Vision Controlled Sensorized Prosthetic Hand
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 4 of its 35 references that are in the map. First posted on arXiv 25 Jun 2024.
Builds on
4 of 35 references.
References · 4
- 2019EfficientDet: Scalable and Efficient Object Detectioncited by 1,018
- 2016Attentive Contexts for Object Detectioncited by 17
- 2017LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systemscited by 7
- 2020Real-time Mask Detection on Google Edge TPUcited by 3
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Citing papers per year: 2024: 1; 2025: 1.
2 papers.