intelligence model, transmits the generated advice to the terminal for display to the user, and provides online consultation reservation with a veterinarian.

A motion detector that can automatically adjust a dwell time used by the motion detector to prevent unnecessary transmissions as an activity level of an area increases or decreases. The motion detector determines the activity level in the area and if the activity level is increasing, the dwell time is reduced and vice-versa.

This invention relates to the field of environmental data processing technology, specifically disclosing a closed-loop management method for carbon footprint data quality control and evaluation. It includes: loading product category rules for accounting logic verification; performing integrity checks, anomaly detection, and physical balance verification on activity level data; performing multi-dimensional quantitative scoring on emission factor data based on time, geography, technology, and source characteristics; calculating the proportion of primary activity level data in real time and adjusting the entry threshold for emission factor data; calculating the data quality score for dimensions and the overall product, and performing tiered feedback based on the data quality score and carbon footprint contribution weight to trigger data optimization. This invention solves the problems of idle primary activity level data proportion indicators and lack of traceability in quality evaluation in existing technologies by integrating methodological logic, data cleaning, dynamic threshold adjustment, and recursive quality evaluation into a closed-loop architecture, thus achieving proactive control and continuous improvement of carbon footprint data quality.

This invention provides a method for predicting individual mortality rates based on activity data from wearable devices, comprising the following steps: acquiring multi-source characteristic data of the target individual, wherein the multi-source characteristic data includes at least activity data and baseline characteristic data, the activity data being collected by the wearable device worn by the target individual over a continuous monitoring period, and the baseline characteristic data including at least one of demographic characteristics, health characteristics, living environment characteristics, and lifestyle characteristics; processing the activity data to calculate an average activity data feature value representing the overall activity level of the target individual; inputting the average activity data feature value and the baseline characteristic data together into a trained nonlinear machine learning prediction model, and the prediction model outputting a predicted mortality risk value for the target individual within a preset future time window. This invention integrates the average activity data feature value with traditional baseline characteristic data, enabling risk assessment to be updated synchronously with an individual's daily activity level.

A notification device 200 comprises: a storage unit 210, which stores first information in which a first range of activity levels in a case where a worker is in one state is associated with a second range of heart rates in a case where the worker is in the first state; a sensing unit 221, which senses the worker's activity level per unit of time during work and the worker's heart rate per unit of time during work; and a notification control unit 222, which reports second information relating to the first state when the sensed activity level is within the first range and the sensed heart rate is within the second range.

A system for treating disordered breathing of a human being includes an implantable transvenous stimulation lead having at least one stimulation electrode and a sensor configured to detect activity level of the human being. The system includes an energy source, a pulse generator and circuitry, the circuitry operative to receive a signal indicative of the activity level of the human being from the sensor, wherein the circuitry is configured to cause the energy source and the pulse generator to deliver spaced apart stimulation signals to the at least one stimulation electrode while the activity level of the human being is sufficiently low to be indicative of sleep. Spaced apart stimulation pulses from the electrode are configured to extend a duration of a time of at least one breath being defined as the time from an onset of inhalation to the onset of inhalation of a successive breath.

Activity level and fall detection using accelerometer data is described. In one or more implementations, measurements of a user generated by a wearable monitoring device during an observation period are obtained, the measurements including accelerometer data. Physical steps taken by the user are detected based on peaks in the accelerometer data above a threshold, and a step count is generated based on the detected physical steps within predetermined time epochs. Activity level classifications of the user for the predetermined time epochs are generated based on the step count. The step count and the activity level classification for the predetermined time epochs may then be output, such as a notification or in a user interface. Fall predictions may be generated and output by processing the accelerometer data using machine learning models trained to correlate patterns in accelerometer data to fall events.

The invention provides an infant feeding demand assessment method and device. The method comprises the following steps: acquiring basic physiological information, activity data and nutrition intake information of a to-be-assessed infant; the obtained basic physiological information, activity data and nutrition intake information are input into an energy consumption model, and the energy consumption model determines the basal metabolic rate of the infant based on the weight and gender information and determines the exercise consumption of the infant based on the heart rate, the activity level, the body temperature, the weight and the non-eating duration; total consumed energy of the infant is determined based on the basal metabolic rate and the exercise consumption; the current total intake energy of the infant is obtained through the energy intake model; and inputting the acquired basic physiological information, nutrition intake information, total consumed energy and current intake total energy into a feeding demand evaluation model to obtain a feeding demand evaluation result of the to-be-evaluated infant. According to the invention, real-time feeding demand evaluation and personalized evaluation of infants can be realized, and the accuracy of feeding suggestions is improved.

