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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.12807 |
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| _version_ | 1866909262823817216 |
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| author | Sarker, Md Abdul Baset Sola, Juan Pablo S. Jones, Aaron Laing, Evan Sola-Thomas, Ernesto Imtiaz, Masudul H. |
| author_facet | Sarker, Md Abdul Baset Sola, Juan Pablo S. Jones, Aaron Laing, Evan Sola-Thomas, Ernesto Imtiaz, Masudul H. |
| contents | This paper presents a sensorized vision-enabled prosthetic hand aimed at replicating a natural hand's performance, functionality, appearance, and comfort. The design goal was to create an accessible substitution with a user-friendly interface requiring little to no training. Our mechanical hand uses a camera and embedded processors to perform most of these tasks. The interfaced pressure sensor is used to get pressure feedback and ensure a safe grasp of the object; an accelerometer is used to detect gestures and release the object. Unlike current EMG-based designs, the prototyped hand does not require personalized training. The details of the design, trade-offs, results, and informing the next iteration are presented in this paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_12807 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Vision Controlled Sensorized Prosthetic Hand Sarker, Md Abdul Baset Sola, Juan Pablo S. Jones, Aaron Laing, Evan Sola-Thomas, Ernesto Imtiaz, Masudul H. Human-Computer Interaction Artificial Intelligence This paper presents a sensorized vision-enabled prosthetic hand aimed at replicating a natural hand's performance, functionality, appearance, and comfort. The design goal was to create an accessible substitution with a user-friendly interface requiring little to no training. Our mechanical hand uses a camera and embedded processors to perform most of these tasks. The interfaced pressure sensor is used to get pressure feedback and ensure a safe grasp of the object; an accelerometer is used to detect gestures and release the object. Unlike current EMG-based designs, the prototyped hand does not require personalized training. The details of the design, trade-offs, results, and informing the next iteration are presented in this paper. |
| title | Vision Controlled Sensorized Prosthetic Hand |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2407.12807 |