623results about How to "Enter exactly" patented technology

An apparatus for providing a language based interactive multimedia system includes a selection element, a comparison element and a processing element. The selection element may be configured to select a phoneme graph based on a type of speech processing associated with an input sequence of phonemes. The comparison element may be configured to compare the input sequence of phonemes to the selected phoneme graph. The processing element may be in communication with the comparison element and configured to process the input sequence of phonemes based on the comparison.

A speech recognition method, medium, and system. The method includes detecting an energy change of each frame making up signals including speech and non-speech signals, and identifying a speech segment corresponding to frames that include only speech signals from among the frames based inclusive of the detected energy change.

A hand pattern switch device capable of easily and reliably detecting a hand pattern or a palm motion of an operator. From a picked-up image of a distal arm, an axis passing through the centroid of a hand is determined as a central axis passing through the center of arm. At least either first scanning lines perpendicular to the central axis or second scanning lines extending along the central axis are set between a fingertip and a palm center. While changing the scanning line to be examined from the fingertip side toward the palm center, a determination is made to determine how many number of scanning lines for each of which a finger width equal to or larger than a predetermined width is detected are present, thereby making a detection of whether or not the finger is extended from the palm.

Described is a computer-implemented system and method that dynamically detects which input device (e.g., pen or mouse) is currently in use, and based on the device, varies a program's user interaction model to better optimize the user's ability to interact with the program via that input device. A tablet input subsystem receives pen and touch data, and also obtains keyboard and mouse data. The subsystem analyzes the data and determines which input device is currently active. The active device is mapped to an interaction model, whereby different user interface appearances, behaviors and the like may be presented to the user to facilitate improved interaction. For example, a program may change the size of user interface elements to enable the user to more accurately scroll and make selections. Timing, tolerances and thresholds may change. Pen hovering can become active, and interaction events received at the same location can be handled differently.

A multi-functional remote controller (1) has a multi-functional button (20) consisting of an LCD panel (21), a touch panel (22), a transparent button sheet (23), and mechanical switches (22). The transparent button sheet (23) has a shape with concavities and convexities, and the shape enables a user to recognize the position of each button in the pattern using their sense of touch. When the user presses down the touch panel (22), a mechanical switch (24) is pressed down to give a click sensation.

The invention discloses a pedestrian re-identification method using attitude information to design a multi-loss function. The method can effectively solve the difficulties caused by frequent occlusionof pedestrians, large differences of video illumination and non-rigid pedestrian attitudes in surveillance video, and has a wide range of applications in security monitoring and other fields. The method is mainly divided into two phases, which are an offline phase and an online phase. The offline phase is responsible for training and learning a high-accuracy deep learning network model, and includes preprocessing, extraction of joint point information, extraction of local features and feature fusion with global features extracted by a backbone network framework, and finally training of the fused features using a quintuple loss function. In the online phase, the trained deep learning network model is used for feature extraction, so that pedestrian re-identification between a target to be analyzed and a stored target picture library is achieved by similarity calculation.

A device including a housing, a writing tip connected to the housing, a writing surface position indicator, a processor in the housing, a memory device in the housing connected to the processor, and a sensor in the housing and cooperative with the writing surface position indicator. The device may be used to record writings and drawings applied to a surface by a user, to transmit that data to a remote device, to download data from remote devices, and to otherwise communicate with remote devices.

A system and method of providing an autocomplete recommended word, which classify a recommended word list according to indexes of various languages, store the recommended word list for each index, extract a corresponding autocomplete recommended word according to a user query and a setting mode which is received from a user's web browser, provide the user with the corresponding autocomplete recommended word, and thereby may propose a suitable recommended word according to the user query.

A Bluetooth headset for a helmet having an inter-communication is provided. The Bluetooth headset includes a headset body configured to be mounted on a helmet, a microphone and a speaker that are configured to be installed on the headset body, a jog dial configured to be installed to perform a rotation operation and be subject to a push operation, a Bluetooth module configured to be accommodated in the headset body and to perform wireless communication while paired with an external Bluetooth device, and a control unit configured to be accommodated in the headset body to process a signal input from the microphone, a signal input according to the rotation operation and the push operation of the jog dial and a signal received from the Bluetooth module and output the processed signal to the speaker and the Bluetooth module.

An input section includes a palm rest and a hand detection sensor on the top surface of a housing. The input section also includes, for example, an analog resistive touch panel above the housing to the front. A palm rest is used as a base for placing a palm for manipulating the touch panel and has a flat surface slightly forward with reference to a horizontal level. The touch panel tilts below the surface of the palm rest. The touch panel is given a tilt angle so that the fingertip or the finger cushion naturally touches the surface (panel surface) of the touch panel when the palm is placed on the palm rest.

