Towards the investigation on the effect of the forearm rotation on the wrist FMG signal pattern using a high-density FMG sensing matrix

Abstract

Force myography (FMG) is an emerging technique to predict extremity movement. The FMG signals captured near the wrist can be used to predict many hand gestures. However, the wrist FMG pattern of a gesture changes along with different forearm positions. It is difficult to accurately predict a gesture without knowing the effect of the forearm position on the wrist FMG pattern. To investigate such an effect, we developed a novel setup to register the pattern using the off-the-shelf force-sensing matrix to capture the change of the pattern during forearm rotation for two distinct hand gestures. Based on the collected data, we observed the wrist FMG patterns shifted in relation to the forearm orientation in some scenarios. We analyzed the results and examined the viability to use such a setup to facilitate future studies.

A survey on the state of the art of force myography technique (FMG): analysis and assessment

“…Most FMG sensors are based on resistive polymer-thick film (RPTF) technology [ 111 ], which contains force sensing resistors (FSR), either configured in a matrix [ 114 ] or array forms [ 22 ]. Other types include capacitive-optical fiber, textile, piezoelectric, and pneumatic based sensors.…”

“…For High-Density Polymer Thick Film Sensor Matrix, such a configuration is used to provide a more accurate FMG signals for the volumetric change of the muscle or make pressure mapping for a certain group of muscles. As discussed by Carlo et al [ 114 ], Tangio Printed Electronics' TPE-901 multi-touch sensor pad was utilized as the main sensing element to record the High-density Force Myography (HD-FMG) signals. It includes a total of 70 sensing components that span an active sensing area of around 8 cm by 5.2 cm.…”

“…b Current to voltage setup for FSR voltage divider circuit [ 111 ]. c Line Scanning circuit for HD-FMG matrix using operational amplifiers [ 114 ] …”

Effective Multi-Mode Grasping Assistance Control of a Soft Hand Exoskeleton Using Force Myography

“…Proper control of the exoskeleton depends mainly on accurate human intention detection. Several methods to determine human intention that are based on electromyography (EMG) (Anam et al, 2017 ; Meng et al, 2017 ; Pinzón-Arenas et al, 2019 ; Qi et al, 2019 ; Zhang et al, 2019 ; Asif et al, 2020 ) and force myography (FMG) (Islam and Bai, 2019 ; Xiao and Menon, 2019 , 2020 ) have been proposed. Leonardis et al ( 2015 ) used EMG to control a hand exoskeleton for bilateral rehabilitation.…”