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: 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.

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: 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: According to an embodiment, a CPR teaching system comprises an input device having an image input unit, a hardware processor having an image processing unit and a guidance unit, and an output device, wherein the image input unit captures images and generates a plurality of state image signals; the image processing unit processes state image signals to obtain posture signals and combines the posture signals to generate a trajectory signal; the guidance unit analyzes the trajectory signal to obtain dynamic posture parameters and compares successive dynamic posture parameters to obtain an effectiveness signal, and based on the effectiveness signal to generate at least one feedback instruction; and the output device outputs the feedback instruction, thereby, guiding the user correctly perform CPR.

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 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.

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: A rehabilitation coaching method and a rehabilitation coaching system are provided. The method includes setting an exercise rhythm according to personalized exercise rhythm data for the user, and outputting the exercise rhythm to coach the user to do a rehabilitation exercise. The method also includes obtaining a total oxygen consumption rate according to the profile of the user, the time of doing the rehabilitation exercise and the exercise rhythm, and obtaining an exercise intensity according to the resting heart rate of the user and an average heart rate of the user during the rehabilitation exercise. The method further includes obtaining a recommended exercise rhythm according to the exercise intensity and the total oxygen consumption rate, and updating the personalized exercise rhythm data for the user according to the recommended exercise rhythm.

Abstract: An intelligence carrier is disclosed, which is primarily comprised of at least a frame and at least a movable part. The frame is configured with at least a RFID reader and an antenna so that the movable part, being attached by a RFID tag, is able to communicate with the aforesaid RFID reader through the RFID tag, and then, as the RFID reader is able to communicate with a center control, the position of each movable part can be tracked in real time and the amount of the movable parts can be monitored.