Depth-Based Gesture Control for Multi-Device Target Selection
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Solution Overview
Problem
Existing intelligent equipment systems require unique gestures for each device, leading to a low gesture reuse rate as one gesture can only control one operation of single intelligent equipment, making it impossible to control different equipment with a single gesture.
Innovation Solution
A control method that determines the positional relationship between a control gesture and multiple intelligent equipment using depth images and positional information, allowing the same gesture to control multiple devices by identifying a target device based on preset conditions, such as included angles, to improve gesture reuse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each intelligent device is assigned a unique gesture for control, then the device can be accurately controlled without accidental activation of other devices, but the gesture reuse rate becomes low and the system becomes less versatile
Solution Approach 1:
The patent introduces spatial dimension (depth information) to gesture recognition. Instead of relying solely on 2D gesture patterns, the system uses 3D depth images to capture the spatial relationship between the gesture and devices. This additional dimensional information allows a single gesture to be disambiguated based on its position in space relative to multiple devices, enabling one gesture to control multiple different devices depending on where it is performed.
Solution Approach 2:
The patent introduces a central control device as an intermediary that receives depth images from a depth camera, determines the spatial relationship between gestures and devices, and then sends control instructions to the appropriate device. This intermediary system coordinates the interaction between user gestures and multiple devices, enabling versatile control while maintaining accurate device identification through spatial analysis.
2Adaptability or versatility
If multiple intelligent devices are present in a room, then the system provides more functionality, but each device requires a unique gesture set increasing system complexity
Solution Approach 1:
The patent makes the gesture system universal by enabling a single gesture type to control multiple different devices. Through depth-based spatial recognition, the same gesture can target different devices based on their positions in the room. This eliminates the need for each device to have its own unique gesture set, reducing overall system complexity while supporting multiple devices.
Solution Approach 2:
The patent changes the parameter used for device identification from gesture type to spatial position. Instead of requiring different gestures for different devices, the system uses the spatial coordinates and depth information of the gesture relative to each device to determine the target. This parameter change from categorical (gesture type) to continuous (spatial position) simplifies the gesture vocabulary needed.
Data Source
AI summary
A control method for intelligent equipment includes: determining a positional relationship between a control gesture and various intelligent equipment according to a depth image containing the control gesture and positional information of various intelligent equipment, wherein the control gesture is a gesture made by a user to control various intelligent equipment; and starting an equipment control operation on target intelligent equipment based on the control gesture in response to determining that a positional relationship between the target intelligent equipment and the control gesture meets a preset condition.