Description:.

INTUITIVE HAND GESTURE-CONTROLLED LED LIGHTING SYSTEM

Field of the Invention

Generally, the present disclosure relates to lighting control systems. Particularly, the present disclosure relates to a hand gesture control system for LED lighting.
Background
The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
The modern era has witnessed a significant transformation in lighting technologies with the introduction of LED lighting systems. These systems have not only revolutionized energy consumption patterns but have also introduced unprecedented flexibility in terms of lighting control and customization. Traditionally, lighting systems were primarily controlled through physical switches or digital applications, necessitating direct interaction or device dependency. Despite the advancements in lighting technology, the quest for more intuitive and natural user interaction methods with lighting systems continues.
Hand gesture recognition has emerged as a groundbreaking approach in enhancing human-device interaction. By leveraging camera feeds and sensor inputs, systems are now capable of detecting and interpreting specific hand movements, thereby translating human gestures into actionable commands. Such advancements have paved the way for more natural, and user-friendly interfaces across various technological domains. However, integrating hand gesture recognition with lighting control presents its unique set of challenges. Accuracy in gesture detection and the need for real-time processing to achieve seamless interaction are among the primary concerns.
Moreover, the development of a comprehensive system that not only accurately recognizes hand gestures but also effectively maps these gestures to specific lighting control commands requires sophisticated algorithmic frameworks. The existing solutions often fall short in providing real-time feedback to users, an essential feature for ensuring user confidence and system reliability.
In light of the above discussion, there exists an urgent need for solutions that overcome the limitations associated with conventional methods for controlling LED lighting systems. The proposed hand gesture control system for LED lighting addresses these challenges by offering an innovative approach to lighting control through intuitive user gestures, thereby enhancing the overall user experience.
Summary
The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
The following paragraphs provide additional support for the claims of the subject application.
The In an aspect, the present disclosure provides a hand gesture control system for LED lighting. The system comprises a sensor configuration for detecting user hand gestures, a computer vision unit for recognizing and processing said hand gestures from a camera feed, a mapping module for associating specific hand gestures with lighting control commands for an LED lighting system, an LED control module for adjusting brightness, changing colors, or toggling the LED lighting system on or off, and a user interface for providing real-time feedback on recognized hand gestures and corresponding actions. The integration of hand gesture detection with LED lighting control introduces an intuitive and user-friendly method for interacting with lighting systems, enhancing the user experience by enabling simple and efficient lighting adjustments.
The system is further characterized by a sensor configuration that includes one or more cameras capable of capturing multi-dimensional images of the user's hand gestures. The use of machine learning techniques in the computer vision algorithm facilitates the improvement of gesture recognition over time. Moreover, the system allows for the customization of hand gestures and corresponding LED lighting control commands by the user, thereby offering personalized interaction with the lighting system. The LED control module is designed to conserve energy by adjusting the lighting based on user-defined settings or environmental conditions. Feedback to the user is provided through visual signals, auditory cues, or haptic feedback, thus ensuring clear and effective communication regarding the system's actions.
In another aspect, a method for controlling an LED lighting system using the hand gesture control system is described. This method involves configuring a plurality of sensors to detect user hand gestures, processing the detected gestures using a computer vision algorithm to recognize them, mapping the recognized gestures to specific lighting control commands, sending these commands to the LED lighting system, and providing feedback to the user based on the performed gestures and the actions taken by the system. The method includes the adjustment of brightness levels, changing of light colors, or toggling the LED lights on or off based on the performed gesture, with the provision of feedback including displaying visual confirmation on the user interface. Additionally, the method encompasses the calibration of the sensor configuration to optimize gesture recognition under various lighting conditions.

Brief Description of the Drawings

The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
FIG. 1 illustrates a block diagram of a hand gesture control system (100) for an LED lighting system, in accordance with the embodiments of the present disclosure.
FIG. 2 illustrates a method (200) for controlling an LED lighting system using a hand gesture control system (100), in accordance with the embodiments of the present disclosure.
FIG. 3 illustrates a flow diagram outlining the sequence of operations within a system, in accordance with the embodiments of the present disclosure.

