Published October 2024 | Version v1
Journal article

Development and evaluation of a novel force myography (FMG) based human-machine interface for transradial prosthetics: A comparative study with electromyography (EMG) techniques

  • 1. University of Engineering and Technology, Peshawar (Pakistan). Dept. of Mechatronics Engineering
  • 2. University of Calabria, Rende (Italy). Dept. of Computer Science

Description

Human-Machine Interfaces (HMIs) must bridge human skills with machine control, notably in active prosthesis. Electromyography (EMG) is the most popular prosthesis actuation method. However, researchers need new HMIs for active prosthesis development. This research introduces Forcemyography (FMG)-based HMI using force-sensitive resistors (FSRs) to capture myoelectric data. A particularly constructed case with two integral parts—an internal and an exterior component—is FMG. This FMG enclosure adapts effortlessly to the user's limb and shape for best performance and comfort. FMG and sEMG were compared in the experimental evaluation. Stability, forecast accuracy, hair and sweat resistance, wearability, and cost-effectiveness were examined. FMG signals outperformed sEMG signals in this comprehensive examination. FMG outperformed sEMG in stability and prediction accuracy. FMG produced outstanding results right from capture without post-processing, a unique advantage. The specialised enclosure protected FSRs from outside interference and delivered precise signals. The Forcemyography (FMG)-based HMI is a breakthrough in active prosthesis technology. Its versatility, consistent signal acquisition, and user-centric design promise improved human-machine interactions. FMG leads the way to smooth, intuitive, and efficient human-machine interface. (author)

Additional details

Publishing Information

Journal Title
Mehran University Research Journal of Engineering and Technology
Journal Volume
43
Journal Issue
4
Journal Page Range
p. 55-62
ISSN
0254-7821

INIS

Country of Publication
Pakistan
Country of Input or Organization
Pakistan
INIS RN
55105775
Subject category
S42: ENGINEERING;
Descriptors DEI
ACCURACY; DIAGNOSTIC TECHNIQUES; EQUIPMENT INTERFACES; INTERFERENCE; LIMBS; PROSTHESES; SIGNALS
Descriptors DEC
BODY; MEDICAL SUPPLIES