Wearable Gesture Detection Prototype

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@sahilk2603

As an AI and ML enthusiast, I am completely excited about your project and confident that I have the required skills and experience to tackle it head-on. My proficiency in Python and track record in building, tuning, and optimizing machine learning models will be invaluable in implementing and fine-tuning the OpenCV features for robust gesture detection under varying lighting conditions - notably exceeding your requested 95% accuracy. Moreover, my familiarity with various web development frameworks including React demonstrates my ability to work efficiently with complex systems like yours. I understand the importance of clean coding, comprehensive documentation, and prompt delivery – all integral aspects of a high-precision task such as this. Though I may not have direct hardware experience as outlined in the bonus criteria, my AI/ML background has often necessitated dealing with diverse data sources in varying contexts requiring unique calibration – a skill that will definitely come into play as we intelligently combine vision and touch data for precise HID event transmission. So confident am I in my abilities to bring your project to goal, assuming leadership in case necessary

@CodeniaTechno

Hello mohitsagar7pro, We are Codenia Technologies LLP, with over 10 years of experience in Embedded Software, Embedded Systems, Computer Vision, and Python. We have carefully reviewed your project requirements for the Wearable Gesture Detection Prototype. To ensure the success of this project, we propose to implement and fine-tune robust OpenCV routines for gesture detection under varying lighting conditions. We will integrate the recognition results into the Bluetooth HID profile, map gestures to predefined keycodes, and combine vision and touch data intelligently. Our team will provide concise build instructions and a demo video showcasing the system in action. We would like to connect with you to discuss your project further. Thanks, Rupesh Kumar

@uttiugesh

Hi, I have 7 years of experience in Python and have worked on different algorithm designs and developments. Have good experience in machine learning and AI and implementation. Proposal from my side: - Gesture Detection: Implementation of OpenCV routines with preprocessing (CLAHE, gamma correction, and color constancy) and contour/landmark analysis for reliable recognition. - Sensor Fusion: Wire up touch/proximity sensors, and apply weighted fusion with hysteresis to minimize false positives. - Bluetooth HID Integration: Configure HID over GATT or UHID interface, mapping gestures to predefined keycodes (e.g., play/pause, next/previous track, enter, escape). - Documentation & Demo: Supply concise build instructions (CMake, OpenCV, BlueZ setup) and record a short demo video showing the wearable driving a host device. Deliverables: - Source code (C++17, OpenCV, BlueZ integration). - Sensor fusion module with configurable weights. - HID mapping table and implementation. - Build instructions (Linux environment). - Demo video (gesture → HID event on host). I’d be glad to discuss your specific requirements, preferred gestures, and target host devices. Once finalized, I can begin immediately and deliver a robust, production‑ready solution. Best regards, Ugesh Utti Senior Software Engineer | Automotive ADAS & Embedded Systems