128 results about "Finger detection" patented technology

The invention relates to the filed of computer equipment, in particular to a virtual input device of a grove type, comprising a left grove and a right grove. The left grove and the right grove are respectively provided with a finger detection module, a state collecting and processing module, a radio transmission module and a virtual keyboard driving program. The invention has the advantages that: (1) a computer system can discard a traditional practical keyboard from now on and be provided with a hidden keyboard; (2) the computer system can discard a traditional practical mouse from now on and be provided with a hidden mouse; (3) the size of the computer system is greatly reduced, and a hidden wearing-type computer can be realized in the true sense by matching with a virtual monitor (an eyeglass monitor or a helmet monitor); (4) a soft keyboard can be solely set according to personal favorites so as to accord with the operation habit of everyone; and (5) the operation of the keyboard and the mouse can be carried out in any place in any gesture without environment or space limitation.

A device and system for automatically tracking a baseline input into a biometric sensor is provided. The device and system include a processing system with an amplifier having an input terminal and an output terminal for producing an output signal based on the input signal received by the input terminal. The processing system further includes at least one signal conditioning element coupled to the input terminal of the amplifier and configured to condition a compensation signal, and the processing system further includes a control circuit that adjusts one or more signal conditioning parameters of the at least one signal conditioning element based on the output signal of the amplifier. The at least one input signal received by the input terminal includes a combination of the at least one compensation signal and a signal from a first set of one or more receiver electrodes of the biometric sensor.

In one aspect there is provided an embodiment of an image capture device comprising a camera, an image processor, a storage device and an interface. The camera is configured to capture images in visible spectrum light of a human finger as part of a human hand in a field of view (FOV) of the camera. The image processor is configured to process a first one of the images to detect a presence of the finger. The image capture device is configured to detect the position of the presence of the finger tip, track movement of the finger tip within the FOV by processing at least a second one of the images and generate a command based on the tracked movement of the finger within the FOV. The method does not require any pre-detection training sequence with said finger prior to finger detection, and does not require the finger to be in specific relative angle or finger orientation in said FOV. If the human hand is holding a “finger” like object, such as a pen or stick, such object will be recognized as finger and the tip of the object will be recognized as finger tip and position is also detected. The interface is configured to transmit the detection of the presence of the finger, the assigned position of the finger tip and the command to an external apparatus.

The invention discloses a method for quick human-computer interaction based on finger tip tracking, which comprises the following steps: firstly, preprocessing an image, adopting a wide-angle high-definition camera to perform high-resolution image pick-up on an indoor area, and performing image geometric distortion correction on the obtained images; secondly, extracting hand images, processing the obtained corrected images by a skin color filter, a motion filter and a color splitter, merging the results, and splitting the hand images out of the obtained corrected images; and finally, performing finger tip positioning: applying a histogram to perform rough finger tip positioning, using the rough position of a finger tip as a center to construct a searching window, and performing precise finger tip positioning through template matching. The method effectively improves the perceiving efficiency of scene images, achieves finger detection and positioning in a large range, judges the image distance between two eyes as a basis to perform the finger tip positioning without prior knowledge of the environment, and has outstanding distance robustness.

A finger detection device and method of a fingerprint recognition IC is disclosed. The device comprises sensing electrodes, a capacitive sensing layer, a signal processing circuit, a multiplexer module and a signal register. The sensing electrodes are defined as a fingerprint sensing zone. The capacitive sensing layer covers the sensing electrodes. The signal processing circuit is arranged below and electrically connected with the sensing electrodes. The multiplexer module defines a finger detection zone. The finger detection zone includes at least one of the sensing electrodes. The signal register is electrically connected with the signal processing circuit, receiving a detection signal generated by the finger detection zone and comparing the detection signal with a preset value. The finger detection device uses only a portion of the sensing electrodes to detect a finger approaching/contacting it to determine triggering or sleeping of the fingerprint recognition IC and thus reduces power consumption.

The invention discloses a finger vein image acquisition device. The device comprises an infrared light source, a finger detection position and an infrared image acquisition unit, wherein the infrared image acquisition unit is used for acquiring the vein image of a detected object placed at the finger detection position under irradiation of the infrared light source; and the device also comprises a vital sign detection unit which is used for acquiring the vital sign information of the detected object so as to judge whether the detected object is a true finger. The device can avoid the phenomenon that a person from places an artificial finger or a forged vein image at the finger detection position and the finger vein image acquisition device cannot distinguish between the realness and the fakeness to allow the artificial finger or the forged vein image to pass through safety certification, so that the safety of the system is obviously improved. The device can perform light source compensation by adjusting the brightness of the infrared light wave and reduce the influence of the stray light, such as sunlight, light and the like, on the image acquisition effect by using a shielding housing, so that the accuracy of the image acquisition is improved.

