Abstract:
A target monitoring method, a camera, a controller, and a target monitoring system where the system includes a first camera and a second camera. An overlapping area exists between fields of view of the first camera and the second camera. The method includes obtaining, location information of a to-be-tracked target in a first monitoring picture when the first camera is used as a current primary monitoring camera, determining, based on the location information of the target in the first monitoring picture, whether a location of the target in the first monitoring picture is in the overlapping area, where the overlapping area is an overlapping range between the fields of view of the first camera and the second camera, and switching, the current primary monitoring camera to the second camera when the location of the target in the first monitoring picture is in the overlapping area.
Abstract:
When a location of a wearable system changes, the wearable system can ensure that a gesture working region always remains in a field of view of the wearable system. Therefore, the wearable system can still collect and recognize a gesture image and implement gesture control. The solution provided in this application is as follows: The wearable system creates a gesture working region and a region of interest, where the region of interest is within a shooting area of a first camera, and the first camera is included in a wearable device; obtains a location parameter of the wearable system; adjusts the region of interest according to the location parameter, so that the region of interest covers the gesture working region; collects a gesture image within the gesture working region; recognizes the gesture image to obtain a gesture instruction; and performs a corresponding operation according to the gesture instruction.
Abstract:
A method for predicting a position of a mobile user, and equipment are provided. The method includes determining an occurrence probability of a current behavioral activity of the mobile user; determining an occurrence probability of a target behavioral activity of the mobile user according to the occurrence probability of the current behavioral activity of the mobile user, a historical activity migration rule of the mobile user, and a public activity migration rule; determining the target behavioral activity of the mobile user according to the occurrence probability of the target behavioral activity of the mobile user; and predicting a target geographical position of the mobile user according to the determined target behavioral activity of the mobile user. The method improves usability of the target geographical position of the mobile user.
Abstract:
A method for identifying a motion status of a mobile terminal, and a mobile terminal are provided. The method includes collecting information about multiple wireless local area network (WLAN) access points during each time of scanning, where the information includes a basic service set identifier and signal strength; calculating a belief value and a list orthogonality value according to the information about the multiple WLAN access points; and presetting a belief decision threshold and a list orthogonality decision threshold, and comparing the decision thresholds with calculated values to acquire the motion status of the mobile terminal. Therefore, the motion status of the mobile terminal may be acquired without making a change in any hardware on an existing mobile terminal. In addition, the present disclosure is applicable to an area covered by multiple wireless local area network access points.
Abstract:
When a location of a wearable system changes, the wearable system can ensure that a gesture working region always remains in a field of view of the wearable system. Therefore, the wearable system can still collect and recognize a gesture image and implement gesture control. The solution provided in this application is as follows: The wearable system creates a gesture working region and a region of interest, where the region of interest is within a shooting area of a first camera, and the first camera is included in a wearable device; obtains a location parameter of the wearable system; adjusts the region of interest according to the location parameter, so that the region of interest covers the gesture working region; collects a gesture image within the gesture working region; recognizes the gesture image to obtain a gesture instruction; and performs a corresponding operation according to the gesture instruction.
Abstract:
A data protection circuit of a chip, a chip, and an electronic device, where the data protection circuit performs bit width expansion and scrambling processing on a first alarm signal using an operation circuit to obtain a second alarm signal, and outputs the second alarm signal to a processing circuit. The processing circuit performs descrambling processing after receiving the second alarm signal to obtain a descrambling result. When the second alarm signal is attacked, the descrambling fails, and the descrambling result is an active level. The processing circuit outputs the descrambling result to a reset request circuit, and the reset request circuit generates a reset request signal according to the descrambling result.
Abstract:
A method for identifying a motion status of a mobile terminal, and a mobile terminal are provided. The method includes collecting information about multiple wireless local area network (WLAN) access points during each time of scanning, where the information includes a basic service set identifier and signal strength; calculating a belief value and a list orthogonality value according to the information about the multiple WLAN access points; and presetting a belief decision threshold and a list orthogonality decision threshold, and comparing the decision thresholds with calculated values to acquire the motion status of the mobile terminal. Therefore, the motion status of the mobile terminal may be acquired without making a change in any hardware on an existing mobile terminal. In addition, the present disclosure is applicable to an area covered by multiple wireless local area network access points.
Abstract:
A terminal device includes a central processing unit, a data memory, a first selector, and a digital-to-analog conversion module. The data memory includes a first data storage apparatus and a second data storage apparatus. A first output end of the central processing unit is connected to an input end of the first selector. A second output end of the central processing unit is connected to a gating end of the first selector. An output end of the second data storage apparatus is connected to an input end of the digital-to-analog conversion module. The digital-to-analog conversion module is configured to send repeatedly a periodic signal to a receiving device within a sending time.
Abstract:
A method and an apparatus for controlling a terminal device by using a non-touch gesture are disclosed. The terminal device includes one or more point light sensors. The terminal device receives a plurality of light intensity signals outputted by the plurality of light sensors when the plurality of point light sensors sense visible light intensity variations generated by the non-touch user gesture. The terminal device determines a change pattern of the light intensity signals and identifies the non-touch user gesture, including identifying the movement direction of the non-touch user gesture, based on the change pattern. Then, the terminal device executes a control operation corresponding to the identified non-touch user gesture. The embodiments of the present invention can control the terminal device by using a non-touch gesture simply and efficiently through software and can enhance user experience.