Cywee Group Limited

Ulsee Inc.

Cm Hk Limited

Cyweemotion Hk Limited

Bluespace Corporation

Other

Industrial Technology Research Institute

Gobe Cam Limited

Zhou Ye

Ying-Ko Lu

Shun-Nan Liou

Sheng-Wen Jeng

Chin-Lung Li

Chin-Lung Lee

Yi-Chia Hsu

Ching-Lin Hsieh

Chih-Ming Chang

Hsin-Wei Hsiao

Chien-Chih Hsu

Pei-Chuan Liu

Wen-Hao Chang

Tigran Tadevosyan

Po-Lung Chen

Duan-Li Liao

Chien-Chun Kuo

Wen-Yang Wang

Yi-Hong Hsu

Shih Wei Liu

Sheng-Weng Jeng

Wenxiang Dai

San-Yuan Huang

Yun-Fei Wei

Pel-Chuan Liu

Shan-Nan Liou

A representative method involves: generating measured angular velocities and measured axial accelerations; calculating a resulting deviation associated with movements and rotations in a spatial reference frame by: providing a previous quaternion corresponding to time T&#x2212;1 based on the measured axial accelerations corresponding to time T&#x2212;1 and the measured angular velocities corresponding to time T&#x2212;1; converting the measured angular velocities corresponding to time T based on the previous quaternion into a current quaternion and predicted axial accelerations; comparing the predicted axial accelerations with the measured axial accelerations corresponding to time T to obtain a first comparison result; obtaining an updated quaternion associated with time T based on the current quaternion and the first comparison result, and using the updated quaternion as a next occurrence of the previous quaternion; and providing the resulting deviation based on the updated quaternion; and, providing content based on the resulting deviation in the spatial reference frame.

Electronic device for use in motion detection and method for obtaining resultant deviation thereof

A face image processing method is provided. The face processing method comprising: extracting a plurality of features from a primary two-dimensional face image to generate a first feature vector; decomposing a three-dimensional face image into a plurality of base face images and a plurality of weighting factors corresponding to the base face images; generating a first two-dimensional code according to the first feature vector; and generating a second two-dimensional code according to the weighting factors.

Face image processing method and device

An electronic device utilizing a nine-axis motion sensor module, capable of accurately outputting a resultant deviation including deviation angles in a 3D reference frame is provided. The present invention provides a novel comparison and compensation to accurately obtain a resultant deviation including deviation angles of the electronic device under the presence of external and/or internal interferences including the ones caused by undesirable electromagnetic fields and the ones associated with undesirable external forces and axial accelerations. The output of the nine-axis motion sensor module of the present invention including a rotation sensor, an accelerometer and a magnetometer can be advantageously obtained and compensated with a comparison comparing different states of the motion sensor module such that an updated state associated with the output and the resultant deviation angles of the nine-axis motion sensor module are preferably obtained in an absolute manner with the undesirable external interferences being effectively excluded.

A method and apparatus for performing motion recognition using motion sensor fusion and an associated computer program product are provided, where the method is applied to an electronic device. The method includes the steps of: utilizing a plurality of motion sensors of the electronic device to obtain sensor data respectively corresponding to the plurality of motion sensors, the sensor data measured at a device coordinate system of the electronic device, wherein the plurality of motion sensors includes inertial motion sensors; and performing sensor fusion according to the sensor data by converting at least one portion of the sensor data and derivatives of the sensor data into converted data based on a global coordinate system of a user of the electronic device, to perform motion recognition based on the global coordinate system, in order to recognize the user's motion.

Method and apparatus for performing motion recognition using motion sensor fusion, and associated computer program product

An electronic control apparatus including motion sensors is integrated in a portable electronic device to responsively control a media content stored in the portable electronic device, in response to motion sensor signals to flip, zoom, displace images/pages of the media content displayed on a display field of a display thereof. Accordingly, a responsive control method includes the steps of: presetting a first threshold angle; sensing an first rotation angle of the portable electronic device to send out a first rotation sensing signal as a rotation of a yaw, pitch or roll of a portable electronic device detected by a sensing module including motion sensors; and receiving the first rotation sensing signal to calculate and determine whether the first rotation angle is greater than the first threshold angle to responsively control a media content stored in an electronic control apparatus be flipped, zoomed or displaced when the first rotation angle is greater than the first threshold angle.

