Development of a haptic feedback device based on electromyography signals and an Arduino

• Grant number: 19/10653-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Effective date (Start): August 01, 2019
• Effective date (End): January 31, 2021
• Field of knowledge: Physical Sciences and Mathematics - Physics
• Principal Investigator: Gabriela Castellano
• Grantee: Bruno Grandi Sgambato
• Host Institution: Instituto de Física Gleb Wataghin (IFGW). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology, AP.CEPID

Abstract

The main objective of our work is to build, using an Arduino microcontroller, a device integrating a generator of haptic feedback and an electromyography (EMG) sensor. More specifically, we intend to: 1) Build a human-machine-human interface, capable of measuring a biosignal (electromyogram), while filtering and extracting relevant information, and utilize this information as an input to control a system which will generate a haptic force feedback, using electric stimulation; 2) Study the potential of this system to assist the development of new applications in biomedicine, IoT and rehabilitation; 3) Provide the student with knowledge about scientific research, EMG, biosignals, signal analysis and control tools, electric stimulation and haptic feedback.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SGAMBATO, B. G.; CASTELLANO, G.; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Performance Comparison of Different Classifiers Applied to Gesture Recognition from sEMG Signals. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 8-pg., 2022-01-01. (13/07559-3, 19/10653-8)