Controlling Interfaces
Developing a gesture-based control system for intuitive device interaction, leveraging image processing and hand tracking technologies.
Controlling Interfaces
Developing a gesture-based control system for intuitive device interaction, leveraging image processing and hand tracking technologies.
Controlling Interfaces
Developing a gesture-based control system for intuitive device interaction, leveraging image processing and hand tracking technologies.
Project
Graduate Research
Role
Researcher & Engineer
Year
2022 - 2023
Situation
In my pursuit of a PhD focused in-part on human-machine interfaces, I aim to create more naturalistic control methods for machines and robots. My research involves developing gesture-based control systems that leverage image processing and hand tracking technologies to enhance the natural interaction between users and their devices, ultimately improving the user experience.
Task
My task was to develop an application that leverages advanced computer vision and machine learning to translate hand gestures into intuitive device control commands. The project aimed to harness the capabilities of C++, Python, and OpenCV to create a gesture-based volume control system, enhancing the natural interaction between users and their devices.
Task
My task was to develop an application that leverages advanced computer vision and machine learning to translate hand gestures into intuitive device control commands. The project aimed to harness the capabilities of C++, Python, and OpenCV to create a gesture-based volume control system, enhancing the natural interaction between users and their devices.
Gesture Control Development
Created a program for real-time video analysis to recognize specific hand gestures, utilizing OpenCV and MediaPipe's hand tracking algorithms to enable intuitive device interaction.
Gesture Control Development
Created a program for real-time video analysis to recognize specific hand gestures, utilizing OpenCV and MediaPipe's hand tracking algorithms to enable intuitive device interaction.
Gesture Control Development
Created a program for real-time video analysis to recognize specific hand gestures, utilizing OpenCV and MediaPipe's hand tracking algorithms to enable intuitive device interaction.
Image Processing Enhancement
Employed advanced computer vision techniques to enhance image processing capabilities for gesture recognition, improving the system's responsiveness to user commands.
Image Processing Enhancement
Employed advanced computer vision techniques to enhance image processing capabilities for gesture recognition, improving the system's responsiveness to user commands.
Image Processing Enhancement
Employed advanced computer vision techniques to enhance image processing capabilities for gesture recognition, improving the system's responsiveness to user commands.
User Experience Improvement
Designed and implemented a gesture-based volume control system to provide users with a more engaging and natural interaction experience with their devices.
User Experience Improvement
Designed and implemented a gesture-based volume control system to provide users with a more engaging and natural interaction experience with their devices.
User Experience Improvement
Designed and implemented a gesture-based volume control system to provide users with a more engaging and natural interaction experience with their devices.
Machine Learning Integration
Leveraged machine learning algorithms to ensure accurate recognition of hand gestures, enhancing the precision and reliability of the control system.
Machine Learning Integration
Leveraged machine learning algorithms to ensure accurate recognition of hand gestures, enhancing the precision and reliability of the control system.
Machine Learning Integration
Leveraged machine learning algorithms to ensure accurate recognition of hand gestures, enhancing the precision and reliability of the control system.
Innovative Interaction
Developed technology that allows users to control their devices through intuitive hand gestures, contributing to the advancement of human-machine interfaces.
Innovative Interaction
Developed technology that allows users to control their devices through intuitive hand gestures, contributing to the advancement of human-machine interfaces.
Result
The research led to the development of an intuitive gesture-based volume control application that improved the natural interaction between users and their devices. This technology contributed to the advancement of human-machine interfaces, enhancing the overall user experience. This academic endeavor showcased the feasibility of gesture-based control systems and their potential impact on user-device interactions.
See Code
Result
The research led to the development of an intuitive gesture-based volume control application that improved the natural interaction between users and their devices. This technology contributed to the advancement of human-machine interfaces, enhancing the overall user experience. This academic endeavor showcased the feasibility of gesture-based control systems and their potential impact on user-device interactions.
See Code
Made by
Good
Humans.
Situation
In my pursuit of a PhD focused in-part on human-machine interfaces, I aim to create more naturalistic control methods for machines and robots. My research involves developing gesture-based control systems that leverage image processing and hand tracking technologies to enhance the natural interaction between users and their devices, ultimately improving the user experience.
Situation
In my pursuit of a PhD focused in-part on human-machine interfaces, I aim to create more naturalistic control methods for machines and robots. My research involves developing gesture-based control systems that leverage image processing and hand tracking technologies to enhance the natural interaction between users and their devices, ultimately improving the user experience.
Situation
In my pursuit of a PhD focused in-part on human-machine interfaces, I aim to create more naturalistic control methods for machines and robots. My research involves developing gesture-based control systems that leverage image processing and hand tracking technologies to enhance the natural interaction between users and their devices, ultimately improving the user experience.
Situation
In my pursuit of a PhD focused in-part on human-machine interfaces, I aim to create more naturalistic control methods for machines and robots. My research involves developing gesture-based control systems that leverage image processing and hand tracking technologies to enhance the natural interaction between users and their devices, ultimately improving the user experience.
Innovative Interaction
Developed technology that allows users to control their devices through intuitive hand gestures, contributing to the advancement of human-machine interfaces.
Innovative Interaction
Developed technology that allows users to control their devices through intuitive hand gestures, contributing to the advancement of human-machine interfaces.
Result
The research led to the development of an intuitive gesture-based volume control application that improved the natural interaction between users and their devices. This technology contributed to the advancement of human-machine interfaces, enhancing the overall user experience. This academic endeavor showcased the feasibility of gesture-based control systems and their potential impact on user-device interactions.
See Code
Result
The research led to the development of an intuitive gesture-based volume control application that improved the natural interaction between users and their devices. This technology contributed to the advancement of human-machine interfaces, enhancing the overall user experience. This academic endeavor showcased the feasibility of gesture-based control systems and their potential impact on user-device interactions.
See Code