Acer Inc.

Acer Cyber Security Incorporated

National Taiwan University

Chien-Hung Li

Yi-Jin Huang

Yin-Hsong Hsu

Hung-Sheng Hsu

Yueh-Yarng Tsai

Yu-Hsuan Shen

Tsung-Hsien Tsai

Chiung-Ying Huang

Chun-Hsien Li

Ming-Kung Sun

Zong-Cyuan Jhang

Wei-Hao Chang

Po-Jen Tu

Chun-Chieh Chiu

Tzu-Hsiang Chang

Neng-Wen Yeh

Iou-Ren Su

Sheng-Yu Weng

Jehn-Yu Huang

Jun-Mein Wu

Chiang-Tsun Chen

Ming-Chi Kuo

Shang-Lin Chung

The disclosure provides an image segmentation model training method and an electronic device. The method includes the following steps. A plurality of labeled images of a training image are obtained, wherein each of the labeled images includes a labeled target area and a background area. A union area of the labeled target areas of the plurality of labeled images is obtained, and a complement area of the union area is obtained. A predicted segmented image of the training image is generated using an image segmentation model. A first loss value is generated according to the predicted segmented image and the complement area. A second loss value is generated according to the predicted segmented image and the labeled target area of at least one of the plurality of labeled images. The image segmentation model is trained according to the first loss value and the second loss value.

Image segmentation model training method and electronic device

An electronic device and a method for determining the intensity of a low-frequency current are provided. The method includes: individually applying a corresponding first current to a body part of a user in N consecutive time intervals, wherein the time intervals include an i-th time interval to an (i+N)-th time interval; obtaining electromyography values of the body part in each time interval; determining a second current corresponding to an (i+N+1)-th time interval based on the first current corresponding to each time interval, the body part, personal information of the user, and the electromyography values of each time interval; and applying a second current to the body part of the user in the (i+N+1)-th time interval.

Electronic device and method for determining intensity of low-frequency current

An image processing apparatus for evaluating cardiac images and a ventricular status identification method are provided. In the method, a region of interest (ROI) is determined from multiple target images, a variation in grayscale values of multiple pixels in the ROIs of each target image is determined, and one or more representative images are obtained according to the variation in the grayscale values. The target image is related to the pixels within an endocardial contour of a left ventricle. A boundary of the ROI is approximately located at two sides of a bottom of the endocardial contour. The ROI corresponds to a mitral valve. The variation in the grayscale values is related to a motion of the mitral valve. The representative image is for evaluating a status of the left ventricle.

Image processing apparatus for evaluating cardiac images and ventricular status identification method

The disclosure provides an eye state assessment method and an electronic device. The method includes: obtaining an optic disc image area from a first fundus photography and generating multiple optic cup-to-disc ratio assessment results by multiple first models based on the optic disc image area; obtaining a first assessment result of an eye based on the optic cup-to-disc ratio assessment results; performing multiple data augmentation operations on the first fundus photography to generate multiple second fundus photographies; generating multiple retinal nerve fiber layer (RNFL) defect assessment results by multiple second models based on the second fundus photographies; obtaining a second assessment result of the eye based on the RNFL defect assessment results; and obtaining an optic nerve assessment result of the eye based on the first assessment result and the second assessment result.

Eye state assessment method and electronic device

A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.

Method and system for establishing light source information prediction model

A method for estimating a ventricular volume is provided and includes: obtaining a left ventricular mask image corresponding to a heart ultrasound image, where the left ventricular mask image is a binary image; finding 3 reference point pixels in the left ventricular mask image, where each of the reference point pixels has a first value, each of the reference point pixels is surrounded by N surrounding pixels, and the surrounding pixels of each of the reference point pixels include N1 first surrounding pixels with the first value and N2 second surrounding pixels with a second value; estimating a left ventricular volume corresponding to the heart ultrasound image based on the reference point pixels.