Detailed Description
In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
The term "hand gesture control system for LED lighting" as used throughout the present disclosure refers to a comprehensive system designed to control LED lighting installations through the interpretation of user hand gestures. This system incorporates a sensor configuration for detecting such gestures, a computer vision unit for recognizing and processing the gestures from a camera feed, a mapping module for associating specific gestures with corresponding lighting control commands, an LED control module for executing these commands to adjust various aspects of the LED lighting such as brightness, color, or power state, and a user interface for providing feedback to the user about the recognized gestures and the resultant actions on the LED lighting system. The system facilitates an intuitive and efficient method for users to interact with LED lighting environments, enhancing user experience through natural gesture-based interactions.
The term "sensor configuration" as used throughout the present disclosure relates to an assembly or arrangement of sensors designed to detect hand gestures made by a user. The sensor configuration may include various types of sensors, including but not limited to cameras, infrared sensors, and motion detectors, capable of capturing a wide range of hand movements in different environments.
The term "computer vision unit" as used throughout the present disclosure refers to a computing system or module equipped with software algorithms that analyze images from the sensor configuration to recognize and process hand gestures. The computer vision unit utilizes techniques from the fields of machine learning and image processing to accurately identify specific hand gestures from the camera feed.
The term "mapping module" as used throughout the present disclosure denotes a component or software logic that interprets recognized hand gestures and associates them with corresponding lighting control commands for an LED lighting system. The mapping module enables the translation of hand gestures into commands such as adjusting brightness levels, changing light colors, or toggling the LED lighting system on or off.
The term "LED control module" as used throughout the present disclosure relates to a control system or circuitry that receives lighting control commands from the mapping module and executes these commands to adjust the LED lighting system. The LED control module is responsible for controlling the LED lighting system's operational states, including brightness adjustment, color change, and power status (on/off).
The term "user interface" as used throughout the present disclosure pertains to a component or software that provides real-time feedback to the user about the recognized hand gestures and the actions taken by the LED lighting system based on those gestures. The user interface may include visual displays, auditory signals, or haptic feedback mechanisms to communicate the system's response to the user's hand gestures.
FIG. 1 illustrates a block diagram of a hand gesture control system (100) for an LED lighting system, in accordance with the embodiments of the present disclosure. The system (100) includes a sensor (102), a computer vision unit (104), a mapping module (106), an LED control module (108), and a user interface (110). The sensor (102) is configured to detect hand gestures of a user. A plurality of sensors may be employed, each calibrated to capture nuanced hand movements in varying environmental conditions. The detected gestures are then processed by the computer vision unit (104), which employs a sophisticated algorithm to recognize and categorize the gestures. Said computer vision unit (104) utilizes advanced image processing techniques, potentially improved over time by machine learning algorithms. Following recognition, gestures are mapped to lighting control commands by the mapping module (106). Such mapping facilitates the customization of gestures to correspond with specific commands executed by the LED control module (108). The module (108) is responsive to said commands, effecting alterations in brightness, color, and power state of the LED lighting system. Feedback regarding the recognition of hand gestures and resultant actions taken by the system is provided through the user interface (110). Said interface (110) employs various methods such as visual signals, auditory cues, or haptic feedback to communicate with the user, ensuring an intuitive and responsive interaction with the LED lighting system. The arrangement of the modules within the system (100) is designed to achieve efficient and user-responsive lighting control, enhancing the ambient environment of the user through simple, gesture-based interactions.
In an embodiment, the sensor configuration (102) is notably enhanced by incorporating one or more cameras designed to capture multi-dimensional images of the user's hand gestures. This inclusion facilitates a richer input for the computer vision unit, enabling it to discern gestures with greater precision and detail. By leveraging multi-dimensional imaging, the system is adept at recognizing a wide array of hand gestures across various environmental conditions, thereby ensuring robust operation. The cameras are strategically positioned to optimize coverage and sensitivity to hand movements, enabling the system to accurately interpret gestures for controlling the LED lighting system. This configuration exemplifies a significant advancement in sensor technology, focusing on capturing comprehensive visual data that is critical for the effective operation of the hand gesture control system.
In another embodiment, the System (100) significantly advances the field of gesture recognition by integrating a computer vision algorithm that employs machine learning techniques. This innovative approach enables the system to continually improve its gesture recognition capabilities over time. Through exposure to a vast array of gesture data, the algorithm refines its parameters, enhancing its ability to accurately interpret user hand gestures. This dynamic learning process is a cornerstone of the system's design, ensuring adaptability and increased accuracy in gesture recognition, thereby providing a more intuitive and responsive user experience. The application of machine learning techniques represents a forward-thinking method for developing more intelligent and user-centric control systems for LED lighting.
In yet another embodiment, the mapping module (106) stands out for its user-centric design, offering unparalleled flexibility in how hand gestures are interpreted and utilized to control LED lighting. This module allows users to customize which gestures correspond to specific lighting control commands, such as adjusting brightness, changing colors, or toggling the lights on and off. This capability not only enhances the personalization of the lighting system but also empowers users to create a control scheme that aligns with their preferences and habits. The mapping module (106) embodies the system's commitment to adaptability and user satisfaction, highlighting its innovative approach to interaction between humans and their environment.
In an embodiment, the LED control module (108) in the System (100) introduces a novel approach to energy conservation in LED lighting systems. By adjusting lighting settings based on user-defined parameters and environmental conditions, this module ensures optimal energy usage without compromising on user comfort or lighting quality. This functionality includes dimming lights when not needed, changing colors to more energy-efficient hues, or automatically turning off lights in unoccupied spaces. The integration of these energy-saving features signifies the system's contribution to sustainable living practices, showcasing how advanced technology can be leveraged to both enhance user experience and promote environmental responsibility.
