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 relates to a fingertip detection method based on Kinect depth information. A device Kinect is connected to a computer through a cable. The method is characterized by comprising the firststep of extracting a hand and acquiring a palm coordinate; the second step of performing fingertip positioning including image preprocessing and hand contour; performing joint bilateral filtering onan extracted hand area; utilizing a Douglas-Poke algorithm to approximate a specified point set, finding out a polygon fitted curve of the hand contour and drawing out a fitted curve of the hand; thethird step of utilizing a convexHull () function to search the steps, and analyzing and obtaining a convex hull point of the hand; the fourth step of obtaining the curvature at the convex hull point,and according to the difference between the curvature of the wrist and the curvature of the fingertip, setting an appropriate threshold value to remove the convex hull point at the wrist. The method can complete gesture recognition tasks in real time and accurately, improve the real-time property and accuracy of Kinect gesture recognition, and improve natural gesture interaction experience.

The invention discloses a fusion and interaction system for an extra-large-breadth display contact, which comprises a projector, a plurality of display screens, cameras and an interactive laser pen, wherein the projector and the display screens are connected with a projection host; the cameras and the interactive laser pen are connected with an interaction host; the display screens are spliced to form an extra-large-breadth display screen; the projector is used for projecting images onto the extra-large-breadth display screen; infrared laser emitted from the interactive laser pen is projected onto the extra-large-breadth display screen to form interactive contacts; the back of each display screen is provided with more than two cameras; the cameras simultaneously track and collect the image data comprising a laser point coordinate on a single display screen corresponding to the cameras; and the data is transmitted to the interaction host connected with the cameras; the interaction host processes the data so as to obtain an image which can reflect the laser point movement state; and the image data is fed back to the projection host and is projected on the extra-large-breadth display screen by the projector connected with the projection host.

The invention relates to an interaction model training method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a reference interaction track, wherein the reference interaction state sequence comprises a plurality of reference interaction states which are sequenced in sequence according to an interaction sequence; selecting a current initial interaction state from the reference interaction track according to a reverse order of the interaction order; training a to-be-trained interaction model according to the current initial interaction state to obtain a current training interaction model corresponding to the current initial interaction state; and when it is determined that the current training interaction model meets the model convergence condition corresponding to the current initial interaction state, returning to the step of selecting the current initial interaction state from the reference interaction track according to the reverse order of the interaction order to obtain the updated current initial interaction state so as to continue model training until a training stop condition is met to obtain a trained target interaction model . By adopting the method, the model training effect can be improved.

The invention requests to protect a tracking registration precision correction method in an augmented reality system. The method comprises the following specific operation processes: performing clustering analysis on spatial data; Locally employing t-S fuzzy system preprocessing; Deep learning is utilized globally for training; Preliminarily correcting a training target of the convolutional neuralnetwork by using a deep learning algorithm; Solving by adopting a least square support vector machine; And outputting a correction result when the precision reaches the application requirement, or else returning the data to continue deep learning training.

The invention discloses a robot, a method, a device and a medium, and the robot projects an advancing indication diagram in real time in the operation process, and obtains an obstacle area existing on a road surface in the operation process; detecting whether there is an overlapping region between the advancing indication diagram and the obstacle region; and when an overlapping region exists between the advancing indication diagram and the obstacle region, adjusting the advancing indication diagram according to the overlapping region, so that the overlapping region does not exist between the advancing indication diagram and the obstacle region. The advancing indication diagram is adjusted according to the curve overlapping area, so that the advancing indication diagram emitted by the robot can be dynamically deformed according to different obstacle areas, the adjusted advancing indication diagram is not overlapped with the obstacle areas, and then information interaction between the robot and the obstacle is achieved. And the information interaction efficiency and the information interaction accuracy between the robot and the person are improved.

The invention belongs to the technical field of intelligent equipment, and particularly relates to an intelligent sensing glove and an intelligent sensing method. The intelligent sensing glove comprises a cover shell and a fastening belt. The fastening belt is arranged at the side end of the cover shell, and a sensor group is arranged on the inner side of the cover shell. The cover shell is fixed through the fastening belt, so that the sensor group on the inner side of the cover shell is in close contact with the skin of the hand back of a wearer. The action information of muscle tendons of the hand back is sensed by sensors in real time, and the motion information of the fingers of the wearer is identified according to the action information of the muscle tendons of the hand back. According to the intelligent sensing glove and the intelligent sensing method, the strip-shaped mechanical sensors are distributed on the inner side of the intelligent sensing glove at intervals, so that the number of the sensors is reduced greatly, and the reduction of cost and the reduction of the weight of the intelligent sensing glove are facilitated. The intelligent sensing glove is simple in structure and more convenient to use. The intelligent sensing glove and the intelligent sensing method can improve interaction accuracy, are strong in system work stability, and are not prone to being affected by environmental factors.

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 discloses a house relocation business management and collaboration platform, and relates to the technical field of house relocation management. The invention comprises a basic data management system, an account management system, a collaborative office system, a collection service system, a platform monitoring system, a data analysis system and a database. The basic data management system is mainly used for carrying out basic management on various information; the account management system is used for managing various accounts; the collaborative office system is mainly composed of an online message leaving module, a work collaborative module and a common question answering module. The collection service system comprises a service of a mobile terminal and a service of a computer terminal; the platform monitoring system comprises access log monitoring, user login monitoring and browsing footprint monitoring; the data analysis system comprises data analysis of a mobile terminal and data analysis of a computer terminal. Various problems existing in house relocation work are solved.

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 invention discloses a laser cursor monitoring method and device and a storage medium. The laser cursor monitoring method comprises the steps: monitoring whether a light spot is projected to a display screen of the laser cursor monitoring device or not through a monitoring sensor in the display screen; when it is monitored that a light spot is projected to the display screen, obtaining the attribute information of the light spot; and monitoring whether a laser cursor exists in the display screen or not according to the attribute information of the light spot. According to the method, the interaction precision with the television can be improved.

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.