A method for monitoring hydration of a living body of a user includes: obtaining an individual physiological data of the user; obtaining a sensor data associated with the living body of the user; determining, based on the sensor data, an estimated net amount of water intake of the living body and an estimated physical activity level of the living body; calculating daily water requirements for the living body based on the individual physiological data and the estimated physical activity level; comparing the calculated daily water requirements for the living body with the estimated net amount of the water intake of the living body; and providing at least one individual recommendation based on a result of the comparing, the at least one individual recommendation being associated with a recommended amount of water for the user to take.

A reinforcement learning process with self attention is used for insulin dosing decisions in an automated medical system. The State-Action-Reward-Next State (SARS) sequence is used. The state represents the current condition, including recent continuous glucose monitoring readings, insulin doses, meal information, and potentially other relevant factors like time of day or physical activity levels. Based on this state, the agent takes an action by deciding on an insulin dose. It then receives a reward, a numerical value quantifying the quality of the action, based on resulting glucose levels and their proximity to the target range. This leads to a new state, and the process repeats. Through this iterative process, the algorithm updates the neural network weights, allowing the agent to learn which actions lead to better outcomes in different states.

This application provides a control method, device, processor, and air conditioning system for an air conditioner. The method includes: upon receiving an activation command, acquiring environmental information and human body information. The environmental information includes indoor temperature information and air conditioner operating mode information. The human body information includes the human body temperature, activity level, and location information of a target object within a predetermined space. The predetermined space is the space where the air conditioner is located, the indoor temperature is the temperature within the predetermined space, and the operating mode is either heating mode or cooling mode. Based on the human body information, determining the human comfort temperature corresponding to the target object; and based on the human comfort temperature, operating mode, location information, and indoor temperature, controlling the air conditioner to activate and adjusting the air conditioner's airflow direction, wherein the airflow direction is either away from or towards the target object. This application solves the problem in the prior art where the air conditioner requires manual adjustment of the airflow direction when first turned on, resulting in a low degree of automation.

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.

The invention provides a method for acquiring a maximum heart rate, which is applied to first electronic equipment and comprises the following steps: judging that a motion record exists in the first electronic equipment, the motion record comprises data recorded in a process of performing at least one type of motion, judging that various types of data are updated at least once in a first duration, and if the data are updated at least once in the first duration, determining that the data are updated at least once in the first duration. The multiple types of data comprise the physical activity level, the maximum oxygen uptake and the resting heart rate, the physical activity level represents the strength of physical strength consumed within the second duration, and the first maximum heart rate is obtained based on the multiple types of data and a preset model. The maximum heart rate obtained based on various types of data has higher accuracy.

A system is provided.SOLUTION: A system for managing a physical condition and an action of a dog, comprising: means for measuring an activity amount, a heart rate, and position information of an animal using a sensor; terminal means for receiving data acquired from the sensor; server means for analyzing the data received from the terminal means and evaluating a health condition of the animal; and means for notifying a user of an analysis result of the server means via the terminal means.SELECTED DRAWING: Figure 1

Systems and methods are provided for delivering closed-loop or partially closed-loop baroreflex activation therapy (BAT) to treat conditions associated with autonomic dysfunction. A pulse generator delivers stimulation while physiological data, such as ECG, heart rate variability, bioimpedance, and physical activity levels, is collected from one or more sensors. The data is analyzed to assess autonomic nervous system activity, and stimulation parameters are dynamically adjusted in response. In some embodiments, adjustments are made on a beat-to-beat basis using ECG input. Artificial intelligence algorithms may be used to predict patient-specific responses, optimize therapy, and evaluate effectiveness. The method may further include integrating patient-reported symptoms, wirelessly transmitting data, or adjusting stimulation duty cycle based on time of day. The system may further incorporate patient-reported symptoms, a clinician dashboard for remote monitoring, and a multi-channel lead. Stimulation may be delivered non-invasively or via an implantable device.

Described herein are apparatuses and methods for classifying a patient as being asleep or awake. Such an apparatus can include an accelerometer and a processor. The accelerometer, alone or in combination with the processor, is used to determine an activity level of the patient and a posture of the patient. The processor is configured to classify the patient as being asleep in response to both (i) the posture of the patient being recumbent or reclined for at least a sleep latency duration, and (ii) the activity level of the patient not exceeding an activity threshold for at least the sleep latency duration; and classify the patient as being awake in response to at least one of (iii) the posture of the patient being upright for at least an awake latency duration, or (iv) the activity level of the patient exceeding the activity threshold for at least the awake latency duration.

