Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

sEMG-Based Natural Control Interface for a Variable Stiffness Transradial Hand Prosthesis (1910.11946v1)

Published 25 Oct 2019 in eess.SP, cs.SY, and eess.SY

Abstract: We propose, implement and evaluate a natural human-machine control interface for a variable stiffness transradial hand prosthesis that achieves tele-impedance control through surface electromyography (sEMG) signals. This interface, together with variable stiffness actuation (VSA), enables an amputee to modulate the impedance of the prosthetic limb to properly match the requirements of a task, while performing activities of daily living. Both the desired position and stiffness references are estimated through sEMG signals and used to control the VSA hand prosthesis. In particular, regulation of hand impedance is managed through the impedance measurements of the intact upper arm; this control takes place naturally and automatically as the amputee interacts with the environment, while position of the hand prosthesis is regulated intentionally by the amputee through the estimated position of the shoulder. The proposed approach is advantageous, since the impedance regulation takes place naturally without requiring amputees' attention and diminishing their functional capability. Consequently, the proposed interface is easy to use, does not require long training periods or interferes with the control of intact body segments. The performance of the approach is evaluated through human subject experiments where adequate estimation of references and independent control of position and stiffness are demonstrated.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (2)
  1. Elif Hocaoglu (4 papers)
  2. Volkan Patoglu (16 papers)
Citations (9)

Summary

We haven't generated a summary for this paper yet.