Abstract:
The disclosure provides a method and system for detecting an anaerobic threshold heart rate. After first physiological data, second physiological data and third physiological data are obtained while a user is exercising, an interval of the third physiological data corresponding to an estimated range of first physiological data and a turning point of a curve fitting the third physiological data within the interval are obtained, to determine the anaerobic threshold heart rate of a user.
Abstract:
Management systems and methods for managing physiology data measurement are provided. First, physiology data input is received. Next, a measurement schedule is obtained according to the physiology data input, wherein the measurement schedule includes a measurement frequency and at least one measurement time point corresponding thereto. Thereafter, at the measurement time point, physiology data measurement is performed to obtain a measured value. The measurement frequency and/or the measurement time point of the measurement schedule is dynamically updated based on the measured value and a predefined abnormality determination criterion and subsequent measurements are to be performed with the updated measurement frequency and/or the measurement time point.
Abstract:
A method for controlling an electronic equipment and a wearable device are provided, respectively. The method for controlling the electronic equipment includes the following steps. An inertial signal is detected. A gesture is obtained by dividing the inertial signal or classifying the inertial signal. A controlling command is outputted based on the gesture to control the electronic equipment, such as a desktop device, a portable device or the wearable device.
Abstract:
A gait evaluating system including a processor is provided. The processor identifies whether a gait type of the user belongs to a normal gait, a non-neuropathic gait or a neuropathic gait based on step feature values of a user and walking limb feature values of the user. In response to that the gait type of the user belongs to the non-neuropathic gait, the processor controls the display panel to display a first auxiliary information, a second auxiliary information, and a third auxiliary information. The first auxiliary information indicates a potential sarcopenia of the user. The second auxiliary information indicates a dietary guideline for muscle building and muscle strengthening. The third auxiliary information shows a motion instruction video for regaining or maintaining muscle strength of the user.
Abstract:
The invention provides a gait evaluating system and a gait evaluating method. The gait evaluation system includes a gait evaluating device configured to: obtain, from a pressure detection device, a plurality of pressure values of a user walking on the pressure detection device; obtain a plurality of step feature values of the user based on the pressure values; obtain a plurality of walking limb feature values when the user walks on the pressure detection device based on a sensing data provided by a limb sensing device; and evaluate a gait of the user based on the step feature values and the walking limb feature values.
Abstract:
The disclosure provides a method and system for detecting an anaerobic threshold heart rate. After first physiological data, second physiological data and third physiological data are obtained while a user is exercising, an interval of the third physiological data corresponding to an estimated range of first physiological data and a turning point of a curve fitting the third physiological data within the interval are obtained, to determine the anaerobic threshold heart rate of a user.