A smart emotional interaction method of a smart table lamp, a smart table lamp, a product and a medium. The method comprises: after selecting a corresponding fatigue threshold according to an instruction, acquiring eye, head and shoulder characteristics of a user; when the head change rate exceeds the threshold, it is judged whether the ratio of the shoulder and the head change rate is within a preset range, if the condition is met, a dynamic weighting factor is generated combined with the shoulder activity level, the dynamic environmental fatigue is calculated together with the eye and head fatigue, and a voice prompt is played when the threshold is exceeded; if the condition is not met or the head change rate does not exceed the threshold, the eye gaze duration and the head fixed posture duration are analyzed to calculate the weight factor and obtain the static environmental fatigue; when the static environmental fatigue exceeds the threshold, the light brightness is adjusted. The technical scheme provided by the application improves the accuracy of the smart table lamp in managing the fatigue state of the user in a complex scene.

This invention discloses a method, apparatus, electronic device, medium, and product for recommending friends. The method includes: determining the activity level of each friend in a target user's friend circle; wherein the friend circle includes first-degree friends and second-degree friends, first-degree friends being friends of the target user, and second-degree friends being friends of first-degree friends; for each second-degree friend, determining the mutual friends between the second-degree friend and the target user, and calculating a recommendation value for the second-degree friend based on the activity level of the second-degree friend and the mutual friends; determining target second-degree friends based on the recommendation values ​​of each second-degree friend and recommending them to the target user, and informing the target user of the mutual friends between the target second-degree friend and the target user; by considering the activity level of mutual friends when recommending second-degree friends and informing the target user of the mutual friends, the sense of connection between the recommended friend and the target user can be increased, thereby encouraging the target user to add the recommended friend as a friend.

An embodiment includes a WTRU configured to receive configuration information indicating a trigger condition for measurements to be performed while operating in a first activity level, receive an indication to transition from operating in a second activity level to operating in the first activity level, perform measurements, while operating in the first activity level, responsive to a predicted fulfillment of the trigger condition, and transmit a report based on the measurements responsive to transitioning to the second activity level. For example, a WTRU can be configured to perform UL / DL traffic prediction and early measurements while in an IDLE / INACTIVE state, and to transmit a report based on the measurements responsive to transitioning to a CONNECTED state. The report may include measurements performed and / or indicate whether a CA / DC configuration would allow the WTRU to fulfill UL / DL traffic demands. The WTRU also may refrain from performing the measurements and / or including the measurement report.

This invention provides an activity supplementation system that can effectively encourage activities to compensate for the lack of physical activity. [Solution] The system comprises a wearable terminal 10 that detects the activity level of a person residing in building 2, a power data detection unit 30 capable of acquiring operating information of household appliances 20 used for household chores within building 2, and a control unit 50 that, if the activity level of the person acquired by the wearable terminal 10 is insufficient to meet the target activity level, can compensate for at least a portion of the insufficient activity level based on the operating information acquired by the power data detection unit 30 to encourage household chores.

A notification apparatus includes: a storage unit that stores first information in which a first range of activity levels in a case where a worker is in one state is associated with a second range of heart rates in a case where the worker is in the one state; an acquisition unit that acquires the activity level per unit time of the worker during work and heart rate per unit time of the worker during the work; and a notification control unit that notifies second information related to the one state when the acquired activity level is within the first range and the acquired heart rate is within the second range.

Apparatus and systems for optimizing the production and consumption of nitric oxide by a subject, while facilitating efficient breathing to sustain the subject's regular activity levels, are provided. The apparatus may include a first portion configured for airtight deployment over a subject's nose, or within a subject's nostrils, and a second portion configured for airtight deployment over the subject's mouth. The first portion may include a valve configured to, during operation, pass air from an ambient environment therethrough and into the first portion, and prevent air within the first portion from being passed therethrough to exit the first portion. The second portion may include a valve configured to, during operation, prevent air from being passed therethrough to enter into the second portion, and pass air from within the second portion therethrough and out into the ambient environment. The first and second portions are hermetically separate from each other.