The invention provides a finger detection element and a detection method for a fingerprint sensing integrated circuit. The finger detection element comprises a plurality of sensing electrodes, a capacitance inductive layer, a signal processing circuit, a multiplex processing module, and a signal temporary storage region. The sensing electrodes are used to define a fingerprint sensing region. The capacitance inductive layer covers the plurality of sensing electrodes. The signal processing circuit is disposed below the plurality of sensing electrodes and is electrically connected with the plurality of sensing electrodes. The multiplex processing module is used to define a finger detection region. The finger detection region comprises at least a sensing electrode. The signal temporary storage region is electrically connected with the signal processing circuit, and is used to receive a detection signal generated by the finger detection region and compare the detection signal with a preset value. Through just starting at least a part of sensing electrodes, whether a finger gets close or contact can be detected, so as to start the circuit or come into dormancy, thereby saving electric power.

The invention discloses a finger vein recognition device and method with the living body finger detection function. The device comprises a near-infrared light lamp bank arranged around a finger and further comprises a guide groove located in the middle of the device and guiding the placement position of the finger. A finger placement platform is arranged at the bottom of the guide groove. A camera device for photographing veins is arranged on the lower portion of the platform. A camera window is arranged in the center of the finger placement platform. An optical filter is arranged between a camera of the camera device and the camera window. An infrared pulse wave detection sensor is arranged on or below the finger placement platform. A control module is further arranged in the device, wherein the control module is used for controlling the photographing process, processing photographed data and processing data detected by the infrared pulse wave detection sensor. According to the device and method, pulse waves are detected through the infrared pulse wave detection sensor arranged in the device, then, whether a test object has a living body finger or not is judged, and thus the reliability of finger vein recognition is improved.

A finger sensing device may include an array of finger sensing electrodes, and a processor cooperating with the array of finger sensing electrodes for operation in a lower power consumption finger detecting mode, and for operation in a higher power consumption reading mode upon detection of a finger. The processor may selectively bus together finger sensing electrodes into at least one group from the array thereof when in the lower power consumption finger detecting mode to thereby detect a finger adjacent the array of finger sensing electrodes. Accordingly, a finger may be accurately detected and while in a low power mode, such as may be particularly beneficial to extend battery life for portable electronic devices.

The invention discloses an electrostatic spinning nano-fiber film, and a preparation method and a finger detection method of the electrostatic spinning nano-fiber film. The finger detection method has the advantages of simplicity, rapidity, high sensitivity and no toxicity or harm, and dispenses with large instruments. The prepared fiber film has a wide range of practical objects, is rapid and convenient for operation, and is easy for mass production, and the raw material of the fiber film can be easily acquired. The invention mainly adopts the electrostatic spinning technology to prepare the polymer-based dye hybridization nano-fiber film, and the film can be used for direct fingerprint extraction and rapid fingerprint display at a certain temperature. The electrostatic spinning nano-fiber film disclosed by the invention is a polymer nano-fiber film in which dyes are evenly dispersed, wherein, the mass ratio of polymer and the dyes is 2-100 to 1, and the nano-fiber diameter is uniform and ranges from 50nm to 1,000nm.

A fingerprint identifying device and an electronic device are disclosed. The fingerprint identifying device is applied to the electronic device with a flexible display screen. The fingerprint identifying device comprises a buffering structure, which is arranged under the flexible display screen; a support member, which is arranged under the buffering structure, is arranged on the middle frame of the electronic device, and is used to support the flexible display screen; an optical fingerprint modulus, which is arranged under the support member. Finger detection signals, which are generated by afinger, are received by the optical fingerprint modulus through the buffering structure and the support member after reflecting and scattering. The fingerprint detection signals are used to detect the fingerprint information of the finger.

The invention provides a method and equipment for detecting fingers in images. The method includes: extracting a candidate finger-palm center axis traversing candidate fingers and a candidate palm from a binary image generated from an image; generating shape features of the candidate fingers and the candidate palm corresponding to the candidate finger-palm center axis; and judging whether the candidate finger-palm center axis stems from a human hand or not according to shape features of fingers and a palm of a human. By the method and the equipment for detecting the fingers in the images, the features with notable physical meanings are extracted from the images, and the fingers are detected by the aid of the extracted features, so that the fingers are detected accurately and efficiently.

