Acer Inc.

National Yang Ming Chiao Tung University

Andy Ho

Tsung-Han Yang

Szu-Chieh Wang

Jian-Chi Lin

Jason Hsiao

Tsung-Yao Chen

Tsung-Hsien Tsai

Chun-Hsien Li

Yin-Hsong Hsu

Jun-Hong Chen

Liang-Kung Chen

Cheng-Hung Chen

Li-Ning Peng

Yun-Hsuan Chan

Chian-Ying Li

Eugene Yi-Cheng Shen

An intelligent epidemic prevention system includes a calibration device, an access control system, a visible-light camera recording a first calibration device image of the calibration device and a first user image of a user, a thermographic camera recording a second calibration device image of the calibration device and a second user image of the user, and a computing device that calculates a calibration value according to the first and second calibration device images. The computing device determines whether the user wears a mask properly according to the first user image and generates a first result, and determines whether the temperature of the user is greater than or equal to a threshold temperature according to the calibration value and the second user image and generates a second result. The computing device controls the access control system to open or close according to the first and second results.

Intelligent epidemic prevention system and method

A method and a system for mental index prediction are provided. The method includes the following steps. A plurality of images of a subject person are obtained. A plurality of emotion tags of the subject person in the images are analyzed. A plurality of integrated emotion tags in a plurality of predetermined time periods are calculated according to the emotion tags respectively corresponding to the images. A plurality of preferred features are determined according to the integrated emotion tags. A mental index prediction model is established according to the preferred features to predict a mental index according to the emotional index prediction model.

Method and system for mental index prediction

An embodiment of the disclosure provides a customer behavior analyzing method which includes: capturing an image of a target region by at least one camera; analyzing the image by an image recognition module to detect a customer behavior of at least one customer in the target region; and automatically generating customer behavior information according to the customer behavior. The customer behavior information reflects attention of the customer to at least one commodity. Another embodiment of the disclosure provides a customer behavior analyzing system.

Customer behavior analyzing method and customer behavior analyzing system

A driving notification method and a driving notification system are provided. The driving notification system is disposed on a mobile vehicle, and the driving notification method includes following steps. A surrounding image is captured through an image capturing device. A target object detection is performed to the surrounding image to obtain a target position of an image detection object. A gaze position of a driver is detected through an eye tracking device. Whether the gaze position matches the target position is determined. An alarm device is controlled to activate an alarming operation if the gaze position does not match the target position.

Driving notification method and driving notification system

A dynamic scale adjustment method for data visualization enhancement comprises calculating statistical data for a data collection section according to data collected in the data collection section, calculating a mean value according to the statistical data corresponding to the data collection section, dividing the statistical data into a plurality of levels, determining an upper threshold and a lower threshold according to the mean value, and assigning a first data of the statistical data to the highest level when the first data exceeds the upper threshold and assigning a second data of the statistical data to the lowest level when the second data is under the lower threshold.

Dynamic grayscale adjustment method and related device

A method of visual range mapping includes receiving a plurality of eye detection results from at least one eye tracking device and a display range from a display device, generating a visual range according to the plurality of eye detection results; comparing the visual range with the display range to generate a calibration value, and mapping the visual range into the display range according to the calibration value.

Visual range mapping method and related eye tracking device and system

A visual utility analytic method for an eye tracking system includes dividing each of a plurality of film segments into at least one display area, wherein each of the plurality of film segments corresponds to at least one display target, and the at least one display target respectively corresponds to one of the at least one display area; and comparing the display area corresponding to the at least one display target in the plurality of film segments with a watched area corresponding to each of a plurality of eye tracking detection results to determine a plurality of visual utilities of the at least one display target in the plurality of film segments.

Visual utility analytic method and related eye tracking device and system

A voice control method and a voice control system are provided. The voice control method is adapted to a voice control apparatus connected to a local area network. The voice control method includes following steps. Voice data is received. A voice recognition is executed for the voice data to obtain voice print information and a prompt command corresponding to the voice data. Permission information corresponding to the voice print information is determined according to the voice print information and the prompt command. At least one electronic apparatus is controlled through the local area network according to at least one of the permission information, the prompt command and environment information.

Growing community of inventors

Taipei, Taiwan

Andy Ho