A prosthetic foot can allow a user to engage in different activity levels, for example, walking and running using the same prosthetic foot. The prosthetic foot can have an elongate sole member, a first upper member, and a second pre-compressed upper member such that a distal end of the second upper member is biased toward the first upper member. A spacer between the distal ends of the first and second upper members can facilitate sliding of the distal end of the second upper member during ambulation to vary the stiffness of the foot. The spacer can also improve the lever arm length of the second upper member by maintaining a gap between the first and second upper members throughout ambulation.

A smartwatch for a child and a smartwatch communication system for facilitating communication between a parent and a child includes photoplethysmography (PPG) and electrodermal activity (EDA) sensors to measure physiological data, and a gyroscopic accelerometer to detect movement. A microprocessor analyzes this data to determine a mood and an activity level of the child. An avatar program and a video game database provide interactive, mood-modifying, and activity-promoting experiences. The smartwatch communication system includes the smartwatch and a parent's smartphone, connected via a near-field communications unit. The method involves measuring physiological and movement data, analyzing it using a measurement database, generating mood and activity messages, and transmitting this information to the parent's smartphone. This integrated approach provides comprehensive monitoring of the well-being of child, facilitates parent-child communication, and actively supports the emotional and physical health of child through engaging and age-appropriate interactions.

To solve the problem in which it is necessary to acquire information on all facilities used for manufacturing because activity amounts of the facilities are used to calculate a GREEN HOUSE GAS (GHG) emission, however, not all facilities necessarily include an I / F, and necessary information may not be acquired.SOLUTION: An activity amount calculation apparatus includes a processor, a storage unit, and an interface that acquires information from a facility used for an operation of a process in a manufacturing line. The storage unit manages a standard operation time related to an operation time in the process. The processor acquires, using the interface from a facility that is an observation target in the manufacturing line, an actual value of a work time of the facility, and calculates, using the acquired actual value and the standard operation time of a process performed by a facility that is not the observation target in the manufacturing line, an activity amount of each facility in the manufacturing line.SELECTED DRAWING: Figure 1

1. Name of the product in this design: Pet Health Monitor. 2. Purpose of this design: To be worn with a collar to monitor the health and activity level of pets. 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.

Activity level and fall detection using accelerometer data is described. In one or more implementations, measurements of a user generated by a wearable monitoring device during an observation period are obtained, the measurements including accelerometer data. Physical steps taken by the user are detected based on peaks in the accelerometer data above a threshold, and a step count is generated based on the detected physical steps within predetermined time epochs. Activity level classifications of the user for the predetermined time epochs are generated based on the step count. The step count and the activity level classification for the predetermined time epochs may then be output, such as a notification or in a user interface. Fall predictions may be generated and output by processing the accelerometer data using machine learning models trained to correlate patterns in accelerometer data to fall events.

Activity monitoring may include tracking of a route or location where the activity was performed. In some examples, the route may be displayed against a heat map identifying areas of higher activity or popularity. Alternatively or additionally, routes may be automatically generated by a system based on various specifications such as an amount of time, a preferred location (a start and an end), a level of popularity or activity level, and the like and / or combinations thereof. A user's workout information may further be stored in association with a particular location or route.

A measurement apparatus includes a first biometric sensor configured to measure, as a biological signal, at least one of a brain wave signal and a pulse wave signal of a living body, a second biometric sensor configured to measure a respiratory rate of the living body per unit time, a differential operation unit configured to calculate a differential value of a periodic feature of the biological signal, an activity level analysis unit configured to analyze an activity level of an autonomic nerve of the living body based on the differential value, and an activity level correction unit configured to correct the activity level of the autonomic nerve by eliminating a component caused by respiration of the living body and included in the activity level of the autonomic nerve based on the respiratory rate of the living body per unit time.

This invention discloses a method, system, electronic device, and medium for early warning of abnormal fish activity, relating to the field of intelligent fish farming technology. The method includes: inputting a target video into a multi-target fish tracking model to obtain the basic parameters of each fish in each frame of the target video; using the tracking displacement of each fish to correct the offset of the detection box of each fish, obtaining the bounding box of each fish; processing the center point coordinates of the bounding box of each fish using a data-for-association method to obtain a final trajectory set; obtaining the fish activity level based on the fish's mass and the center point coordinates of each bounding box in the final trajectory; summing the activity levels of each fish in the target video to obtain the activity level of the fish school in the target video; if the activity level of the fish school in the target video is not within a set activity level range, then the activity level of the fish school in the target video at the current moment is judged to be abnormal. This invention can replace manual observation and early warning of fish activity in real time.