Electronic control apparatus and method for responsively controlling media content displayed on portable electronic device

An electronic device is provided. The electronic device includes a motion sensor and a processor. The motion sensor is configured to perform a sampling at a sampling rate. In each sampling, the motion sensor generates a sample by sampling an angular velocity or an acceleration of the electronic device. The motion sensor is further configured to store each sample in a buffer of the motion sensor. The processor is coupled to the motion sensor and is configured to perform a polling at a polling rate. In each polling, the processor fetches a plurality of the samples from the buffer. The processor is further configured to perform a numerical integration based on the fetched samples.

Electronic device and method of motion processing

Method to create try-on experience wearing virtual 3D eyeglasses is provided using 2D image data of eyeglasses. Virtual 3D eyeglasses are constructed using set of 2D images for eyeglasses. Virtual 3D eyeglasses is configured onto 3D face or head model and being simulated as being fittingly worn by the wearer. Each set of 2D images for eyeglasses includes a pair of 2D lens images, a frontal frame image, and at least one side frame image. Upon detection of a movement of the face and head of wearer in real-time, the 3D face or head model and the configuration and alignment of virtual 3D eyeglasses are modified or adjusted accordingly. Features such as trimming off of portion of the glasses frame, shadow creating and environment mapping are provided to the virtual 3D eyeglasses in response to translation, scaling, and posture changes made to the head and face of the wearer in real-time.

2D image-based 3D glasses virtual try-on system

Method for automatically measuring pupillary distance includes extracting facial features of face image, a head current center indicator is shown/displayed based on facial feature extraction, elliptical frame and target center indicator are shown, a first distance between head current center indicator and target center indicator is calculated to see if below a threshold range, then allowing head current center indicator, elliptical frame and target center indicator to disappear. Card window based on facial tracking result is shown. Credit card band detection is performed to see if located within card window. Card window then disappear. Elliptical frame of moving head and target elliptical frame are shown. Elliptical frame of the moving head is aligned with the target elliptical frame and maintaining a correct head posture. If elliptical frame of moving head is aligned with target elliptical frame, then allow them to disappear from view, and performing a pupillary distance measurement.

Automatic pupillary distance measurement system and measuring method

A microcontroller unit (MCU) characterized by including a buffer is provided. The MCU is a part of a mobile device. The MCU fetches a plurality of samples from a sensor of the mobile device, performs a preset processing according to the samples, stores the samples and/or a result of the preset processing in the buffer, and provides the result or a signal based on the result to the central processing unit (CPU) of the mobile device or an electronic device.

Mobile device and microcontroller unit

Method for a wearable device worn by a first user to generate or retrieve a personal contact record when encountering a second user is disclosed. The method of generating the personal contact record includes capturing a facial photograph of the second user and generating a face information; capturing a card photograph of a business card and performing OCR to obtain a card information; retrieving time and location information to obtain an encounter information; and generating the personal contact information. The method of retrieving the personal contact record includes capturing a facial photograph of the second user; searching through a contact database comprising facial images associated with identities of persons, and attempting to match the captured facial photograph with one of the facial images in the contact database to determine the identity of the second user, and providing messages. Wearable devices for performing the above methods are also disclosed.

Method and apparatus for storing and retrieving personal contact information

An image-based object tracking system and an image-based object tracking method are provided. The image-based object tracking system includes an object, a camera, a computing device, and a display device. A color stripe is disposed on the surface of the object. The color stripe divides the surface of the object into a first section and a second section. The camera is configured to capture real-time images of the object. Further, the object tracking algorithm is stored in the computing device. The display device includes a display screen and is electrically connected to the computing device, and the display screen is configured to display the real-time images of the object. By using the image-based object tracking system provided in the invention, the object can be tracked accurately and efficiently without interference with the image of the background.

Image-based object tracking system and image-based object tracking method

Growing community of inventors

Foster City, CA, United States of America

Zhou Ye