The invention discloses a data glove, wherein the palm base frame is used for being arranged on a palm part in a sleeving mode, and the finger detection mechanisms are arranged on finger parts in a sleeving mode. The finger detection mechanism comprises thumb, index finger and middle finger, a name finger detection mechanism and a little finger detection mechanism, each finger detection mechanismcomprises sensors worn on the hand backs of the three knuckles and two strain gauge sensors arranged among the three sensors. The strain gauge sensor is used for being attached to a finger joint, thesensors arranged on the three knuckles comprise a first gyroscope sensor provided with a distal phalanx; the second gyroscope sensor is arranged on the proximal phalanx; the third gyroscope sensor isarranged on the middle phalanx; bending degree sensing strips are arranged between the proximal phalanx ends of the index finger detection mechanism, the middle finger detection mechanism, the ring finger detection mechanism and the little finger detection mechanism and the palm base frame, and the bending degree sensing strips are used for being attached to finger joints and conveniently adjustedaccording to different hand types, so that collected finger joint action data are accurate.

A physiological detection device comprises a finger detection unit, a storage unit and a processing unit. The finger detection unit is used for detecting a current track drawn by a current user and current physiological information of the current user. The storage unit is used for storing track features of preset tracks which are drawn by a plurality of users on the finger detection unit for preset time or for a preset number of times and correspond to the users respectively in advance. The processing unit is used for analyzing the current track and recognizing the current user according to the track features stored by the storage unit. The invention further provides a physiological detection method and a user recognition method.

The invention discloses an electronic device and a detection method which are advantageous to reduce power consumption of electronic devices. The electronic device includes: a touch screen having a finger detection region, a fingerprint module, a main processor and a co-processor. The co-processor is intended for detecting a touch event on the touch screen. The fingerprint module is intended for acquiring touch data of the fingerprint detection region corresponding to the detected touch event. The co-processor is also intended for acquiring the touch data which is acquired by the fingerprint module, and determining whether the touch event occurs mistakenly.

Techniques for scanning a document, such as a book, magazine, or catalog, are described in which artifacts (e.g., a hand or other body part) in the scanned image are automatically detected. When the artifact is determined to be in a critical portion of the image, a signal may be issued to re-scan the image.

The invention relates to a gesture control method for controlling object rotation. The gesture control method comprises the specific steps: defining a hand-shaped area in a certain space area near thecontrolled object; capturing an image in the hand shape area, and identifying a palm and fingers of a user on the image; detecting whether nails exist at the ends of the fingers, and judging the orientation of the palm center of the palm relative to the image recognition unit; detecting the length ratio of the extended finger to the palm to identify that the extended finger is one or more of a thumb, an index finger, a middle finger, a ring finger and a tail finger; judging whether the palm is a left palm or a right palm in combination with the orientation of the palm center relative to the image recognition unit according to the position of the extended single finger relative to the palm or the arrangement sequence of the plurality of fingers; and calling a corresponding control commandfor rotating the controlled object according to the palm center orientation change of the left palm or the right palm or in combination with the extended fingers. According to the invention, the senseof reality and the simplicity of rotation control of the object by the user through gestures can be improved.

The invention relates to a wearable finger detection device based on pressure and electromyographic signals. The device is characterized by comprising a pressure signal collecting fingerstall, a connecting band, an electromyographic collecting finger ring, a signal transmission data cable and a fixing band, wherein the pressure signal collecting fingerstall is matched with the fingertip of a finger to be tested in shape and is connected with the electromyographic collecting finger ring through the connecting band, and the fixing band is arranged on the other side of the electromyographic collecting finger ring; a pressure plate is arranged on the portion, for sensing stress, of the pressure signal collecting fingerstall, and pressure signals are output through the signal transmission data cable; an electrode patch is arranged on the portion, for sensing flexor tendon stress, of the electromyographic collecting finger ring, and flexor tendon stress signals are output through the signal transmission data cable. Pressure signals and electromyographic signals of the finger can be collected and detected at the same time, and the requirement for verifying the authenticity and objectivity of electromyographic signal output by taking a pressure signal detection result as auxiliary data is met.

The invention relates to a multi-finger detection method of a capacitive touch screen, wherein the touch screen comprises a plurality of scanning lines, and the method comprises the following steps of: firstly, dividing the touch screen into a plurality of induction blocks; secondly, starting a scanning process to find out a plurality of induction blocks having larger differential capacitance; and finally, determining inside specific position of the larger induction block according to the differential capacitance of surrounding induction blocks of the larger induction block. With the multi-finger detection method of the capacitive touch screen, the touch screen is divided into a plurality of regions, when the differential capacitance of a region touched by the finger is higher than a predetermined threshold, a induction block region touched by the finger can be determined, so that interference of ghost points is avoided.