Abstract:
An electronic device, a system and a method for diet management based on image analysis are provided. The system includes a computer and a database. The computer comprises a processor for performing the following operations: capturing at least one diet image via an image capture device; pre-processing the at least one diet image so as to obtain at least one diet region from the at least one diet image and obtain at least one detailed food segment from the diet region; extracting at least one diet image feature from the at least one detailed food segment; determining a diet type of the at least one detailed food segment based on the at least one diet image feature; and providing a personal diet characteristic analysis based on the diet type and an area of the at least one detailed food segment.
Abstract:
An electronic device, a system and a method for diet management based on image analysis are provided. The system includes a computer and a database. The computer comprises a processor for performing the following operations: capturing at least one diet image via an image capture device; pre-processing the at least one diet image so as to obtain at least one diet region from the at least one diet image and obtain at least one detailed food segment from the diet region; extracting at least one diet image feature from the at least one detailed food segment; determining a diet type of the at least one detailed food segment based on the at least one diet image feature; and providing a personal diet characteristic analysis based on the diet type and an area of the at least one detailed food segment.
Abstract:
A system and a method for diet management based on image analysis are provided. The system includes a database and a comparison device. The comparison device is coupled to the database. The comparison device performs similarity comparison in the database based on a supervector related to at least one diet image so as to find out at least one similar population and provides information related to the at least one similar population.
Abstract:
A system and a method for diet management based on image analysis are provided. The system includes a database and a comparison device. The comparison device is coupled to the database. The comparison device performs similarity comparison in the database based on a supervector related to at least one diet image so as to find out at least one similar population and provides information related to the at least one similar population.
Abstract:
A computerized method and device for analyzing a physiological signal are provided. The computerized method for analyzing the physiological signal includes the following steps. A pulse waveform is measured by a measuring unit, wherein the pulse waveform represents a blood volume of a blood vessel over time. A plurality of rising segments of the plus waveform is analyzed by a processing unit. The maximum change rate point at each rising segment is analyzed by the processing unit. A pulse interval time sequence is obtained according to the maximum change rate points.
Abstract:
A system, a method and a recording medium for calculating a physiological index are provided. The method includes: dividing a physiological data sequence into a plurality of windows; analyzing a data segment in each window to obtain metadata that represents data characteristics of the data segment; updating the metadata including the data characteristics of all data segments in the windows up to a previous window by using the metadata corresponding to one of the windows to obtain the metadata including the data characteristics of all data segments in the windows up to a current window; and finally, calculating the physiological index by using the updated metadata.
Abstract:
The present application discloses a method of detecting abnormal movement of a physical object. A periodic signal is representative of the movement of the object. According to some embodiments, a raw matrix having a first array and a second array is generated, and then an integrated matrix is generated by performing a dimension reduction on the raw matrix. A likelihood of a predetermined type of abnormal movement of the physical object is determined by comparing the integrated matrix with a predetermined benchmark pattern. In some embodiments, the generation of the raw matrix includes performing a first analysis on a predetermined portion of the periodic signal to generate the first array and performing a second analysis different from the first analysis on the predetermined portion of the periodic signal to generate the second array.
Abstract:
An arterial pulse analysis method and a related system are provided. The arterial pulse analysis method segments a continuous pulse signal into a plurality of single pulses, processes at least one of the single pulses to obtain non-time series data corresponding to the at least one of the single pulses, and processes the non-time series data of the at least one of the single pulses with a multi-modeling algorithm to obtain at least one feature point of the at least one of the single pulses.
Abstract:
A system, a method and a recording medium for calculating a physiological index are provided. The method includes: dividing a physiological data sequence into a plurality of windows; analyzing a data segment in each window to obtain metadata that represents data characteristics of the data segment; updating the metadata including the data characteristics of all data segments in the windows up to a previous window by using the metadata corresponding to one of the windows to obtain the metadata including the data characteristics of all data segments in the windows up to a current window; and finally, calculating the physiological index by using the updated metadata.