Abstract: A team sports vision training system based on extended reality, voice interaction and action recognition is configured to train vision and an action of a user. A head-mounted display device includes a task scenario player and a speech sensing module. An action capture device generates an action message. A computing server stores a scenario setting parameter group and includes a task scenario generating module, a speech recognition module and an action recognition module. The task scenario generating module generates a virtual task scenario image and a task parameter group according to the scenario setting parameter group. The speech recognition module generates a speech recognition result and a vision training result. Then action recognition module generates an action recognition result and a sport training result. The vision training result and the sport training result are configured to judge whether the user meets a training requirement.

Abstract: An additive manufacturing (AM) method includes using an AM tool to fabricate a plurality of workpiece products; measuring qualities of the first workpiece products respectively; performing a temperature measurement on each of the melt pools on the powder bed during a fabrication of each of the workpiece products; performing photography on each of the melt pools on the powder bed during the fabrication of each of the workpiece products; extracting a length and a width of each of the melt pools; performing a melt-pool feature processing operation; building a conjecture model by using a plurality of sets of first process data and the actual metrology values of the first workpiece products in accordance with a prediction algorithm; and predicting a virtual metrology value of the second workpiece product by using the conjecture model based on a set of second process data.

Abstract: An additive manufacturing (AM) method includes using an AM tool to fabricate a plurality of workpiece products; measuring qualities of the first workpiece products respectively; performing a temperature measurement on each of the melt pools on the powder bed; performing photography on each of the melt pools on the powder bed; extracting a length and a width of each of the melt pools; performing a melt-pool feature processing operation; first converting each of the workspace images to a gray level co-occurrence matrix (GLCM); building a conjecture model by using a plurality of sets of first process data and the actual metrology values of the first workpiece products in accordance with a prediction algorithm; and predicting a virtual metrology value of the second workpiece product by using the conjecture model based on a set of second process data.

Abstract: An additive manufacturing (AM) method includes using an AM tool to fabricate a plurality of workpiece products; measuring qualities of the first workpiece products respectively; performing a temperature measurement on each of the melt pools on the powder bed; performing photography on each of the melt pools on the powder bed; extracting a length and a width of each of the melt pools; performing a melt-pool feature processing operation; first converting each of the workspace images to a gray level co-occurrence matrix (GLCM); building a conjecture model by using a plurality of sets of first process data and the actual metrology values of the first workpiece products in accordance with a prediction algorithm; and predicting a virtual metrology value of the second workpiece product by using the conjecture model based on a set of second process data.

Abstract: An additive manufacturing (AM) method includes using an AM tool to fabricate a plurality of workpiece products; measuring qualities of the first workpiece products respectively; performing a temperature measurement on each of the melt pools on the powder bed during a fabrication of each of the workpiece products; performing photography on each of the melt pools on the powder bed during the fabrication of each of the workpiece products; extracting a length and a width of each of the melt pools; performing a melt-pool feature processing operation; building a conjecture model by using a plurality of sets of first process data and the actual metrology values of the first workpiece products in accordance with a prediction algorithm; and predicting a virtual metrology value of the second workpiece product by using the conjecture model based on a set of second process data.

Abstract: An additive manufacturing (AM) system, an AM method, and an AM feature extraction method are provided. The AM system includes an AM tool, a product metrology system, an in-situ metrology system, a virtual metrology (VM) system, a compensator, a track planner, a controller, a simulator and an augmented reality (AR) device. The simulator is used to find feasible parameter ranges, while the AR device is used to support operations and maintenance of the AM tool. The product metrology system, the in-situ metrology system and the VM system are integrated to estimate the variation of material on a powder bed of the AM tool. The compensator is used for compensating the process variation by adjusting process parameters. The product metrology system is used to measure the quality of products. The in-situ metrology system is used to collect features of melt pools on the powder bed.

Abstract: An additive manufacturing (AM) system, an AM method, and an AM feature extraction method are provided. The AM system includes an AM tool, a product metrology system, an in-situ metrology system, a virtual metrology (VM) system, a compensator, a track planner, a controller, a simulator and an augmented reality (AR) device. The simulator is used to find feasible parameter ranges, while the AR device is used to support operations and maintenance of the AM tool. The product metrology system, the in-situ metrology system and the VM system are integrated to estimate the variation of material on a powder bed of the AM tool. The compensator is used for compensating the process variation by adjusting process parameters. The product metrology system is used to measure the quality of products. The in-situ metrology system is used to collect features of melt pools on the powder bed.

