Flow chart stroke grouping method based on eye movement data and device
A data and process technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of single information form, difficult to break through the performance of stroke grouping method, etc., achieve high speed, improve user experience, accuracy high effect
Active Publication Date: 2016-11-16
NANJING UNIV
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Problems solved by technology
The information form used by this method is relatively single, so it is difficult to break through the performance bottleneck of the stroke grouping method
Method used
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[0038] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0039] This embodiment relates to a device for inputting a flow chart sketch. The device consists of a host, a display screen, an input device, and an eye tracker. The display screen, input device and eye tracker are connected to the host computer. The input device can be a mouse, a stylus, or even a touch screen. The host is equipped with CPU, RAM and persistent memory. The process sketch input recognition program is stored in the persistent memory. When the program is executed by the CPU, the user can draw a process sketch on the display screen through the input device, and the process sketch drawn by the user can be recognized when the program is executed. Generate a canonical flowchart. When the user draws a process sketch on the display screen through the input device, the eye tracker collects the user's eye movement data. The host obtains the eye m...
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The invention discloses a flow chart stroke grouping method based on the eye movement data and a device. According to the method, the eye movement data is acquired from an eye movement instrument by a user during flow sketch drafting; the eye movement data is analyzed to acquire a fixation point set; a calorific value of each point on a screen is calculated according to the fixation point set; the calorific value of each point on the screen is filtered on the basis of a threshold to acquire a calorific point set; clustering analysis on the calorific point set is carried out to acquire a calorific zone set; a calorific zone center is taken as a center point to gradually expand outwards to query strokes forming a closed zone in a center point expansion zone, and the strokes forming the closed zone are set to be a stroke group corresponding to the calorific zone. The method is advantaged in that stroke grouping and flow sketch drafting can be simultaneously realized, a stroke grouping speed is fast, high accuracy is realized, solid bases are provided for subsequent identification, the method has no requirements of stroke sequence and drafting time and no added inter-symbol pause constraints in a flow drafting process, and user experience is greatly improved.
Description
technical field [0001] The invention relates to stroke recognition, in particular to the application of eye movement data analysis in stroke recognition. Background technique [0002] Sketch recognition is the recognition of hand-drawn graphics, using computers to recognize hand-drawn diagrams, such as flowcharts, UML diagrams, circuit diagrams, etc. Human-computer interaction based on sketch recognition allows users to express and transmit information in a visual form, which is natural and intuitive, easy to understand and easy to operate. In sketch recognition, stroke grouping is an important content. The so-called grouping of strokes refers to how to divide the strokes into several stroke groups that can form entity units in the sketch of multiple entities. After the strokes are grouped, the strokes in the stroke group can be further identified. For example, in a hand-drawn circuit diagram, by grouping strokes, the strokes of the hand-drawn sketch are divided into sepa...
Claims
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IPC IPC(8): G06K9/00
CPCG06V30/2268
Inventor 冯桂焕晁贝贝宋笑寒施大鹏
Owner NANJING UNIV