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: 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 method of identifying a predetermined type of abnormal movement of a physical object includes generating a raw matrix comprising a first array and a second array, the generation of the raw matrix. The method also includes generating an integrated matrix by performing a dimension reduction on the raw matrix. The method a further includes identifying the predetermined type of abnormal movement of the physical object by comparing the integrated matrix or a set of indexes derived from the integrated matrix with a predetermined benchmark pattern corresponding to the predetermined type of abnormal movement. Generating the raw matrix includes a first analysis on a predetermined portion of a periodic signal representative of movement of the physical object to generate the first array. Generating the raw matrix also includes performing a second analysis different from the first analysis on the predetermined portion of the periodic signal to generate the second array.

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: 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: 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 server for management and sharing of personal digital resources. The server includes a communication unit, a storage unit and a computing unit. Via the communication unit, the computing unit communicates with users on internet for the digital resources of the users. The users and the digital resources of the users are archived in the storage unit. The behavioral preferences of each user regarding his own digital resources and the access rights to the digital resources that each user sets for other users are also recorded in the storage unit. The digital resources include terminal devices and internet services. Based on data contained in the storage unit and via the communication unit, the computing unit manages the digital resources of each user and the digital resources are shared between the users.

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: 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: 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: 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: 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.