Abstract:
A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.
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 muscle training system configured to train at least one target muscle of a human body includes a muscle training equipment and a controller. The muscle training equipment includes at least one resistance adjustment assembly and at least one vibration detector. The at least one resistance adjustment assembly is configured to provide a resistance force as a training load. The at least one vibration detector is configured to be disposed on the at least one target muscle and produces at least one muscle vibration signal based on an activity of the at least one target muscle training under the resistance force. The controller is configured to control the at least one resistance adjustment assembly to adjust the resistance force according to the at least one muscle vibration signal.
Abstract:
A body motion analysis system is provided. The body motion analysis system includes a pressure sensing plate, a data transmission device, and a data processing device. Two of the user's body parts exert pressure on the pressure sensing plate and the pressure sensing plate senses the pressure to output pressure distribution data. The pressure sensing plate transmits pressure-distribution stream data to the data processing device according to the pressure distribution data. The data processing device processes the pressure-distribution stream data to obtain sports performance of the user.
Abstract:
A personalized parameter learning method, a sleep-aid device and a non-transitory computer readable medium are provided. The personalized parameter learning method for a sleep-aid device is provided. The personalized parameter learning method includes the following steps. A process device computes a measured sleep quality of a user after operating a sleep-aid device with an inputted parameter setting at least according to a subjective feedback from the user. The processing device generates a plurality of candidate parameter settings according to the measured sleep quality. The processing device generates a plurality of predicting sleep qualities corresponding the candidate parameter settings. The processing device obtains a recommending parameter setting by selecting one of the candidate parameter settings according to the predicting sleep qualities.
Abstract:
A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.
Abstract:
A health check path evaluation indicator building system and a method thereof, a device therewith and a computer program product thereof are provided. The health check evaluation indicator building method includes the following steps. A visualization process is performed to produce source graphic data on a plurality of features and attributes according to a time series, wherein each of the source graphic data includes a group number. Then, a similarity comparison is performed between the source graphic data and a plurality of target graphic data with the same group number to produce a plurality of similarity scores, where the minimum thereof corresponds to role model graphic data. Based on the role model graphic data, one of a best proposal and an alternative proposal is selected and a result thereof is fed back after execution. The disclosure also includes the health check evaluation indicator building system to embody the above method.