Gesture Control Lighting Device Using 3D Depth Data
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Solution Overview
Problem
Existing remote control systems for lighting devices are cumbersome, requiring direct line of sight and being limited to controlling single attributes of light, making them inaccurate and difficult to use with multiple devices.
Innovation Solution
A gesture control method using a video sensor and light-emitting unit that recognizes three-dimensional gestures to control multiple attributes of lighting, allowing control from any direction and enabling intuitive operation even when the user is not facing the sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a remote controller is used to control lighting devices, then the controlling process is facilitated remotely, but the user still needs to find and pick up the remote controller, and multiple remote controls for different devices are confusing
Solution Approach 1:
The system uses a universal gesture recognition mechanism that can control multiple lighting devices and attributes through a single interface, eliminating the need for multiple device-specific remote controllers. The video sensor captures gestures from users and the processor interprets them to control various lighting parameters across different devices.
Solution Approach 2:
The video sensor and gesture recognition system serve as an intermediary between the user and the lighting devices, replacing traditional remote controllers. This mediator translates physical gestures into control commands, providing a more intuitive and unified control experience.
2Ease of operation
If infrared light intensity is used to determine hand position for controlling light attributes, then remote control without controller is achieved, but the control is relatively inaccurate as intensity heavily depends on the kind of object moved in the beam
Solution Approach 1:
The system replaces the infrared intensity-based measurement with a video sensor-based gesture recognition system. Instead of measuring infrared light reflection intensity, the system captures video frames, extracts depth information, and recognizes gesture patterns, providing more accurate and object-independent control.
Solution Approach 2:
The system transitions from one-dimensional infrared intensity measurement to three-dimensional gesture recognition by utilizing depth information from video frames. This dimensional expansion allows for more precise spatial understanding and gesture differentiation, improving control accuracy.
3Ease of operation
If hand position controls only one attribute of light, then simple control is achieved, but complicated gestures cannot be differentiated and recognized
Solution Approach 1:
The system segments the gesture recognition process into distinct components: hand detection, gesture pattern recognition, and attribute mapping. By dividing the control space into multiple attributes (brightness, color temperature, dimming speed) and assigning different gesture types to control different attributes, the system achieves both simplicity and versatility.
Solution Approach 2:
The system dynamically maps gestures to controllable attributes based on the recognized gesture type. Different gestures can control different attributes, and the system adapts its response based on the specific gesture pattern detected, enabling versatile control while maintaining intuitive operation.
4Measurement precision
If the user needs to face toward the sensor for control, then accurate gesture detection is achieved, but control becomes anti-intuitive when light and sensor are separated by large distance or wide angle
Solution Approach 1:
The system utilizes three-dimensional depth information from video frames to determine gesture direction and target object, rather than relying solely on two-dimensional image plane analysis. This enables the system to accurately interpret gestures even when the user is not directly facing the sensor, as depth data provides spatial context about the gesture's orientation and target.
Solution Approach 2:
The video sensor serves multiple functions: it detects gestures, determines hand position in three-dimensional space, identifies the target lighting device, and controls multiple light attributes. This multi-functional approach maintains accurate detection while enabling intuitive control from various positions and angles.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise and intuitive control of lighting devices in three-dimensional space, allowing single gestures to control multiple attributes and reducing the need for direct line of sight, thus improving user experience and reducing the complexity of controlling multiple devices.
Implementation Method 1
emitting an infrared light onto at least a part of the object and at least a part of the environment
Implementation Method 2
collecting the infrared light reflected by at least the part of the object
Data Source
AI summary
There is herein described a light output control method for a controlling a lighting device by a motion of an object near an environment, the lighting device comprising a video sensor and a light-emitting unit, the light output control method comprising steps of emitting an infrared light onto at least a part of the object and at least a part of the environment, collecting the infrared light reflected by at least the part of the object and at least the part the environment as a two-dimensional depth data sequence of the video sensor, computing the motion of the object by utilizing the two-dimensional depth data sequence, and controlling the light-emitting unit to change an attribute of the output light if the motion of the object complies with a predetermined condition.