Abstract: An embodiment of the invention provides a sleep quality assessment method, a device, and a computer-readable storage medium. The method includes the following. Multiple sleep indicators associated with a sleep process of a subject are obtained, and a first sleep assessment result of the subject is determined based on the multiple sleep indicators. A sleep signal corresponding to the sleep process is obtained, and a second sleep assessment result of the subject is determined based on the sleep signal. A sleep quality of the sleep process is determined based on the first sleep assessment result and the second sleep assessment result.

Abstract: The embodiments of the disclosure provide a method for evaluating a health condition indicator of a subject, a host, and a computer readable storage medium. The method includes: obtaining a reference heart rate of the subject and determining a heart rate indicator of the subject according to the reference heart rate; determining a fitness indicator of the subject based on physiological information of the subject; determining an age indicator of the subject based on an age of the subject; and determining the health condition indicator of the subject at least based on the heart rate indicator, the fitness indicator, and the age indicator.

Abstract: The disclosure provides a movement determination method, a movement determination device, and a computer-readable storage medium. The method includes the following. In response to determining that a user has presented an initial movement corresponding to a to-be-detected movement, an anchor joint point among multiple joint points of the user is decided based on the to-be-detected movement. A movable range of each of the anchor joint points is decided. In response to determining that each of the anchor joint points leaves the corresponding movable range, it is determined that the user has stopped performing the to-be-detected movement.

Abstract: The disclosure provides a wearing detection method, a wearable device, and a computer readable storage medium. The method includes: in response to determining that the wearable device is in a static state, emitting a plurality of first photoplethysmography (PPG) signals, and detecting a plurality of second PPG signals corresponding to the first PPG signals; obtaining a zero-crossing rate corresponding to the second PPG signals; and in response to determining that the zero-crossing rate of the second PPG signals is higher than a reference threshold, determining that the wearable device is in an unworn state.

Abstract: An exercise monitoring method, an exercise monitoring device, and a computer-readable storage medium are provided. The method includes the following: obtaining an exercise course input by a user; detecting a reference respiratory pattern of the user performing the exercise course through a wearable device within a reference time interval; detecting a first respiratory pattern of the user performing the exercise course through the wearable device within a first time interval; and providing a first exercise adjustment suggestion based on a first comparison result between the first respiratory pattern and the reference respiratory pattern.

Abstract: Embodiments of the disclosure provide a heart rate estimation method and device and a computer-readable storage medium. The method includes: obtaining a reference photoplethysmography (PPG) spectrum corresponding to a t-th time point; obtaining a previous heart rate and a motion energy parameter corresponding to the t-th time point, and accordingly determining a predicted heart rate corresponding to the t-th time point; determining a reference mask based on the predicted heart rate and the motion energy parameter of the t-th time point; determining a specific PPG spectrum based on the reference mask and the reference PPG spectrum; and estimating a heart rate corresponding to the t-th time point based on the specific PPG spectrum.

Abstract: A method and a device for predicting sports performance, and a computer readable storage medium are provided. The method includes: collecting motion data of a user in a process of the user performing a specific action through a wearable device; and in response to determining that the motion data conforms to action characteristics of the specific action, predicting at least one sports performance of the user performing at least one other action based on the motion data.

Abstract: The present invention discloses a method for determining a maximum value of a heart rate data of a user performing a physical activity. Acquire first heart rate data in a first duration of the physical activity performed by the user. Acquire motion data in the first duration of the physical activity performed by the user. Calculate second heart rate data based on the motion data in the first duration of the physical activity performed by the user by a mathematical model and estimate the maximum value of the heart rate data of the user based on a comparison between the first first heart rate data and the second heart rate data.

Abstract: The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.

Abstract: The disclosure provides a movement determination method, a movement determination device, and a computer-readable storage medium. The method includes the following. In response to determining that a user has presented an initial movement corresponding to a to-be-detected movement, an anchor joint point among multiple joint points of the user is decided based on the to-be-detected movement. A movable range of each of the anchor joint points is decided. In response to determining that each of the anchor joint points leaves the corresponding movable range, it is determined that the user has stopped performing the to-be-detected movement.

Abstract: The embodiments of the disclosure provide a method for adjusting a noise cancellation mode, an electronic device, and a computer readable storage medium. The method includes: estimating a noise perception indicator corresponding to an environmental noise; and adjusting a noise cancellation mode of an wearable audio device according to the noise perception indicator.

Abstract: Embodiments of the disclosure provide a method, a device, and a computer-readable storage medium for arranging exercise intensity. The method includes: obtaining a user’s personal information and an exercise session, where the exercise session corresponds to an exercise fatigue; and providing a recommended exercise intensity for the exercise session based on at least the personal information and the exercise fatigue.

Abstract: The invention provides a human body detection method, a human body detection device, and a computer readable storage medium. The method includes the following. A plurality of image frames related to a human body is obtained. A plurality of joint coordinates are detected in each image frame, and a plurality of specific image frames are accordingly found out. An image region height corresponding to the human body in each specific image frame is obtained. A first joint coordinate of a first joint in each specific image frame is obtained. A second joint coordinate of a second joint in each specific image frame is obtained. An actual length between the first joint and the second joint is estimated based on a height of the human body and the image region height, the first joint coordinate, and the second joint coordinate in each specific image frame.

Abstract: The disclosure provides a wearing detection method, a wearable device, and a computer readable storage medium. The method includes: in response to determining that the wearable device is in a static state, emitting a plurality of first photoplethysmography (PPG) signals, and detecting a plurality of second PPG signals corresponding to the first PPG signals; obtaining a zero-crossing rate corresponding to the second PPG signals; and in response to determining that the zero-crossing rate of the second PPG signals is higher than a reference threshold, determining that the wearable device is in an unworn state.

Abstract: The present invention discloses a method for providing an exercise guiding. Determine at least one mathematical correspondence to divide a coordinate plane into a plurality of regions for defining a plurality of two-dimensional exercise training zones, wherein the coordinate plane has a first axis based on a first parameter of a fitness performance level and a second axis based on a second parameter of an exercise intensity. Transform the plurality of two-dimensional exercise training zones into a plurality of one-dimensional exercise training zones of a current value of the fitness performance level for a user having the current value of the fitness performance level. Provide the exercise guiding for the user according to the plurality of one-dimensional exercise training zones.

Abstract: The present disclosure provides an exercise monitoring device. The exercise monitoring device comprises a sensor module, a processing module, a storage module, and a user interface. The present disclosure also provides a method for estimating maximal oxygen consumption and/or future total exercise time by obtaining a person's physiological data and exercise data. The present disclosure further provides a method for calibrating the future total exercise time by environmental conditions to form an environmental specific total exercise time.

Abstract: The present disclosure provides an exercise assistive device. The present disclosure also provides a method for estimating stamina level and a method for adjusting stamina category. The present disclosure further provides the several types and applications of the exercise assistive device.