Abstract: The present disclosure provides a method for detecting the focus of attention. The method includes: obtaining the face of a person in the first image, as well as the result of facial recognition; determining whether the distance between the person and the target is within an effective attention range; determining whether the face is frontal; determining whether the effective attention period is not shorter than a period threshold; detecting the focus of attention for the person to the target.

Abstract: The present disclosure provides a method for detecting the focus of attention. The method includes: obtaining the face of a person in the first image, as well as the result of facial recognition; determining whether the distance between the person and the target is within an effective attention range; determining whether the face is frontal; determining whether the effective attention period is not shorter than a period threshold; detecting the focus of attention for the person to the target.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method of processing image data for a low processing device comprises collecting data, performing a statistical operation on the collected data with the first data collection section as a first processing unit, to obtain a plurality of first statistical data for the first data collection section, and performing the statistical operation on at least two of the plurality of first statistical data with a second data collection section as a second processing unit, to obtain at least a second statistical data for the second data collection section, wherein the second data collection section is the accumulation of at least two first data collection sections.

Abstract: 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.

Abstract: 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.