34results about How to "Improve interaction accuracy" patented technology

The invention discloses a large screen interaction method based on a handheld device, belonging to the field of human-computer interaction. The method comprises the following steps of: (1) establishing a connection between a server and a client side, and configuring and sending the number of large screen grids to the server by the client side; (2) after a large screen is divided by the server, sending a code of a grid where a cursor is located currently to the client side, and initializing an interactive interface by the client side; (3) moving the client side, and sending an image collected in real time to the server; (4) estimating the displacement of the client side by the server, and mapping the displacement of the client side into motion of the cursor on the large screen; (5) after the client side is moved to ensure that the cursor of the large screen is located to a certain grid region, switching the interactive interface to the current grid region of the large screen by the client side, controlling the interactive interface of the client side and sending the input control information to the server; and (6) carrying out interaction operation by the server in the current grid range of the large screen according to the control information. The large screen interaction method has the characteristics of strong interactivity, low cost, easiness for operation and the like.

The invention provides an interactive voice answering method which comprises the steps of performing voice recognition on a voice input of a user; determining a target service according to a voice recognition result; comparing confidence level of the voice recognition result with a confidence level range which is required for executing the target service; and controlling execution of the target service based on a confidence level comparison result.

The invention discloses a voice interaction method and device. The method includes: determining at least one piece of voice data collected by a plurality of microphones Mic; sending the at least one piece of voice data to a server; receiving each piece of identification sent by the server Information and its corresponding feedback results; perform semantic analysis on each piece of identification information to obtain a semantic recognition score for each piece of identification information; determine the feedback result corresponding to any piece of identification information with the highest semantic recognition score as output data; Output the output data. The embodiments of the present invention improve the accuracy of voice interaction.

The invention provides an interactive voice answering method which comprises the steps of performing voice recognition on a voice input of a user; determining a target service according to a voice recognition result; comparing confidence level of the voice recognition result with a confidence level range which is required for executing the target service; and controlling execution of the target service based on a confidence level comparison result.

The invention relates to a fingertip detection method based on Kinect depth information. The device Kinect is connected to a computer through a cable; it is characterized in that the specific steps are as follows: Step 1, extracting hands and obtaining palm coordinates: Step 2, fingertip positioning: including images Preprocessing and hand contour; joint bilateral filtering for the extracted hand area; use the Douglas-Puke algorithm to approximate the specified point set, find out the polygonal fitting curve of the contour and draw the fitting curve of the hand. Step 3. Use the convexHull() function to retrieve the above steps, analyze and obtain the convex hull points of the hand. Step 4. Calculate the curvature of the obtained convex hull point, and set an appropriate threshold to remove the convex hull point at the wrist according to the difference between the curvature of the wrist and the curvature of the fingertip. The method can complete gesture recognition tasks in real time and accurately, improves the real-time performance and accuracy of Kinect gesture recognition, and improves the natural gesture interaction experience.

The invention discloses a large screen interaction method based on a handheld device, belonging to the field of human-computer interaction. The method comprises the following steps of: (1) establishing a connection between a server and a client side, and configuring and sending the number of large screen grids to the server by the client side; (2) after a large screen is divided by the server, sending a code of a grid where a cursor is located currently to the client side, and initializing an interactive interface by the client side; (3) moving the client side, and sending an image collected in real time to the server; (4) estimating the displacement of the client side by the server, and mapping the displacement of the client side into motion of the cursor on the large screen; (5) after the client side is moved to ensure that the cursor of the large screen is located to a certain grid region, switching the interactive interface to the current grid region of the large screen by the client side, controlling the interactive interface of the client side and sending the input control information to the server; and (6) carrying out interaction operation by the server in the current grid range of the large screen according to the control information. The large screen interaction method has the characteristics of strong interactivity, low cost, easiness for operation and the like.

The present disclosure discloses an active pen for a touch display screen, a touch display screen and a touch control input system, to improve human-machine interaction accuracy of operating the touch display screen with the active pen by a user. The active pen for the touch display screen comprises a transparent elastic pen point, an optical receiver and an excitation signal emitting apparatus, wherein the contact area between the transparent elastic pen point and the touch display screen is increased with an increase in an operating force, the optical receiver is configured to receive detection light which comes from the touch display screen and penetrates through the transparent elastic pen point, meanwhile, the excitation signal emitting apparatus is in signal connection with the optical receiver, so as to emit an excitation signal of a corresponding intensity to the touch display screen in accordance with the intensity of the detection light received by the optical receiver.

One or more embodiments of this specification provide a method and device for verifying a graphic code, the method comprising: scanning a target graphic code to generate a scanning result for the target graphic code; , to determine whether the target graphic code meets the preset conditions; if so, determine that this scan code operation is an operation requesting to verify whether the target graphic code belongs to the applicant user; generate the first code indicating that the graphic code verification is successful and the target graphic code belongs to the applicant user - Interactive information. By generating targeted feedback information based on the verification result of the graphic code, the user can know that the feedback information is generated according to the verification requirements of the graphic code requested by the user, and it is not a simple error prompt. The feedback result of the authenticity verification of the graphic code is delivered to the user according to the user's graphic code verification requirements, which improves the accuracy of the interaction between the terminal and the user, thereby improving the user experience.

The invention discloses a human-machine voice interaction method and a human-machine voice interaction system. The method includes: acquiring voice information of a user, analyzing the voice information to obtain a language type, adopting a recognition mode corresponding to the language type to recognize the voice information, searching for matching the voice information with pre-stored feedback voice information to obtain matched feedback voice information, and searching for matching the recognized voice information with pre-stored feedback video information to obtain matched feedback video information; if the two types of information are in association, synchronously outputting the two types of information. By means of the human-machine voice interaction method, voice of various languages can be recognized to realize interaction of various languages, and video and audio synchronous reaction can be realized as well to achieve better customer experience; further, by judgment of the association between the feedback voice information and the feedback video information, consistency of the feedback voice information and the feedback video information is realized, interaction accuracy is improved, and higher harmonization and synchronization in voice and image can be achieved.