In an embodiment, the user interface (110) of the System (100) is ingeniously designed to communicate with users through a variety of feedback mechanisms, including visual signals, auditory cues, and haptic feedback. This multi-modal feedback system ensures that users are well-informed of the system's recognition of their gestures and the corresponding actions taken by the LED lighting system. Whether it's a visual confirmation of a command, an auditory acknowledgment of a gesture, or haptic feedback signaling a system response, the user interface (110) makes interactions with the LED lighting system more engaging and informative. This approach to feedback not only enhances user confidence in the system's reliability but also enriches the overall user experience by making the technology more accessible and intuitive.
FIG. 2 illustrates a method (200) for controlling an LED lighting system using a hand gesture control system (100), in accordance with the embodiments of the present disclosure. The method comprising following steps: Step (202), configuring a plurality of sensors to detect user hand gestures; This step involves setting up and calibrating sensors capable of capturing the nuances of hand movements, ensuring a seamless interface for gesture-based lighting control. In step (204), processing the detected hand gestures using a computer vision algorithm to recognize the hand gestures; The detected gestures are analyzed by a computer vision algorithm, which categorizes different gestures into identifiable commands through advanced image processing and machine learning techniques. Step (206), mapping the recognized hand gestures to specific lighting control commands; This stage translates recognized gestures into actionable commands for the LED lighting system, allowing users to personalize their interaction by assigning specific gestures to desired lighting adjustments. In step (208), sending the lighting control commands to the LED lighting system; The system communicates the interpreted commands to the LED lighting system, effectuating immediate adjustments to the lighting based on the user's gestures. Step (210), providing feedback to the user through a user interface (110) based on the hand gestures performed and the actions taken by the LED lighting system. The user interface (110) offers real-time feedback to users, including visual, auditory, or haptic signals, confirming the system’s reception and interpretation of gestures, as well as the successful implementation of lighting changes.
In an embodiment, the method for controlling an LED lighting system using a hand gesture control system (100), the process of mapping the recognized hand gestures encompasses a pivotal feature where the system adjusts brightness levels, changes light colors, or toggles the LED lights on or off based on the specific gestures performed by the user. This functionality demonstrates the system's ability to interpret user intentions accurately and translate them into precise lighting adjustments. By enabling users to customize their interactions with the LED lighting system, this aspect of the method enhances the overall user experience. For instance, a simple gesture could dim the lights for a movie night, another could change the room's ambiance with color, and yet another could turn the lights off when leaving the room, all without touching a physical switch. This innovative approach not only adds convenience but also promotes energy efficiency by allowing for the precise control of lighting based on actual need and preference.
In another embodiment, providing feedback to the user through the user interface (110) is further refined to include the display of visual confirmation corresponding to the recognized hand gesture. This enhancement to the user interface (110) plays a crucial role in reinforcing the interaction between the user and the lighting system. Visual confirmations can range from simple icons or text on a display indicating the recognized gesture to more complex representations such as animations mirroring the gesture's intent. This feature ensures that users receive immediate and clear acknowledgment of their commands, significantly reducing errors in command interpretation and increasing user satisfaction. It embodies a thoughtful integration of user interface design with gesture recognition technology, making the control of lighting through hand gestures not only intuitive but also engaging.
In yet another embodiment, the method for controlling an LED lighting system via a hand gesture control system (100) is further enhanced by including a step for calibrating the sensor configuration (102) to optimize gesture recognition across various lighting conditions. This calibration process is critical for ensuring the system's reliability and responsiveness, regardless of the ambient light levels in the environment. By adjusting the sensitivity and parameters of the sensors (102), the system can accurately detect and interpret hand gestures in environments ranging from bright daylight to dimly lit rooms. This adaptability is essential for a gesture-based control system, as it ensures consistent performance and user experience regardless of external factors. Calibration might involve automatic adjustments by the system or manual settings configured by the user, providing a level of customization that caters to the unique needs of different usage scenarios. This proactive approach to sensor optimization highlights the system's sophistication and its ability to provide seamless interaction between the user and the LED lighting system under diverse conditions.
FIG. 3 illustrates a flow diagram outlining the sequence of operations within a system, in accordance with the embodiments of the present disclosure. The flow diagram outlining the sequence of operations within a system that is configured to translate gestures into commands that control an output, specifically LEDs, and provide user feedback. The sensors are configured to accurately capture gestures made by the user. Once the sensors are configured, the system moves to the next phase which involves detecting gestures. Subsequent to the detection of gestures, the system processes the signals, which involves interpreting the raw data from the sensors to identify the specific gestures performed. The system distinguishes one gesture from another based on the data received from the sensors. Following signal processing, the system maps the identified gestures to specific commands. The mapping is essential for translating the human gestures into machine-readable instructions. In this context, the commands are linked to the operation of LEDs. The next operational phase involves controlling LEDs. Based on the commands received from the gesture-to-command mapping, the LEDs are manipulated accordingly. This control can involve turning the LEDs on or off, changing their colors, adjusting brightness, or other functions as predefined by the system's capabilities.
The hand gesture control system (as disclosed in present disclosure) provides an intuitive method for manipulating LED lighting, enabling effortless adjustment through natural hand movements. The system offers the advantage of hands-free operation, which significantly enhances convenience and accessibility, especially beneficial for individuals with limited mobility or when multitasking is necessary. Traditional methods often require intricate steps for adjustments, whereas this gesture-based system allows for precise and instant changes to lighting settings, leading to greater user satisfaction. The system promotes responsible energy use by allowing an easy dimming or shutting off of lights when not in use, contributing to cost savings and environmental preservation. Its versatility is notable as well, with the ability to consistently perform in different lighting situations and environments, be it indoor, outdoor, or in areas where light levels fluctuate. Furthermore, system also improves the aesthetic of the environment by removing the need for visible switches or controls, presenting a cleaner and more cohesive design
Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims

