This paper proposes a novel approach to recognizing dynamic hand gestures facilitating seamless interaction between humans and robots. Here, each robot manipulator task is assigned a specific gesture.

In response, this paper introduces a pioneering game-based approach to rehabilitation, leveraging posture detection technology. Materials and Methods: A game-based rehabilitation system was developed ...

Once the required hand gesture was identified from the sEMG signal, interpretation of the gesture into individual fingers joint angles was done using cubic polynomial path-planning algorithm. These ...

Ultrasound images of the forearm can be used to classify hand gestures towards developing human machine interfaces. In our previous work, we have demonstrated gesture classification using ultrasound ...

Hand gesture recognition for the control of rehabilitation and assistive technologies is still a field to be explored. This study investigated the effectiveness of different methods for classifying ...

Hand gesture recognition (HGR) based on high-density surface electromyography (HD-sEMG) signals and the hybrid model of convolutional neural network (CNN) and graph neural network (GNN) has attracted ...

This paper presents a novel approach to developing a hand gesture recognition model utilizing Electromyography (EMG) sensors for real-time control of various functions on a mobile device. EMG signals, ...

The need for sign language interpreters makes it difficult to communicate effectively with deaf and mute people. The goal of this research is to create a deep learning model that can translate visuals ...

Joni is survived by her husband Chuck Jenkins of Keokuk; her daughter Marisa Roach of Quincy, Illinois; her son Tyler (Lindsey) Roach of Mooresville, North Carolina; her sister Lori Neves of Kahoka, ...

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