Abstract:
An exercise bike and an operation method thereof are provided. In a test mode, a processing unit adjusts a resistance of a pedaling activity to be a plurality of pedaling resistances and obtains a plurality of psychological values respectively corresponding to the pedaling resistances by inquiring the user about a rate of perceived exertion. The processing unit calculates the psychological values to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances and further obtain a correspondence relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a recommended pedaling resistance according to the correspondence relationship. In a sport mode, the recommended pedaling resistance is provided to the user for performing the pedaling activity. The exercise bike determines the recommended pedaling resistance according to the user's physiological characteristics and/or a rate of perceived exertion regarding a physical activity.
Abstract:
A system and a method of multi-user coaching are introduced herein. Motion-sensing cameras are applied to capture images, and a depth image stitching module is applied to perform a depth image stitching process on the captured images to expand the motion-sensing range, so as to establish a virtual environment for multi-user coaching. Each user can be coached individually by a one-to-multiple approach to improve his or her motions. By using the system and the method of multi-user coaching, that is, the system can only calculates on motion similarities of the users, and instructions are fed back to each user. Therefore, the system and the method described herein can be extensively applied to various products, such as a virtual gymnasium, a virtual aerobics classroom, a virtual Budokan, and so on.
Abstract:
An apparatus and method based on image for detecting heart rate activity is provided. The method includes: obtaining a plurality of color images; based on a complexion target condition, defining a target region; performing color composition analysis on the target region to obtain red channel signal, green channel signal and blue channel signal, respectively; performing independent component analysis on separate red, green and blue channel signals to obtain separate first independent component signal, second independent component signal and third independent component signal; performing frequency domain transform, signal energy computation and signal optimization processes on separate first, second and third independent component signals to obtain a filter signal, comparing filter signal based on a pre-set condition to determine if target region belonging to a human, and performing a physiological information analysis.
Abstract:
An exercise bike and an operation method thereof are provided. In a test mode, a processing unit adjusts a resistance of a pedaling activity to be a plurality of pedaling resistances and measures user's physiological characteristics. The processing unit accordingly obtains a plurality of physiological values respectively corresponding to the pedaling resistances. The processing unit calculates the physiological values to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances and further obtain a correspondence relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a recommended pedaling resistance according to the correspondence relationship. In a sport mode, the recommended pedaling resistance is provided to the user for performing the pedaling activity. The exercise bike determines the recommended pedaling resistance according to the user's physiological characteristics and/or a rate of perceived exertion regarding a physical activity.
Abstract:
A method and a system for motion comparison, especially for functions of a multimode motion streaming comparison, are provided. The method includes: obtaining a streaming motion and nodes of a user according to images of the user; providing a streaming motion and nodes of a virtual coach; calculating relation values between coordinates of the nodes of the user and those of the virtual coach according to a streaming node comparison algorithm; obtaining weights via a weighting vector according to parts of body, exercise types and time information; generating a comparison result according to a result of the weights respectively multiplying the relation values; mapping the comparison result to a similarity value. Therefore, a continuous motion compliance of individual trained parts of body of the user is improved, and the correctness for the user to fathom postures is improved effectively.
Abstract:
The present disclosure provides an exercise guiding system including a sensing module, a calculating module, a converting module and an output module. The sensing module keeps recording an R-R interval of a user doing exercise. The computing module receives the R-R interval from the sensing module and performs heart rate variability analysis on the R-R interval to generate a first output. The converting module receives the first output from the calculating module, recognizes a threshold output of the first output according to a threshold and acquires an anaerobic threshold corresponding to the user according to the threshold output, wherein the anaerobic threshold corresponding to the user is a first heart rate corresponding to the threshold output in the R-R interval. The output module receives the anaerobic threshold from the converting module and outputs an exercise guidance of the user according to the anaerobic threshold.
Abstract:
The present disclosure provides an exercise guiding system including a sensing module, a calculating module, a converting module and an output module. The sensing module keeps recording an R-R interval of a user doing exercise. The computing module receives the R-R interval from the sensing module and performs heart rate variability analysis on the R-R interval to generate a first output. The converting module receives the first output from the calculating module, recognizes a threshold output of the first output according to a threshold and acquires an anaerobic threshold corresponding to the user according to the threshold output, wherein the anaerobic threshold corresponding to the user is a first heart rate corresponding to the threshold output in the R-R interval. The output module receives the anaerobic threshold from the converting module and outputs an exercise guidance of the user according to the anaerobic threshold.
Abstract:
A system and a method of multi-user coaching are introduced herein. Motion-sensing cameras are applied to capture images, and a depth image stitching module is applied to perform a depth image stitching process on the captured images to expand the motion-sensing range, so as to establish a virtual environment for multi-user coaching. Each user can be coached individually by a one-to-multiple approach to improve his or her motions. By using the system and the method of multi-user coaching, that is, the system can only calculates on motion similarities of the users, and instructions are fed back to each user. Therefore, the system and the method described herein can be extensively applied to various products, such as a virtual gymnasium, a virtual aerobics classroom, a virtual Budokan, and so on.