I/We claim:

A hand gesture control system (100) for LED lighting comprising:
a) a sensor (102) configuration for detecting user hand gestures;
b) a computer vision unit (104) configured to recognize and process said hand gestures from a camera feed;
c) a mapping module (106) configured to associate specific hand gestures with lighting control commands for an LED lighting system;
d) an LED control module (108) responsive to the lighting control commands for adjusting brightness, changing colors, or toggling the LED lighting system on or off; and
e) a user interface (110) configured to provide real-time feedback regarding recognized hand gestures and the corresponding LED lighting system actions.
The system (100) of claim 1, wherein the sensor (102) configuration includes one or more cameras capable of capturing multi-dimensional images of the user's hand gestures.
The system (100) of claim 1, wherein the computer vision algorithm utilizes machine learning techniques to improve gesture recognition over time.
The system (100) of claim 1, wherein the mapping module (106) allows customization of hand gestures and corresponding LED lighting control commands by the user.
The system of claim 1, wherein the LED control module (108) is further configured to save energy by adjusting the LED lighting system based on user-defined settings or environmental conditions.
The system (100) of claim 1, wherein the user interface (110) provides feedback through at least one of the following methods: visual signals, auditory cues, or haptic feedback.
A method for controlling an LED lighting system using a hand gesture control system (100), the method comprising:
a) configuring a plurality of sensors to detect user hand gestures;
b) processing the detected hand gestures using a computer vision algorithm to recognize the hand gestures;
c) mapping the recognized hand gestures to specific lighting control commands;
d) sending the lighting control commands to the LED lighting system; and
e) providing feedback to the user through a user interface (110) based on the hand gestures performed and the actions taken by the LED lighting system.
The method of claim 7, wherein mapping the recognized hand gestures includes adjusting brightness levels, changing light colors, or toggling the LED lights on or off based on the gesture performed.
The method of claim 7, wherein providing feedback includes displaying a visual confirmation on the user interface (110) corresponding to the recognized hand gesture.
The method of claim 7, further comprising the step of calibrating the sensor (102) configuration to optimize gesture recognition in various lighting conditions.

