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Akademický článek

A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps

Autor: Hangxin Liu, Zeyu Zhang, Ziyuan Jiao, Zhenliang Zhang, Minchen Li, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu

Publikováno v: Engineering, Vol 32, Iss , Pp 202-216 (2024)

In this work, we present a reconfigurable data glove design to capture different modes of human hand–object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks. To achieve various do

Externí odkaz: https://doaj.org/article/d1515188ea4047d8aba86f0e76e83b3b

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Akademický článek

Gesture-Controlled Robotic Arm for Agricultural Harvesting Using a Data Glove with Bending Sensor and OptiTrack Systems

Autor: Zeping Yu, Chenghong Lu, Yunhao Zhang, Lei Jing

Publikováno v: Micromachines, Vol 15, Iss 7, p 918 (2024)

This paper presents a gesture-controlled robotic arm system designed for agricultural harvesting, utilizing a data glove equipped with bending sensors and OptiTrack systems. The system aims to address the challenges of labor-intensive fruit harvestin

Externí odkaz: https://doaj.org/article/552128585be34ee6a512000caa673750

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Akademický článek

3D Hand Motion Generation for VR Interactions Using a Haptic Data Glove

Autor: Sang-Woo Seo, Woo-Sug Jung, Yejin Kim

Publikováno v: Multimodal Technologies and Interaction, Vol 8, Iss 7, p 62 (2024)

Recently, VR-based training applications have become popular and promising, as they can simulate real-world situations in a safe, repeatable, and cost-effective way. For immersive simulations, various input devices have been designed and proposed to

Externí odkaz: https://doaj.org/article/ac0cf1ee3ddd4a61b8372d72037ec87a

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