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 result...
The study of hand and finger movement is an important topic with applications in prosthetics, rehabi...
In mechanomyography (MMG), crosstalk refers to the contamination of the signal from the muscle of in...
The study of hand and finger movement is an important topic with applications in prosthetics, rehabi...
Force myography (FMG) detects hand gestures based on muscular contractions, featuring as an alternat...
Abstract—We studied the relationship between grip force and external forearm pressure in nondisabled...
Hand force estimation is critical for applications that involve physical human-machine interactions ...
Surface Mechanomyography (MMG) is the recording of mechanical activity of muscle tissue. MMG measure...
Force myography (FMG) is a method that uses pressure sensors to measure muscle contraction indirectl...
Hand gesture recognition has emerged as an attractive and promising method in human-machine interact...
In this study, we analyzed the crosstalk in mechanomyographic (MMG) signals generated by the extenso...
Force myography (FMG) signals can read volumetric changes of muscle movements, while a human partici...
Additional file 2. Snap shot of hand movement signal in different wrist positions. This file include...
Background: Assistive robotic hand orthoses can support people with sensorimotor hand impairment in ...
Partial hand amputation forms more than 90% of all the upper limb amputations. To improve the qualit...
Abstract Background Recently, pattern recognition met...
The study of hand and finger movement is an important topic with applications in prosthetics, rehabi...
In mechanomyography (MMG), crosstalk refers to the contamination of the signal from the muscle of in...
The study of hand and finger movement is an important topic with applications in prosthetics, rehabi...
Force myography (FMG) detects hand gestures based on muscular contractions, featuring as an alternat...
Abstract—We studied the relationship between grip force and external forearm pressure in nondisabled...
Hand force estimation is critical for applications that involve physical human-machine interactions ...
Surface Mechanomyography (MMG) is the recording of mechanical activity of muscle tissue. MMG measure...
Force myography (FMG) is a method that uses pressure sensors to measure muscle contraction indirectl...
Hand gesture recognition has emerged as an attractive and promising method in human-machine interact...
In this study, we analyzed the crosstalk in mechanomyographic (MMG) signals generated by the extenso...
Force myography (FMG) signals can read volumetric changes of muscle movements, while a human partici...
Additional file 2. Snap shot of hand movement signal in different wrist positions. This file include...
Background: Assistive robotic hand orthoses can support people with sensorimotor hand impairment in ...
Partial hand amputation forms more than 90% of all the upper limb amputations. To improve the qualit...
Abstract Background Recently, pattern recognition met...
The study of hand and finger movement is an important topic with applications in prosthetics, rehabi...
In mechanomyography (MMG), crosstalk refers to the contamination of the signal from the muscle of in...
The study of hand and finger movement is an important topic with applications in prosthetics, rehabi...