Image Detection Device Emulating Mouse Functions via Hand Gestures
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Solution Overview
Problem
Current graphic user interface input devices, such as mice, touchpads, and touchscreens, are often inadequate or unavailable in certain situations, limiting their usability, especially when users wear gloves or need to interact with small surfaces.
Innovation Solution
A method that emulates a mouse using an image detection device to automatically detect hand gestures, allowing users to provide commands to an electronic processor without the need for traditional input devices, enabling reliable detection of finger movements to mimic mouse button operations and cursor translation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional graphic input devices (mouse, touchpad, touchscreen) are used, then user interface functionality is provided, but usability deteriorates when users wear gloves or need to interact with small surfaces
Solution Approach 1:
The patent replaces mechanical contact-based input devices (mouse, touchpad, touchscreen) with an optical detection system using image capture device 100. Instead of requiring physical contact with surfaces, the system captures images of hand gestures and processes them to generate user commands, enabling operation while wearing gloves and eliminating the need for large input surfaces.
2Adaptability or versatility
If image detection device is used to emulate mouse functions, then adaptability to different conditions improves, but device complexity increases
Solution Approach 1:
The patent makes the image capture device 100 serve multiple functions: it acts as both the primary input device for capturing hand gestures and the detection mechanism for recognizing commands. This multi-functionality reduces the need for separate dedicated input hardware, thereby managing complexity while maintaining high adaptability across different usage conditions.
3Ease of operation
If automatic visual detection of gestures is implemented, then ease of operation improves by eliminating physical contact requirements, but measurement precision requirements increase
Solution Approach 1:
The system processes captured images through gesture recognition algorithms that analyze hand positions, finger configurations, and movement patterns. The feedback loop involves comparing detected gestures against known command patterns, allowing for precise interpretation of user intentions even with variations in hand size, position, or speed of movement.
Data Source
AI summary
It is disclosed a method for providing user commands to an electronic processor, wherein a first command corresponds to the pressure of a first predetermined button of a mouse and a second command corresponds to the release of the button. An image detection device in communication with the electronic processor is able to detect a sequence of images of a person using the electronic processor. The method comprises the following steps: A) identifying a hand of the person; B) detecting movement of the hand corresponding to pinching of the pad of the thumb and of the pad of another finger; C) generating the first user command and sending it to the electronic processor; D) detecting movement of the hand corresponding to spreading of the pad of the thumb and of the pad of the other finger; E) generating the second user command and sending it to the electronic processor.