Hand Motion Profile Recognition for Interactive Teaching Displays
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Solution Overview
Problem
Existing image processing technologies for online teaching via live streaming struggle to vividly and accurately display content, as they rely on screen or drawing board interactions that often result in unattractive and limited representations, lacking interactivity and attractiveness.
Innovation Solution
A method and apparatus that determine a user's hand motion trajectory, generate a profile of the object, and search for corresponding information in a database to present an enhanced image, incorporating semantic partitioning, generative adversarial networks, and automatic speech recognition to improve accuracy and interactivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If screen or drawing board interaction is used for content display, then the display process can be implemented, but the content lacks attractiveness and interactivity
Solution Approach 1:
The patent replaces traditional mechanical drawing interactions (screen/drawing board) with voice-based interaction. The ASR module converts speech to text, allowing users to describe objects verbally instead of manually drawing, thereby substituting a mechanical interaction system with an acoustic recognition system that enhances attractiveness and interactivity.
Solution Approach 2:
The patent introduces an intermediary system consisting of the ASR module and object recognition module. This intermediary translates voice descriptions into identified objects, which then trigger retrieval of corresponding images from the database. This intermediary layer adds intelligence and interactivity to the display process, making it more engaging than direct screen interaction.
2Ease of manufacture
If manual drawing is used to show content, then the content can be displayed, but it contains only lines in a single form and lacks vividness
Solution Approach 1:
The patent uses the copying principle by retrieving pre-stored images from a database that contain detailed, accurate representations of objects. Instead of relying on the imprecision of manual drawing lines, the system copies high-quality images from the database that match the recognized object, thereby achieving both ease of creation (voice input) and high precision (detailed images).
Solution Approach 2:
The patent transitions from two-dimensional line drawings to multi-dimensional rich images. The database stores images with color, texture, and detailed features that go beyond simple line representations. This dimensional enhancement transforms the content from basic line sketches to vivid, detailed visual representations.
3Loss of information
If traditional image processing is used, then content recognition can be performed, but real-time accurate recognition is difficult to achieve
Solution Approach 1:
The patent applies preliminary action by pre-processing and storing images in a database before they are needed. Images are categorized and stored with their corresponding object identifiers in advance. When a user describes an object, the system can quickly retrieve the matching pre-prepared image without needing to process or generate it in real-time, thus reducing recognition time while maintaining accuracy.
Solution Approach 2:
The system implements feedback through the object recognition module that identifies objects based on voice descriptions and retrieves corresponding images from the database. This feedback loop provides real-time accurate recognition by continuously matching user input with stored data, improving both speed and accuracy of content recognition.
Data Source
AI summary
A method, apparatus, electronic device, and storage medium for presenting is provided. The method includes: determining operation information of a user from a video, the operation information comprising a motion trajectory of a hand of the user in the video (S110); generating a profile of an object based on the motion trajectory (S120); searching for corresponding information that matches the profile in a database (S130); presenting an image based on the corresponding information (S140).