Vision Controlled Sensorized Prosthetic Hand
Sarker, Md Abdul Baset, Sola, Juan Pablo S., Jones, Aaron, Laing, Evan, Sola-Thomas, Ernesto, Imtiaz, Masudul H.
–arXiv.org 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.
arXiv.org Artificial Intelligence
Jun-25-2024
- Country:
- Europe > Germany
- Brandenburg > Potsdam (0.04)
- North America > United States (0.04)
- Europe > Germany
- Genre:
- Research Report (0.64)
- Industry:
- Technology:
- Information Technology
- Architecture > Embedded Systems (0.90)
- Artificial Intelligence
- Machine Learning > Neural Networks (0.72)
- Vision (1.00)
- Hardware (0.95)
- Information Technology