Results 31 to 40 of about 4,892 (216)
Personalized Gym Trainer Using Mediapipe
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: With the growing demand in personalised fitness experiences, this paper takes a fresh look at home workouts by creating a Personalised Gym Trainer with the Mediapipe library. This sophisticated device combines pose detection technology with voice assistance to provide users with real-time feedback and personalised instruction while exercising.
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Mediapipe and CNNs for Real-Time ASL Gesture Recognition
CoRR, 2023 5 pages, 6 figures, 2 ...
Rupesh Kumar +2 more
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Accuracy Improvement of Real-Time Driver Drowsiness Detection Using Transformer Model [PDF]
Journal of Artificial Intelligence and Data MiningDrowsiness remains a significant challenge for drivers, often resulting from extended working hours, inadequate sleep, and accumulated fatigue. This condition not only impairs reaction time and decision-making but also contributes to a substantial number
Havva Askari +2 more
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Journal of Applied Informatics and ComputingWith the advancement of technology, human-robot interaction (HRI) is becoming more intuitive, including through hand gesture-based control. This study aims to develop a real-time hand gesture recognition system to control a quadcopter swarm within a ...
Ryan Satria Wijaya +3 more
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Real-Time Norwegian Sign Language Recognition Using MediaPipe and LSTM
Multimodal Technologies and InteractionThe application of machine learning models for sign language recognition (SLR) is a well-researched topic. However, many existing SLR systems focus on widely used sign languages, e.g., American Sign Language, leaving other underrepresented sign languages
Md. Zia Uddin +2 more
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MediaPipe with GNN for Human Activity Recognition
JUCS - Journal of Universal Computer ScienceHuman interaction and computer vision converge in the realm of Human Activity Recognition (HAR), which is a research field dedicated to the creation of automated systems capable of observing and categorizing human activities. This domain closely aligns with machine learning, involving the development of algorithms and models adept at learning to ...
Nozha Jlidi +3 more
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IEEE AccessEarly detection of stroke is critical for improving survival rates and recovery. This study presents an innovative approach to stroke diagnosis through the analysis of facial landmarks combining MediaPipe’s facial landmark detection with advanced machine
Reshad Ul Karim +5 more
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AirStrum: A virtual guitar using real-time hand gesture recognition and strumming technique [PDF]
Revista Română de Informatică și AutomaticăThe efforts in the field of virtualizing the guitar into well-modelled software systems have faced a lot of practical limitations. The existing guitar simulation programs require additional devices such as Electromyography (EMG) controllers, or Musical ...
Beulah ARUL +2 more
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ViSL One-shot: generating Vietnamese sign language data set
Научно-технический вестник информационных технологий, механики и оптикиThe development of methods for automatic recognition of objects in a video stream, in particular, recognition of sign language, requires large amounts of video data for training. An established method of data enrichment for machine learning is distortion
K. Dang, I. A. Bessmertny
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Hand Gesture Recognition Using MediaPipe Landmarks and Deep Learning Networks
International Conference on Agents and Artificial Intelligence: Advanced Human Computer Interaction techniques are commonly used in multiple application areas, from entertainment to rehabilitation. In this context, this paper proposes a framework to recognize hand gestures using a limited number of landmarks from ...
M. Gil-Martín +4 more
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