Method for estimating ventricular volume

A method for evaluating a movement state of a heart is provided and includes: obtaining a plurality of consecutive heart ultrasound images corresponding to a heart and accordingly estimating a plurality of left ventricular volumes corresponding to the heart ultrasound images; finding a plurality of specific extremums in the left ventricular volumes and accordingly estimating a plurality of time differences among the specific extremums; estimating a statistical characteristic value of the time differences based on the time differences; and determining that an abnormal movement state of the heart occurs in response to determining that at least one of the time differences deviates from the statistical characteristic value up to a predetermined threshold.

Method for evaluating movement state of heart

A system of training behavior labeling model is provided. Specifically, a processing unit inputs each data of a training data set into a plurality of learning modules to establish a plurality of labeling models. The processing unit obtains a plurality of second labeling information corresponding to each data of a verification data set and generates a behavior labeling result according to the second labeling information corresponding to each data of the verification data set. The processing unit obtains a labeling change value according to the behavior labeling result and first labeling information corresponding to each data of the verification data set. The processing unit, if determining that the labeling change value is greater than a change threshold, updates the first labeling information according to the behavior labeling results, exchanges the training data set and the verification data set and reestablishes the labeling models.

System and method of training behavior labeling model

A method for detecting abnormality adapted to detect abnormal operations of an operating system is provided. The method includes: calculating a safe range of usage of the operating system during one or more time periods according to a historical data stream; calculating abnormal ratios corresponding to the one or more time periods according to a current data stream and the safe range of usage; selecting one or more abnormal time periods from the one or more time periods according to a threshold and the abnormal ratios; calculating an abnormal indicator for each of the one or more abnormal time periods according to the historical data stream and the current data stream; and ranking the one or more abnormal time periods according to the abnormal indicator(s).

Method and device for detecting abnormal operation of operating system

A prompting method of an adjustable direction of a cursor for a portable electronic apparatus includes the follow steps: detecting a location of a cursor in a display, with the cursor indicating an indicated direction; determining whether any set direction corresponding to the location of the cursor is different from the indicated direction; and if any set direction corresponding to the location of the cursor is different from the indicated direction, displaying a directional adjustment prompting information for prompting at least one adjustable direction of the cursor corresponding to the location of the cursor.

Method and system for prompting an adjustable direction of a cursor

The invention provides an electronic device including a display unit, a touch sensing module and a processing unit. The display unit displays a user interface. The user interface includes a function-enabled area and a cursor. The touch sensing module is arranged to sense a touching object corresponding to the touch event of the cursor. The processing unit is arranged to implement the user interface. The processing unit further enables a function of the function-enabled area when the touch event corresponds to an event in which the cursor is dragged into the function-enabled area and remains in the function-enabled area by pressing for a first predetermined period.

Electronic devices and method for controlling user interface with function-enabled area and cursor

A multimedia playing system is provided. A portable electronic device includes a first dock port, a second dock port, a power module, an audio processor and a controller. When a first single-ear wireless earphone connects with the first dock port, the power module charges the first single-ear wireless earphone via the first dock port. When a second single-ear wireless earphone connects with the second dock port, the power module charges the second single-ear wireless earphone via the second dock port. The audio processor provides a left sound channel signal and a right sound channel signal. When the first single-ear wireless earphone separates from the first dock port, the controller provides one of the left sound channel signal and the right sound channel signal to the first single-ear wireless earphone according to a relative position between the first dock port and a user.

Multimedia playing system and sound channel control method thereof

A touch control method, adapted for an electronic device with a touch screen is provided. The method includes the step of displaying a touch cursor on the touch screen, wherein the touch cursor includes a positioning point; detecting whether a dragging object exists around the positioning point; and moving the dragging object to be associated with the positioning point of the touch cursor and moving the dragging object according to a movement of the positioning point when determined that the dragging object exists around the positioning point and an operating signal corresponding to a dragging action of the touch cursor is received from the touch screen.

Growing community of inventors

Taipei, Taiwan

Chien-Hung Li