Abstract:
A system for labeling motion data includes a memory and a processor. The memory stores instructions. The processor accesses and executes the instructions to perform the following: generate a motion trajectory passage, which includes an initial posture; access unlabeled motion data; determine whether the unlabeled motion data includes the initial posture; in response to the unlabeled motion data including the initial posture, determine whether the unlabeled motion data matches the motion trajectory passage; and in response to the unlabeled motion data matching the motion trajectory passage, attach a label to the unlabeled motion data.
Abstract:
A device, method, and non-transitory computer readable storage medium for labelling motion data are provided. The device receives several motion signals, wherein each motion signal includes a motion time message and a motion data group. A motion script includes a plurality of preset motion messages, wherein each preset motion message includes a preset time message and a preset motion. The device performs the following steps for each preset time message: determining a first subset of the motion signals by comparing the motion time messages with the preset time message, calculating a similarity between the motion data group of each motion signal in the first subset and a reference model, determining a second subset of the first subset based on the first similarities, and labelling the motion data group of each motion signal included in the second subset as corresponding to the preset motion corresponding to the preset time message.
Abstract:
An intelligent device is configured to provide relevant information related to an image. The intelligent device includes a sensor module, an activation module, an image capture module, an image recognition module, and an information providing module. The sensor module includes a magnetometer and a gyroscope. The magnetometer detects a direction of a gesture relative to the intelligent device. The gyroscope detects at least one angular velocity of the gesture. The activation module determines the gesture according to the direction and the angular velocities, and generates an activating signal according to the gesture determined. The image capture module captures the image according to the activation signal. The image recognition module identifies the image to retrieve relevant information related to the image. The information providing module provides the relevant information.
Abstract:
A computer system is provided. The computer system includes multiple computing devices and a processing unit. The processing unit comprises a device monitoring module, a task classifying module and a task scheduling module. The processing unit is coupled to the computing devices. The device monitoring module is configured to monitor the computing devices so as to obtain loading data. The task classifying module is configured to classify related tasks of multiple tasks as a first group, to classify independent tasks of multiple tasks as a second group and to find a critical path of the related tasks in the first group. The task scheduling module is configured to set a first processing schedule of the first group according to the critical path and the loading data and to set a second processing schedule of the second group according to the first processing schedule.