INTUITIVE HAND GESTURE-CONTROLLED LED LIGHTING SYSTEM

The present disclosure provides a hand gesture control system for LED lighting comprising a sensor configuration for detecting user hand gestures, a computer vision unit configured to recognize and process these hand gestures from a camera feed, a mapping module configured to associate specific hand gestures with lighting control commands for an LED lighting system, an LED control module responsive to the lighting control commands for adjusting brightness, changing colors, or toggling the LED lighting system on or off, and a user interface configured to provide real-time feedback regarding recognized hand gestures and the corresponding LED lighting system actions.

Drawings
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FIG. 1
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FIG. 2
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FIG. 3
, Claims:I/We claim:

A hand gesture control system (100) for LED lighting comprising:
a) a sensor (102) configuration for detecting user hand gestures;
b) a computer vision unit (104) configured to recognize and process said hand gestures from a camera feed;
c) a mapping module (106) configured to associate specific hand gestures with lighting control commands for an LED lighting system;
d) an LED control module (108) responsive to the lighting control commands for adjusting brightness, changing colors, or toggling the LED lighting system on or off; and
e) a user interface (110) configured to provide real-time feedback regarding recognized hand gestures and the corresponding LED lighting system actions.
The system (100) of claim 1, wherein the sensor (102) configuration includes one or more cameras capable of capturing multi-dimensional images of the user's hand gestures.
The system (100) of claim 1, wherein the computer vision algorithm utilizes machine learning techniques to improve gesture recognition over time.
The system (100) of claim 1, wherein the mapping module (106) allows customization of hand gestures and corresponding LED lighting control commands by the user.
The system of claim 1, wherein the LED control module (108) is further configured to save energy by adjusting the LED lighting system based on user-defined settings or environmental conditions.
The system (100) of claim 1, wherein the user interface (110) provides feedback through at least one of the following methods: visual signals, auditory cues, or haptic feedback.
A method for controlling an LED lighting system using a hand gesture control system (100), the method comprising:
a) configuring a plurality of sensors to detect user hand gestures;
b) processing the detected hand gestures using a computer vision algorithm to recognize the hand gestures;
c) mapping the recognized hand gestures to specific lighting control commands;
d) sending the lighting control commands to the LED lighting system; and
e) providing feedback to the user through a user interface (110) based on the hand gestures performed and the actions taken by the LED lighting system.
The method of claim 7, wherein mapping the recognized hand gestures includes adjusting brightness levels, changing light colors, or toggling the LED lights on or off based on the gesture performed.
The method of claim 7, wherein providing feedback includes displaying a visual confirmation on the user interface (110) corresponding to the recognized hand gesture.
The method of claim 7, further comprising the step of calibrating the sensor (102) configuration to optimize gesture recognition in various lighting conditions.

INTUITIVE HAND GESTURE-CONTROLLED LED LIGHTING SYSTEM