Enhancing HCI Through Real-Time Gesture Recognition with Federated CNNs: Improving Performance and Responsiveness.
RS Maragatham, YA Baker El-Ebiary… - International …, 2024 - search.ebscohost.com
To facilitate smooth human-computer interaction (HCI) in a variety of contexts, from
augmented reality to sign language translation, real-time gesture detection is essential. In
this paper, researchers leverage federated convolutional neural networks (CNNs) to present
a novel strategy that tackles these issues. By utilizing federated learning, authors may
cooperatively train a global CNN model on several decentralized devices without sharing
raw data, protecting user privacy. Using this concept, researchers create a federated CNN …
augmented reality to sign language translation, real-time gesture detection is essential. In
this paper, researchers leverage federated convolutional neural networks (CNNs) to present
a novel strategy that tackles these issues. By utilizing federated learning, authors may
cooperatively train a global CNN model on several decentralized devices without sharing
raw data, protecting user privacy. Using this concept, researchers create a federated CNN …
Enhancing HCI Through Real-Time Gesture Recognition with Federated CNNs: Improving Performance and Responsiveness
To facilitate smooth human-computer interaction (HCI) in a variety of contexts, from
augmented reality to sign language translation, real-time gesture detection is essential. In
this paper, researchers leverage federated convolutional neural networks (CNNs) to present
a novel strategy that tackles these issues. By utilizing federated learning, authors may
cooperatively train a global CNN model on several decentralized devices without sharing
raw data, protecting user privacy. Using this concept, researchers create a federated CNN …
augmented reality to sign language translation, real-time gesture detection is essential. In
this paper, researchers leverage federated convolutional neural networks (CNNs) to present
a novel strategy that tackles these issues. By utilizing federated learning, authors may
cooperatively train a global CNN model on several decentralized devices without sharing
raw data, protecting user privacy. Using this concept, researchers create a federated CNN …