real-time high density electromyography to control robotic devices. A study co-authored by SANT'ANNA school RESEARCHERS published in Special issue on Intelligent Human-Robot Interaction
The myoelectric control of dexterous prosthetic devices and exoskeletons with neuromuscular interfacing is still a challenging task. Myoelectric signals, i.e. electric biological signals generated by the motor neurons connected to the muscle fibers, are used to control assistive devices, wearable devices, robotic exoskeletons and teleoperated robots (bilateral robot remote operations).
Sant’Anna School Researchers of Perceptual Robotics (PERCRO Lab.) have focused on the functionality of prosthetic hands and measured these signals through an electromyography (EMG) circuit. The EMG circuit amplifies the signals and generates the control commands as muscle activity provides an intuitive interface to perform gesture recognition. As myoelectric control interfaces typically require an extensive calibration, scientists proposed a simultaneous finger force estimation based on ridge regression using individual finger tasks. Results demonstrate the feasibility of proportional and simultaneous finger control by real-time high-density signals recording with 192 electrodes over the forearm surface.
Using recognition of individual movements of the fingers, data gathered from 8 healthy subjects without amputations demonstrated a rapid calibration and achieved performance accuracy using decoding algorithms to match the speed requirement of real-time applications. Participants gained rapid closed-loop neural cursor control using two feature sets extracted from high-density EMG recordings: EMG linear envelope (ENV) and non-linear EMG. The non-linear transformation improved the performance, leading to higher completion rate and more stable control, especially for the non-trained movement classes (better generalization).
Complex coordination patterns in healthy subjects show the possibility for a future application to neurologically impaired subjects rehabilitation. The study, under the supervision of Professor Antonio Frisoli from Sant’Anna School “Human Robot Interaction” research area and Professor Dario Farina, Chair in Neurorehabilitation Engineering at the Imperial College – London, is published in the “Special issue on Intelligent Human-Robot Interaction for Rehabilitation and Physical Assistance” - “IEEE Robotics and Automation Letters”.
Michele Barsotti, Sigrid Dupan, Ivan Vujaklija, Strahinja Dosen, Antonio Frisoli and Dario Farina co-authored the paper “Online Finger Control Using High-Density EMG and Minimal Training Data for Robotic Applications”.
“Seasonal School”: 23 intensive courses, on-line or on-site, from September 2021 to July 2022, open to high-performing students from all over the word. Preferential rates are available as well as prizes provided by EY Foundation and “Il Talento all'Opera"
Sant’Anna School presents the second edition of the “Seasonal School”, the one-week intensive courses “of excellence”, on-line or...
PHD COURSES: A NEW CALL IS OPEN AT THE SANT'ANNA SCHOOL WITH 28 ADDITIONAL POSITIONS IN ORDER TO AWARD SCHOLARSHIPS FOR PH.D. COURSES ON THE TOPICS OF INNOVATION OR GREEN. DEADLINE FOR APPLICATION: OCTOBER 4TH, 2021 AT 12:00 P.M. (ITALIAN TIME)
A new call is open with 28 additional positions in order to award scholarships for Ph.D. courses on the topics of Innovation or Green, linked...
BRIGHT-Night 2021, Friday, September 24th, from 16.30 pm: three different locations in Pisa for the presentation of the cutting-edge research carried out at the Sant’Anna School. This is The program for the night of researchers
Spanning from the next President of the Republic identikit to the importance of vaccination against Covid-19, passing through the analysis...