There is provided a data input device and a data input method. The data input device including: a sense unit provided by forming a predetermined sense region at a side of a case of an electronic apparatus terminal, for generating a first direction input signal by sensing a horizontal pressure in a predetermined radial direction of the finger put on a reference position within the sense region, and for generating a second direction input signal by sensing a vertical pressure leaned in a predetermined direction while the finger is put on the reference position; and a controller for determining a horizontal pressure direction or a vertical pressure position of the finger from the first direction input signal and the second direction input signal, and for extracting data assigned to a corresponding radial direction and a pressure position to input.

The invention relates to a human face value evaluation method, device and terminal device. The method comprises the following steps: conducting convolution processing on a human face image according to convolution layers of a convolution nerve network, so as to obtain local features of the human face image extracted from each convolution layer, wherein the human face image is the human face-containing area in an original image, and the convolution nerve network is subjected to a set number of task training; integrating the local features extracted from the convolution layers through a whole connection layer of a convolution nerve network, so as to link the local features into a one-dimensional vector with a set length; inputting the one-dimensional vector into a set number I of forecasting layers of the convolution nerve network respectively, so as to obtain a scoring value, relative to the human face, of the set number according to the forecasting layers. The method, device and terminal device have the advantages that a user can adjust a photographing process more specifically according to the scoring value, so as to improve the picture quality of a photograph to be shot or the skin smoothness of the user.

The invention provides a multi-cycle installment decision making method and a multi-cycle installment decision making system. The multi-cycle installment decision making method comprises the steps of: acquiring user credit investigation information of a target user according to an installment request input by a user end or an external trigger, wherein the user credit investigation information comprises anti-fraud information and credit information of the user; applying for anti-fraud scanning based on the anti-fraud information and a called anti-fraud model, so as to obtain risk rating information; applying for credit scanning based on the credit information and a called credit model, so as to obtain credit rating information; and matching the risk rating information with a risk requirement and matching the credit rating information with a credit requirement in installment decision making, so as to output matched installment decisions. The multi-cycle installment decision making method and the multi-cycle installment decision making system can extract effective user information for data processing through classifying and integrating a large amount of user information, and feed back installment decision making schemes timely and accurately.

A variable capacitor is disclosed, including: a dielectric having a first surface and a second surface opposing the first surface; a first electrode disposed on the first surface of the dielectric; a second electrode disposed to face the second surface of the dielectric; and a pressing member configured to cause the second electrode and the dielectric to contact each other when a pressing force is applied thereto (e.g., when a pen-shaped position indicator including the variable capacitor is pressed against a tablet). In the variable capacitor, the second electrode includes at least one electrode piece having an abutting central portion, against which the pressing member transmits a pressing force applied thereto, and an extension portion that radially extends from the abutting central portion toward a circumferential portion of the dielectric. A contact area between the dielectric and the second electrode is changed in accordance with a pressing force applied to the pressing member, to thereby change a capacitance of the variable capacitor.

The present invention provides a suggestive and device of error correcting encode in the input course, the method includes following steps: receiving the encode string of user input; obtaining a corresponding candidate item by a conversion according to the received encode string; judging the candidate item whether exists candidate item obtained by easily-confused encode identification method or not; if yes, suggesting the error correcting encode information. In order to help the user input correct encode string, the invention creatively provides the suggestive information containing correct encoding string to the user under the confused condition, to help the user actively improve the input accuracy of the encode string in the use course, reducing the dependence of the fuzzy tone for user.

A method of displaying a display screen by using a display that is flexible is disclosed. The method includes detecting deformation of the display; determining whether an object is displayed within a set range from a folding line at which the deformation is detected; and modifying the displayed objected and displaying the modified displayed object when the object is displayed within the set range.

The invention discloses a commodity name recognition method based on a full-text attention mechanism. The method comprises the following steps: establishing a depth neural network model with a full-text attention mechanism; adding a full-text attention layer into the depth neural network model; in the full-text attention layer, the full-text information being represented by a method of embedding aword into a vector; the full-text attention layer being represented by a full-text information embedding vector. Then, for each word to be annotated, the similarity between them and the full-text attention-level word vector is calculated, so that the word can obtain the 'attention weight' of the full-text, that is, the word can focus on the context information of the document, and the additionalfeatures of each word can be calculated by using the sum of the attention-level weight, so as to identify the trade name. The method of the invention can effectively extract commodity names from irregular texts, solves the problem of inconsistent identification of the same commodity in context, and improves the accuracy of identification.