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 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 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 parameters according to the predicting sleep qualities.

Abstract: A muscle training equipment configured to train at least one target muscle of human body and including frame, at least one vibration detector, and at least one resistance adjustment assembly. The at least one vibration detector is configured to be disposed on the at least one target muscle so as to produce at least one muscle vibration signal based on the activity of the at least one target muscle. The at least one resistance adjustment assembly includes motor, handle and linkage assembly. The motor is disposed on the frame and has resistance-adjustable shaft. An end of the linkage assembly is fixed to the resistance-adjustable shaft, and another end of the linkage assembly is pivotally connected to the handle. The at least one resistance adjustment assembly is configured to adjust a resistance force applied on the resistance-adjustable shaft 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 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 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 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 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. A health check evaluation indicator building system and a computer readable medium to embody the above method are also disclosed.

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 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.

Abstract: An automatic navigation method and automatic navigation system are provided. The automatic navigation method includes the following steps. A guiding path is provided. A current facing direction which a user faces is obtained by an electronic compass. A turning direction is obtained according to the current facing direction and the guiding path. The turning direction is notified by an electric shock signal. A nearest trace point of the guiding path is obtained by sensing a radio-frequency identification (RFID) tag. The turning direction is updated according to the nearest trace point and the current facing direction.

Abstract: A sport guiding device and a sport guiding method using the same are provided. The sport guiding method includes the following steps. Two of a predetermined sport frequency intensity, a predetermined calorific capacity and a predetermined sport time are provided. A predetermined sport frequency curve is obtained according to two of the predetermined sport frequency intensity, the predetermined calorific capacity and the predetermined sport time. An actual sport frequency curve of a user is detected. If the actual sport frequency curve is deviated from the predetermined sport frequency curve for the predetermined level, then a tempo guiding signal is outputted.

Abstract: A assistance device and a system for purchasing and a method using the same. The method includes the following steps. A portable body is provided for a shopper to carry with. A code of a merchandise is read by the portable body to confirm the type and price of the merchandise. The information of the merchandise purchased by the shopper is recorded in the portable body and listed on a purchase list. The purchase list is transmitted to a trade center, which settles the accounts according to the purchase list and withdraws the portable body after the accounts are settled.

Abstract: An automatic navigation method and automatic navigation system are provided. The automatic navigation method includes the following steps. A guiding path is provided. A current facing direction which a user faces is obtained by an electronic compass. A turning direction is obtained according to the current facing direction and the guiding path. The turning direction is notified by an electric shock signal. A nearest trace point of the guiding path is obtained by sensing a radio-frequency identification (RFID) tag. The turning direction is updated according to the nearest trace point and the current facing direction.

Abstract: A sport guiding device and a sport guiding method using the same are provided. The sport guiding method includes the following steps. Two of a predetermined sport frequency intensity, a predetermined calorific capacity and a predetermined sport time are provided. A predetermined sport frequency curve is obtained according to two of the predetermined sport frequency intensity, the predetermined calorific capacity and the predetermined sport time. An actual sport frequency curve of a user is detected. If the actual sport frequency curve is deviated from the predetermined sport frequency curve for the predetermined level, then a tempo guiding signal is outputted.