首页|Data on Machine Learning Discussed by a Researcher at Department of Digital Medi a (Machine Learning-Based Hand Pose Generation Using a Haptic Controller)
Data on Machine Learning Discussed by a Researcher at Department of Digital Medi a (Machine Learning-Based Hand Pose Generation Using a Haptic Controller)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Seou l, South Korea, by NewsRx correspondents, research stated, "In this study, we pr esent a novel approach to derive hand poses from data input via a haptic control ler, leveraging machine learning techniques." Funders for this research include Institute of Information And Communications Te chnology Planning And Evaluation; Seoul Women's University. Our news reporters obtained a quote from the research from Department of Digital Media: "The input values received from the haptic controller correspond to the movement of five fingers, each assigned a value between 0.0 and 1.0 based on the applied pressure. The wide array of possible finger movements requires a substa ntial amount of motion capture data, making manual data integration difficult. T his challenge is primary due to the need to process and incorporate large volume s of diverse movement information. To tackle this challenge, our proposed method automates the process by utilizing machine learning algorithms to convert hapti c controller inputs into hand poses. This involves training a machine learning m odel using supervised learning, where hand poses are matched with their correspo nding input values, and subsequently utilizing this trained model to generate ha nd poses in response to user input."
Department of Digital MediaSeoulSout h KoreaAsiaCyborgsEmerging TechnologiesMachine Learning
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