This study explores an artificial intelligence approach for detecting Bahasa Melayu using a ready-to-use machine learning framework-Google Teachable Machine. By ...
May 6, 2024 · We evaluate the proposed method using data collected from 10 users and our proposed solution achieves an average recognition accuracy of 99.7%.
This study explores an artificial intelligence approach for detecting Bahasa Melayu using a ready-to-use machine learning framework-Google. Teachable Machine.
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May 8, 2024 · Learning Rate Optimization for Enhanced Hand Gesture Recognition using Google Teachable Machine. ICCSCE 2023: 332-337; 2022. [c5]. view.
... Google Teachable Machine a free web tool of machine learning ... Learning Rate Optimization for Enhanced Hand Gesture Recognition using Google Teachable Machine.
May 3, 2020 · First thing is you need data set, Its hard to find. Its up to you, weather you want to generate or find on internet.
This project implements a real-time hand gesture recognition system that identifies and classifies nine distinct hand gestures. It utilizes TensorFlow.js ...
In this study, we investigated the effects of learning frequency, batch size, and learning rate, which are machine learning variables of the Teachable Machine ...
Missing: Gesture | Show results with:Gesture
(PDF) The Impact of Teachable Machine on Middle School ...
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May 25, 2024 · The purpose of this research is to identify the potential educational uses of the Teachable Machine (TM) and to provide a systematic framework ...
An on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera, and creates two ...