Abstract: An additive manufacturing (AM) system, an AM method, and an AM feature extraction method are provided. The AM system includes an AM tool, a product metrology system, an in-situ metrology system, a virtual metrology (VM) system, a compensator, a track planner, a controller, a simulator and an augmented reality (AR) device. The simulator is used to find feasible parameter ranges, while the AR device is used to support operations and maintenance of the AM tool. The product metrology system, the in-situ metrology system and the VM system are integrated to estimate the variation of material on a powder bed of the AM tool. The compensator is used for compensating the process variation by adjusting process parameters. The product metrology system is used to measure the quality of products. The in-situ metrology system is used to collect features of melt pools on the powder bed.

Abstract: An additive manufacturing (AM) system, an AM method, and an AM feature extraction method are provided. The AM system includes an AM tool, a product metrology system, an in-situ metrology system, a virtual metrology (VM) system, a compensator, a track planner, a controller, a simulator and an augmented reality (AR) device. The simulator is used to find feasible parameter ranges, while the AR device is used to support operations and maintenance of the AM tool. The product metrology system, the in-situ metrology system and the VM system are integrated to estimate the variation of material on a powder bed of the AM tool. The compensator is used for compensating the process variation by adjusting process parameters. The product metrology system is used to measure the quality of products. The in-situ metrology system is used to collect features of melt pools on the powder bed.

Abstract: A low-cost and high-compatibility optical pickup including a light source, one set of optical sensors, and a controller. The light source illuminates a string assembled on an instrument. The set of optical sensors corresponding to the light source is provided to sense the shading of the string. The controller supplies the sensed data from the set of optical sensors to a system host for recognition of the melody played on the string. Considering the other strings assembled on the instrument, the optical pickup includes other sets of optical sensors to sense the shading of the other strings which are also illuminated by the light source. The controller also supplies the sensed data of the other sets of optical sensors to the system host for recognition of the melody played on the other strings.

Abstract: A virtual reality (VR) training system for a team sport, which implements tactical training in a VR environment. A server generates VR content based on target trajectories of a trainee in a tactic. A VR device (e.g., including a VR head-mounted display) receives the VR content to display the virtual environment and instructs the trainee to practice the target trajectories. The VR device further provides a motion sensor device that detects and returns the head pose, actions, and positions of the trainee to the server. The server updates the VR content according to the head pose, actions, and positions of the trainee. The target trajectories are further marked with timing and head orientation to instruct the trainee when to execute each trajectory and where to look for catching ball opportunity.

Abstract: At a method for extracting content relating to a commodity which is executable on a server, the server including at least one processor and a storage device. The method includes acquiring a plurality of web articles from Internet; web articles associated with a commodity from the acquired web articles are recognized, a name for the commodity from the recognized web articles is extracted; and a representative picture for the commodity from all pictures in the recognized web articles is selected, the extracted content being extractable and returnable to a user upon input of a keyword.

Abstract: A framework for creating a virtual model of a three-dimensional space includes a server, a terminal device in communication with the server, at least one object supplier in communication with the server, and at least one social networking site in communication with the server. The server generates a three-dimensional space in response to receiving login information from the terminal device, generates at least one room located in a predefined coordinate space of the three-dimensional space, generates at least one object located in a predefined coordinate space of the at least one room, and creates the virtual model including the three-dimensional space, the at least one room in the three-dimensional space, and the at least one object in the at least one room, and displays the virtual model on the terminal device. The at least one object is purchasable from the at least one object supplier.

Abstract: At a method for extracting content relating to a commodity which is executable on a server, the server including at least one processor and a storage device. The method includes acquiring a plurality of web articles from Internet; web articles associated with a commodity from the acquired web articles are recognized, a name for the commodity from the recognized web articles is extracted; and a representative picture for the commodity from all pictures in the recognized web articles is selected, the extracted content being extractable and returnable to a user upon input of a keyword.

Abstract: A framework for creating a virtual model of a three-dimensional space includes a server, a terminal device in communication with the server, at least one object supplier in communication with the server, and at least one social networking site in communication with the server. The server generates a three-dimensional space in response to receiving login information from the terminal device, generates at least one room located in a predefined coordinate space of the three-dimensional space, generates at least one object located in a predefined coordinate space of the at least one room, and creates the virtual model including the three-dimensional space, the at least one room in the three-dimensional space, and the at least one object in the at least one room, and displays the virtual model on the terminal device. The at least one object is purchasable from the at least one object supplier.