Glove-Net: Enhancing Grasp Classification with Multisensory Data and Deep Learning Approach

Glove-Net: Enhancing Grasp Classification with Multisensory Data and Deep Learning Approach

Grasp classification is pivotal for understanding human interactions with objects, with wide-ranging applications in robotics, prosthetics, and rehabilitation. This study introduces a novel methodology utilizing a multisensory data glove to capture intricate grasp dynamics, including finger posture...

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Váldodahkkit: Subhash Pratap, Jyotindra Narayan, Yoshiyuki Hatta, Kazuaki Ito, Shyamanta M. Hazarika
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2024-07-01
Ráidu:Sensors
Fáttát:
data gloves
human grasp
grasp classification
deep learning
Liŋkkat:https://www.mdpi.com/1424-8220/24/13/4378

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https://www.mdpi.com/1424-8220/24/13/4378

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